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=3D"49" alt=3D"Interfaz de usuario gr=C3=A1fica, Aplicaci=C3=B3n D= escripci=C3=B3n generada autom=C3=A1ticamente con confianza media" style=3D= "margin-top:41.25pt; margin-left:403.05pt; border-style:none; position:abso= lute" /></a> </sp= an><table style=3D"width:395.55pt; margin-bottom:0pt; padding:0pt; bord= er-collapse:collapse"><tr><td style=3D"width:3.25pt; padding:0pt 5.4pt; ver= tical-align:top">1</td><= td style=3D"width:171.95pt; padding:0pt 5.4pt; vertical-align:top">Kerly Bel=C3=A9n Chamba Esparza </td><td style=3D"= width:10.5pt; padding:0pt 5.4pt; vertical-align:top"> </td><td style=3D"width= :166.35pt; padding:0pt 5.4pt; vertical-align:top">https://orcid.org/0009-0006-6694-2289 </td><td styl= e=3D"padding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:3.25= pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"4" style=3D"w= idth:370.7pt; padding:0pt 5.4pt; vertical-align:top">Universidad T=C3=A9cnica de Cotopaxi (U= TC), Latacunga, Ecuador.Master=E2=80=99s degree in teaching English Foreign Langu= age.<img src=3D= "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNC= SVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNz= bJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhb= a0URPzsPQmuY9zzj1nLwcnuU1iQ0f+mzXZe///Wv/aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjm= ZCGjCVhcPHR3q8XrsaVNUITu/KSlu7LFeSpNNZ+57RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU= /Hy8/0W/aA/Xq43r1P3nOCNIFsW2XLleTd648Z/863v3nkjWCL59dp/fWSsfzOXNkShKacvfgnM= RlXjqqqIrwr5vkihyhxbT+K2ne082AAzADZXyPj+wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvd= daJfdwM9HwqYFSa0GO1SrpfucUVUXEZCQcqQtZ0VEU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0e= xjKgGrGcjTo2/oKS9EUZ2aPcf/Oo1iTI9UGqFJrzDF5+Sv+Wvg+y+IEVXaGibsbOO5hGBSkbUUQ= dRT9zaQuBhE6Ct2MT7/D9OIIVnw6Ct3csfk52oNtTMwcBbE0YteeC7we4LinSI9Z03dBNUVxTdu= 1eI7FcBIjHvPVU1Tjv7nn5sNMXv6WSjyFiIg17AAwqpRW9fqayNkiM0tjqDrag67mDCi0ARiB6g= 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style=3D"width:166.35p= t; padding:0pt 5.4pt; vertical-align:top">https://orcid.org/0000-0003-3263-6225 </td><td style=3D"pad= ding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:3.25pt; padd= ing:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"4" style=3D"width:370= .7pt; padding:0pt 5.4pt; vertical-align:top">Universidad T=C3=A9cnica de Cotopaxi (UTC), Lat= acunga, Ecuador.<a href=3D"mailto:Gina.venegas@utc.edu.ec" style=3D"= text-decoration:none">Gina.venegas@utc.edu.ec<= /span></a> </= span></td></tr><tr style=3D"height:0pt"><td style=3D"width:14.05pt"></t= d><td style=3D"width:182.75pt"></td><td style=3D"width:21.3pt"></td><td sty= le=3D"width:177.15pt"></td><td style=3D"width:0.3pt"></td></tr></table> = = ; <table style=3D"width:443.= 55pt; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td col= span=3D"7" style=3D"width:136pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"2" = style=3D"width:285.95pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Art=C3=ADculo de Inv= estigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gicaEnviado: 16/06/2026Revisado: 15/07/2026</span= >Aceptado: 01/08/= 2026 Publi= cado: 19/08/2026DOI: <a href=3D"https://doi.org/10.33262/exploradordigital.v10= i3.3735" style=3D"text-decoration:none">https://doi.org/10.33262/exploradordigital.v10i3.3735</a><sp= an style=3D"line-height:115%; font-family:'Times New Roman'; font-size:10pt= "> = </td></tr><tr><td colspan=3D"7" style=3D"width= :136pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"2" style=3D= "width:285.95pt; border-top:0.75pt solid #000000; border-bottom:0.75pt soli= d #000000; padding:0pt 5.4pt; vertical-align:top"> </td></tr= ><tr><td style=3D"width:53.2pt; border-top:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top"> = C=C3=ADtese:<sp= an style=3D"font-family:'Times New Roman'"> </td><td style=3D"wi= dth:4.55pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top"> </td><td = colspan=3D"6" style=3D"width:349.65pt; border-top:0.75pt solid #000000; pad= ding:0pt 5.4pt; vertical-align:top">&= #xa0;Chamba Esparza , K. B., & Venegas= Alvarez, G. S. (2026). Un libro sensorial para el aprendizaje del ingl=C3= =A9s como lengua extranjera en ni=C3=B1os de entre 3 y 4 a=C3=B1os. 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se publicar=C3=A1 en soporte = electr=C3=B3nico tiene como misi=C3=B3n contribuir a la formaci=C3=B3n de profes= ionales competentes con visi=C3=B3n human=C3=ADstica y cr=C3=ADtica que sea= n capaces de exponer sus resultados investigativos y cient=C3=ADficos en la= misma medida que se promueva mediante su intervenci=C3=B3n cambios positiv= os en la sociedad. <a href=3D"https://exploradordigital.org" style=3D"= text-decoration:none">https://exploradordigital= .org</a> La revista es editada por la Editorial Ciencia Digital (Ed= itorial de prestigio registrada en la C=C3=A1mara Ecuatoriana de Libro con = No de Afiliaci=C3=B3n 663) <a href=3D"http://www.celibro.org.ec" sty= le=3D"text-decoration:none">www.celibro.org.ec<= /span></a> = 0;</div> </td><td style=3D"padding:0pt; vertical-= align:top"></td></tr><tr style=3D"height:23.65pt"><td style=3D"width:53.2pt= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= "><sp= an style=3D"height:0pt; text-align:left; 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dWKXAAAAAElFTkSuQmCC" width=3D"77" height=3D"28" alt=3D"" style=3D"margin-t= op:0.15pt; margin-left:0pt; position:absolute" /> </td><td styl= e=3D"width:4.55pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:top"> </td><td colspan=3D"6" style=3D"width:349.65pt; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Esta revista est=C3=A1 pro= tegida bajo una licencia Creative Commons en la 4.0 International. Copia de= la licencia: <a href=3D"http://creativecommons.org/licenses/by-nc-s= a/4.0/" style=3D"text-decoration:none">http://c= reativecommons.org/licenses/by-nc-sa/4.0/</a> </td><td style=3D"padding:0pt; vertical-align:top"></td></= tr><tr><td colspan=3D"4" style=3D"width:87.5pt; border-top:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top">Palabras claves: Libro sen= sorial, &#x= a0; educaci=C3=B3n inicial,an=C3=A1lisis documental,vocabulario,aprendizaje,= multisensorial.</td><td colspan=3D"2" style=3D"width:0.7pt; border= -top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"> </td><td col= span=3D"2" style=3D"width:319.2pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Resumen Introducci=C3=B3n: el desarrollo de las habilidades del idioma ingl=C3=A9s durante la prime= ra infancia requiere recursos educativos que promuevan experiencias de apre= ndizaje activas, significativas y multisensoriales. Objetivo: dise=C3=B1ar un libro sensorial destinado al aprendizaje d= e vocabulario en ingl=C3=A9s para ni=C3=B1os de entre 3 y 4 a=C3=B1os, medi= ante la integraci=C3=B3n de estrategias multisensoriales basadas en experie= ncias previas y en la investigaci=C3=B3n. Metodolog=C3=ADa: se adopt=C3=B3 un enfoque cualitativo con un dise=C3=B1o d= e investigaci=C3=B3n documental. La informaci=C3=B3n fue recopilada mediant= e una lista de cotejo validada, aplicada al an=C3=A1lisis de cinco estudios= cient=C3=ADficos enfocados en el dise=C3=B1o e implementaci=C3=B3n de libr= os sensoriales e interactivos para el desarrollo del lenguaje. <span= style=3D"font-family:'Times New Roman'; font-weight:bold">Resultados:</spa= n> los hallazgos identificaron principios pedag= =C3=B3gicos comunes basados en el aprendizaje activo, el aprendizaje a trav= =C3=A9s del juego y las experiencias multisensoriales. Asimismo, los estudi= os revisados destacaron el uso de materiales t=C3=A1ctiles y manipulativos,= la asociaci=C3=B3n imagen-palabra, la narraci=C3=B3n de historias, las can= ciones y la interacci=C3=B3n guiada como estrategias efectivas para el desa= rrollo del vocabulario. Conclusi=C3=B3n: la revisi=C3=B3n bibliogr=C3=A1fica confirm=C3=B3 que las es= trategias multisensoriales, basadas en el juego e interactivas favorecen el= desarrollo del vocabulario y el aprendizaje significativo del ingl=C3=A9s = en la primera infancia. Estos resultados proporcionaron una base cient=C3= =ADfica para el dise=C3=B1o del libro sensorial y el uso de la evaluaci=C3= =B3n basada en la observaci=C3=B3n. =C3=81rea de estudio general: Educaci=C3=B3n. =C3=81rea de estudio e= spec=C3=ADfica: Aprend= izaje del idioma ingl=C3=A9s como lengua extranjera en educaci=C3=B3n inici= al. Tipo de estudio: Revisi=C3=B3n bibliogr=C3=A1fica. </td><td style= =3D"padding:0pt; vertical-align:top"></td></tr><tr><td colspan=3D"3" style= =3D"width:85.25pt; padding:0pt 5.4pt; vertical-align:top">Keywords: Sensory= book,early childhood, education= <sp= an style=3D"font-family:'Times New Roman'">literature, review,<p= class=3D"Title" style=3D"text-align:left; line-height:115%; font-size:12pt= ">vocabulary,multisensory, learning.</td><td = colspan=3D"2" style=3D"width:0.85pt; padding:0pt 5.4pt; vertical-align:top"= > </t= d><td colspan=3D"3" style=3D"width:321.3pt; border-top:0.75pt solid #000000= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= ">AbstractIntroduction: the development of English language skills during early childhood re= quires educational resources that promote active, meaningful, and multisens= ory learning experiences. Objective: design a sensory book aimed at teaching English vocabulary to ch= ildren ages 3 to 4 by integrating multisensory strategies based on prior ex= periences and research. Methodology: a qualitative approach was adopted using a literature review res= earch design. Information was collected using a validated checklist applied= to the analysis of five scientific studies focused on the design and imple= mentation of sensory and interactive books for language development. </span= >Results:</= span> the findings identified= common pedagogical principles based on active learning, learning through p= lay, and multisensory experiences. Furthermore, the studies reviewed highli= ghted the use of tactile and firsthand materials, picture-word associations= , storytelling, songs, and guided interaction as effective strategies for v= ocabulary development. Conclusion: the literature review confirmed that multisensory, play-based, and= interactive strategies promote vocabulary development and meaningful learn= ing of English in early childhood. These findings provided a scientific bas= is for the design of the sensory book and the use of observation-based asse= ssment. General Area of Study: Education. Specific area of study: Learning English as a Foreign Language in Early Childhood Edu= cation. Type of study: Systematic bibliographic review. </td><td style=3D"padding:0pt= ; vertical-align:top"></td></tr><tr style=3D"height:0pt"><td style=3D"width= :64pt"></td><td style=3D"width:15.35pt"></td><td style=3D"width:16.7pt"></t= d><td style=3D"width:2.25pt"></td><td style=3D"width:9.4pt"></td><td style= =3D"width:2.1pt"></td><td style=3D"width:37pt"></td><td style=3D"width:293p= t"></td><td style=3D"width:3.75pt"></td></tr></table> = <ol style=3D"margin:0pt; padding-left:0pt"><l= i style=3D"margin-top:12pt; margin-left:17.3pt; line-height:115%; padding-l= eft:4pt; font-family:'Times New Roman'; font-size:12pt; font-weight:bold; c= olor:#767171">Introduction</li></ol>Childhood is a critical stage in human develo= pment. Early educational experiences shape neuroplasticity and strengthen e= xecutive functions such as memory, language, and emotional self-regulation = Palma et al. (2026) therefore the foundations for cognitive, linguistic, se= nsory, and socioemotional growth are laid during these early years.<= /p>In this context,= multisensory learning has gained increasing importance in the field of edu= cation. Park et al. (2025) demonstrated that multisensory instruction impro= ves early literacy and motivation in preschoolers, highlighting the value o= f integrating multiple sensory channels into the learning process. Similarl= y, Frank et al. (2025) emphasize that continuous changes in word recognitio= n support vocabulary growth during early childhood, underscoring the import= ance of incorporating diverse stimuli in early educational settings. This i= s why multisensory learning is recognized as an effective approach to enhan= cing vocabulary acquisition within a language.However, despite growing evidence sup= porting the effectiveness of multisensory learning in vocabulary acquisitio= n, its implementation in educational contexts particularly in the teaching = of English as a foreign language (EFL) in early childhood education remains limited. Neeman = & Raviv (2026) note that, although gamified and multisensory strategies= lead to significant improvements in vocabulary acquisition, their applicat= ion in school settings still requires greater systematization to achieve a = sustained pedagogical impact. This gap between theory and practice highligh= ts the need to develop innovative teaching resources capable of operational= izing multisensory principles in the early teaching of English vocabulary.<= /span>In respon= se to this challenge, the present study I crated with the objective to desi= gn a sensory book aimed at learning English vocabulary in children aged 3 t= o 4, through the integration of multisensory strategies based on previous e= xperiences and research. Considering that sensory books have recently been = recognized as valuable resources that foster active participation and meani= ngful learning experiences in early childhood (Baquerizo et al., 2025). Thi= s is a fundamental part of the project. For this reason, the study search, = to identify multisensory strategies and resources used in previous research= to strengthen English language learning in young children, to design senso= ry activities and materials adapted to the characteristics and needs of 3 t= o 4 years old children for learning English vocabulary, and to develop a se= nsory book that integrates visual, tactile, and didactic stimuli to enhance= the teaching and learning process of English vocabulary.<ol sta= rt=3D"2" style=3D"margin:0pt; padding-left:0pt"><li class=3D"ListParagraph"= style=3D"margin-top:12pt; margin-left:17.3pt; line-height:115%; padding-le= ft:4pt; font-family:'Times New Roman'; font-size:12pt; font-weight:bold; co= lor:#767171">Methodology </li></ol>This research is applied in nature, as it seek= s to develop a practical pedagogical proposal: a sensory book. Applied educ= ational research is characterized by its focus on solving specific problems= and producing innovative resources that enhance teaching practice (Rafiq-u= z-Zaman & Shih, 2026). Furthermore, the study adopts a qualitative appr= oach, based on the work of Schreyer & Balas (2025), who emphasize that = qualitative designs are particularly appropriate for exploring educational = practices and interpreting contextualized information without manipulating = variables.The research has a descriptive scope and employs a non-experimental docum= entary design, as it focuses on the analysis of five previous studies selec= ted according to the criterion of thematic relevance. Documentary research = designs are considered appropriate when the objective is to systematically = organize and interpret academic sources, generating new knowledge without e= xperimental manipulation (Schreyer & Blikstad-Balas, 2025). Therefore, = this design is considered feasible, as the study aims to produce a bibliogr= aphic synthesis.For data analysis, the study adopts a qualitative approach, which, = according to Rodrigues (2026) is particularly relevant in the field of educ= ation because it enables an in-depth interpretation of the data and the ide= ntification of meaningful categories within the contexts under study, there= by strengthening the validity of the research process. Consequently, this a= pproach allows the information to be organized systematically and facilitat= es the identification of relevant patterns across the reviewed studies.</sp= an>A documentar= y analysis checklist, validated by experts, is used as a research instrumen= t to ensure methodological rigor. In this regard, Rodrigues (2026) highligh= ts that techniques such as observation, document analysis, and content cate= gorization reinforce the validity and reliability of qualitative research i= n education. Therefore, the selection of this instrument is considered appr= opriate because it enables the examination of aspects related to the struct= ure, sensory elements, materials, activities, and teaching strategies prese= nted in the selected studies. This process will provide the essential infor= mation required for the development of the sensory book by ensuring that th= e most relevant elements identified in literature are incorporated into its= design.<ol start=3D"3" style=3D"margin:0pt; padding-left:0pt"><= li class=3D"ListParagraph" style=3D"margin-top:12pt; margin-left:17.3pt; te= xt-align:justify; line-height:115%; padding-left:4pt; font-family:'Times Ne= w Roman'; font-size:12pt; font-weight:bold; color:#767171">Results </= span></li></ol>A li= terature review was conducted of five studies, the first study is =E2=80=9C= Enhancing early childhood education: an English busy book for second-year k= indergarten students=E2=80=9D (Regina & Alvita, 2025). The second study= is =E2=80=9CThe use of sensory textile books to encourage creativity among= preschool children: a case study=E2=80=9D (Shi et al., 2023). The third st= udy is =E2=80=9CA book interaction scheme to enhance children's reading exp= eriences and preferences=E2=80=9D (Zhang et al., 2020). The fourth study is= =E2=80=9CTeaching style and storybook format: effects on vocabulary develo= pment and story comprehension in young EAL learners=E2=80=9D (Savva et al.,= 2026). The last one is =E2=80=9CLet=E2=80=99s read together=E2=80=9D: a pa= rent-focused intervention on dialogic book reading to improve early languag= e and literacy skills in preschool children=E2=80=9D (Dicataldo et al., 202= 2).The analysis was conduct= ed using a checklist structured into six categories: pedagogical approach, = teaching materials, vocabulary teaching strategies, child participation, le= arning assessment, and contributions to the design of sensory books. These = findings made it possible to identify the pedagogical, didactic, and method= ological characteristics, which are presented in <a href=3D"#tabla1"= style=3D"text-decoration:none">Table 1</a>.= <a id=3D"tabla1">Table 1 </a>Comparative analysis of the selected studies according to the documenta= ry analysis categories<table style=3D"width:100%; margin-bottom:= 0pt; padding:0pt; border-collapse:collapse"><tr style=3D"height:88.1pt"><td= colspan=3D"2" style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:5pt; vertical-align:top">ARTICLES </td><td style=3D"width= :13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:5pt; vertical-align:top">Enhancing early childhood education: an English busy book = for second-year kindergarten students.</td><td style=3D"width:15= .24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:5pt; vertical-align:top">The use= of sensory textile books to encourage creativity among preschool children:= a case study.</td><td style=3D"width:13.66%; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-al= ign:top">A book inter= action scheme to enhance children's reading experiences and preferences</sp= an></td><td style=3D"width:15.54%; border-top:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">= Teaching style and storybook = format: effects on vocabulary development and story comprehension in young = EAL learners.</td><td style=3D"width:15.3%; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-alig= n:top">Let=E2=80=99s = read together=E2=80=9D: a parent-focused intervention on dialogic book read= ing to improve early language and literacy skills in preschool children.</s= pan></td></tr><tr style=3D"height:22pt"><td style=3D"width:13.62%; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5p= t; vertical-align:top">CATEGORIES</td><td style=3D"width:12.76%; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-al= ign:top">General In= formation </td><td style=3D"width:13.88%; border-top:0.75pt soli= d #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:= top">Authors: Regina = & Alvita(2025) Objective:= To develop a = bilingual English busy book to </td><td style=3D"width:15.24%; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :5pt; vertical-align:top">Authors: Shi et al. (2023) &#= xa0; Country:Malaysia. Objective:To identify how sensory books </td>= <td style=3D"width:13.66%; border-top:0.75pt solid #000000; border-bottom:0= .75pt solid #000000; padding:5pt; vertical-align:top">Authors:<= p style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font= -size:9pt">Zhang et al. (2020= ) Co= untry:= China Objective: To examin= e how book interaction </td><td style=3D"width:15.54%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; ve= rtical-align:top">Authors:Savva et al. (2026) Country:Cyprus. Objective:<span= style=3D"font-family:'Times New Roman'">Comparing print books vs. <= /p></td><td style=3D"width:15.3%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><s= pan style=3D"font-family:'Times New Roman'; font-weight:bold">Authors:</spa= n>Dicataldo e= t al. (2022) Country:Italy Objective: Evaluate a parent-focused dialogic </td></tr></table>Table 1 Comparative analysis of the s= elected studies according to the documentary analysis categories (continuat= ion)<table style=3D"width:100%; margin-bottom:0pt; padding:0pt; = border-collapse:collapse"><tr style=3D"height:22pt"><td rowspan=3D"3" style= =3D"width:13.64%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:5pt; vertical-align:top"> </td><td style=3D"width:12.76%; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:5pt; vertical-align:top"> </td><td style=3D"width:13.88%; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-al= ign:top">support = vocabulary development and English language learning. Participants:<= p style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font= -size:9pt">14=E2=80=9315 kind= ergarten students aged 5=E2=80=936 years.Design:Community service lea= rning project using the ADDIE model.</td><td style=3D"width:15.2= 4%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:5pt; vertical-align:top">influence preschool children and develop a sensory book that = promotes a traditional, firsthand learning approach. Participants:<p= style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font-= size:9pt">Three early childho= od education experts: two Montessori teachers and one teacher with experien= ce in kindergarten and primary education. Design: Experimental, two factors (interaction and gender).= </td><td style=3D"width:13.66%; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">affects children=E2=80= =99s reading preferences and experiences. Participants: = 0; 40 children aged 5=E2=80=936 Design: Experimental</td><td sty= le=3D"width:15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:5pt; vertical-align:top">e-books and teaching styles (interactive vs. pe= rformance) in vocabulary and story comprehension among EAL children. </span= >Participan= ts:60 ch= ildren aged 3=E2=80=937. Design:2x2 experimental study.</td><td st= yle=3D"width:15.3%; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:5pt; vertical-align:top">reading intervention to improve preschoolers= =E2=80=99 language and literacy. Participants:40 children (ages 4=E2=80=936= ) and their parents, divided into treatment, information, and control group= s.</td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:5pt; vertical-align:top">Pedagogical Approach </td><td style=3D"width:13.88%; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 5pt; vertical-align:top">Active, play-based, and firsthand learning supported by the ADDIE i= nstructional design model. The book was designed according to the school cu= rriculum and students=E2=80=99 learning needs.</td><td style=3D"= width:15.24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #= 000000; padding:5pt; vertical-align:top">Montessori-inspired, constructivist, child-centered= , and firsthand learning. The approach promotes independent exploration, se= nsory experiences, play, creativity, and learning through the manipulation = of physical materials. </td><td style=3D"width:13.66%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; ve= rtical-align:top"> Child-centered,= experiential, and multisensory learning.</td><td style=3D"width= :15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:5pt; vertical-align:top">Grounded in adult scaffolding and shared reading styles.= Based on Cognitive Load Theory (CLT). Compared dialogic interactive readin= g with performance-based expressive storytelling.</td><td style= =3D"width:15.3%; border-top:0.75pt solid #000000; border-bottom:0.75pt soli= d #000000; padding:5pt; vertical-align:top">Based on dialogic book reading principles (PEER = & CROWD strategies). Parents are trained to actively engage children, p= rovide feedback, and adapt reading style to children=E2=80=99s abilities.</= span></td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%; bor= der-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5= pt; vertical-align:top">Didactic Materials </td><td style=3D"width:13.88%; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; v= ertical-align:top">A bilingual English Indonesian busy book containing interactive activitie= s related to </td><td style=3D"width:15.24%; border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-ali= gn:top">Sensory t= extile books are made with fabric, different textures, bright colors, and s= imple interactive </td><td style=3D"width:13.66%; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertica= l-align:top">Inte= ractive books with flip, draw, pop-up, folding, tactile, and olfactory feat= ures.</td><td style=3D"width:15.54%; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">= Two stories: The = Kissing Hand and Elmer and Rose, available in both print and e-book formats= . E-</td><td style=3D"width:15.3%; border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><p= style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font-= size:9pt"> Storybooks with 20 target vocabular= y words. Parents received books and weekly assignments. Intervention </span= ></td></tr></table>Table 1 Comparative analysis of the selected studies according to the documentary= analysis categories (continuation)<table style=3D"width:100%; m= argin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr style=3D"heigh= t:22pt"><td rowspan=3D"3" style=3D"width:13.62%; border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"= > <= /td><td style=3D"width:12.76%; border-top:0.75pt solid #000000; border-bott= om:0.75pt solid #000000; padding:5pt; vertical-align:top"> </td><td style=3D"w= idth:13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0= 00000; padding:5pt; vertical-align:top">eight curriculum-based topics. The activities includ= ed matching, pasting, classifying, drawing, coloring, and writing.</= p></td><td style=3D"width:15.24%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><s= pan style=3D"font-family:'Times New Roman'">mechanisms. The proposed featur= es included Velcro, buttons, zippers, shoelaces, puzzles, matching activiti= es, and shape-recognition tasks.</td><td style=3D"width:13.66%; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:5pt; vertical-align:top"> </td><td style=3D"width:15.54%; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-= align:top">books = were =E2=80=9Cideal=E2=80=9D designs: audio narration, synchronized text hi= ghlighting, vocabulary-support hotspots, limited interactivity, teacher-mon= itored use.</td><td style=3D"width:15.3%; border-top:0.75pt soli= d #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:= top">included fou= r modules over six weeks, with video modeling and strategy training.= </td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; v= ertical-align:top">= Vocabulary Teaching Strategies </td><td style=3D"width:13.88%; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :5pt; vertical-align:top">Picture-word association, thematic vocabulary learning, bilingual = vocabulary presentation, matching activities, classification tasks, guided = questions, repetition, and firsthand practice. </td><td style=3D= "width:15.24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid = #000000; padding:5pt; vertical-align:top">The study did not evaluate a specific vocabulary-t= eaching strategy. However, the experts indicated that sensory books could i= nclude familiar topics and concepts such as animals, alphabets, numbers, co= lors, and shapes. Multisensory interaction through touch, sight, and sound = could support learning and engagement.</td><td style=3D"width:13= .66%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:5pt; vertical-align:top">Not directly addressed.</td><td style=3D"width:1= 5.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000;= padding:5pt; vertical-align:top">Interactive style enhanced expressive vocabulary and impli= cit comprehension. Performance style supported explicit comprehension. No d= ifferences found in receptive vocabulary or standardized scores. Adult medi= ation was more influential than book format.</td><td style=3D"wi= dth:15.3%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:5pt; vertical-align:top">Focused on active participation, vocabulary growth, in= ferential skills, and comprehension. Treatment groups showed stronger gains= in oral language and literacy compared to information and control groups.<= /span></td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 5pt; vertical-align:top">Children=E2=80=99s Participation </td><td style=3D"width:1= 3.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000;= padding:5pt; vertical-align:top">Children actively participated by manipulating materials, = matching pictures, classifying objects, pasting images, drawing, and </span= ></td><td style=3D"width:15.24%; border-top:0.75pt solid #000000; borde= r-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">Children were encouraged to = actively explore, touch, manipulate, open and close mechanisms, solve simpl= e problems, and interact independently with the materials. </td>= <td style=3D"width:13.66%; border-top:0.75pt solid #000000; border-bottom:0= .75pt solid #000000; padding:5pt; vertical-align:top">Children actively explored books and e= xpressed their emotions and preferences.</td><td style=3D"width:= 15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000= ; padding:5pt; vertical-align:top">Children engaged in four shared reading sessions, explori= ng both print and digital books. They interacted with e-book features under= teacher supervision.</td><td style=3D"width:15.3%; border-top:0= .75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; verti= cal-align:top">Ch= ildren engaged in shared reading at home with parents using dialogic strate= gies. Active involvement increased attention, vocabulary use, and inferenti= al </td></tr></table>Table 1 Comparative analysis of the selected studies according to the do= cumentary analysis categories (continuation)<table style=3D"widt= h:100%; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr style= =3D"height:22pt"><td rowspan=3D"3" style=3D"width:13.62%; border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-a= lign:top"> </s= pan></td><td style=3D"width:12.76%; border-top:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"> </td><td s= tyle=3D"width:13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt= solid #000000; padding:5pt; vertical-align:top">completing activities. The busy book could = be used both at school and at home with parental support.</td><t= d style=3D"width:15.24%; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:5pt; vertical-align:top">Bright colors, attractive topics, varied= textures, and simple mechanics increased attention and engagement.<= /p></td><td style=3D"width:13.66%; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><= span style=3D"font-family:'Times New Roman'"> </td><td styl= e=3D"width:15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:5pt; vertical-align:top"> </td><td style=3D"width:15.3%= ; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padd= ing:5pt; vertical-align:top">comprehension.</td></tr><tr style=3D"height:22pt"><t= d style=3D"width:12.76%; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:5pt; vertical-align:top">Assessment </td><td style=3D"= width:13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #= 000000; padding:5pt; vertical-align:top">Teacher feedback, an assessment sheet, expert valid= ation, classroom observation, and children=E2=80=99s participation during s= elected activities. Experts also recommended brief self-assessment sections= for each topic. </td><td style=3D"width:15.24%; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical= -align:top">Data = was collected through semi-structured, open-ended interviews with three experts= . The study did not us= e a direct assessment instrument with children; findings were based mainly = on expert perspectives and qualitative analysis.</td><td style= =3D"width:13.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:5pt; vertical-align:top">Reading time, behavioral observation, emotion c= ards, and five-star ratings.</td><td style=3D"width:15.54%; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5p= t; vertical-align:top">Measures: receptive and expressive vocabulary, implicit and explicit = comprehension, standardized PLS-5 UK test. Analyses controlled age and base= line language ability.</td><td style=3D"width:15.3%; border-top:= 0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vert= ical-align:top">P= re- and post-tests included vocabulary probes, inference tasks, standardize= d measures (PPVT-R, PVCL, TOR 3=E2=80=938, NEPSY-II), and observational too= ls for parent-child interaction.</td></tr><tr style=3D"height:15= .3pt"><td style=3D"width:12.76%; border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:5pt; vertical-align:top"><span= style=3D"font-family:'Times New Roman'">Contribution to Sensory Book Desig= n </td><td style=3D"width:13.88%; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">The study provides a= structured model for designing a curriculum-aligned bilingual busy book. I= t highlights the importance of interactive activities, thematic vocabulary,= firsthand learning, teacher guidance, and family involvement.</= td><td style=3D"width:15.24%; border-top:0.75pt solid #000000; border-botto= m:0.75pt solid #000000; padding:5pt; vertical-align:top">The study supports the inclusion of= varied textures, bright colors, simple mechanisms, and firsthand activitie= s to promote exploration, creativity, imagination, engagement, and fine mot= or development. It also highlights the importance of designing materials th= at children can manipulate independently.</td><td style=3D"width= :13.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:5pt; vertical-align:top">Supports the use of sensory and interactive elements to = increase children=E2=80=99s interest, participation, and positive reading e= xperiences.</td><td style=3D"width:15.54%; border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align= :top">Highlights = that pedagogical quality and adult mediation matter more than book medium. Well-designed e-books with= restrained, content-aligned interactivity can support vocabulary and compr= ehension, but require scaffolding.</td><td style=3D"width:15.3%;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:5pt; vertical-align:top">Demonstrates that parent-focused dialogic reading can significan= tly improve preschoolers=E2=80=99 language, comprehension, and literacy ski= lls. Highlights importance of parental scaffolding and interactive reading = behaviors.</td></tr></table> The analysis revealed a consistent tre= nd toward the implementation of pedagogical approaches centered on children= =E2=80=99s active participation, in which learning is constructed through i= nteraction with materials designed to encourage exploration and language de= velopment. Although the studies employed different methodological framework= s, they all agreed on viewing educational resources to promote meaningful l= earning experiences through firsthand activities, play, and exploration. Re= garding the materials, there was a clear preference for interactive resourc= es, such as fabric books, busy books, illustrations, movable parts, and tac= tile elements, which helped stimulate different sensory channels during the= learning process. These findings made it possible to establish the pedagog= ical principles and criteria for selecting the materials considered in the = design of the proposed sensory book.Regarding teaching strategies, the analysis rev= ealed a predominance of activities aimed at strengthening vocabulary develo= pment through contextualized and highly participatory experiences. Among th= e most frequently used strategies were the association of images with words= , storytelling, matching games, guided repetition, the use of songs, guidin= g questions, and firsthand manipulation of objects, all of which fostered t= he progressive development of language through constant interaction with te= aching materials. At the same time, children=E2=80=99s participation was ch= aracterized by an active role throughout the learning process, promoting in= dependent exploration, play-based learning, and ongoing interaction with te= achers or family members. Taking together, these results helped identify th= e methodological strategies that foster meaningful child participation and = were used as guidelines for designing the activities included in the sensor= y book.F= inally, the literature review identified common elements related to the ass= essment of learning and the structural characteristics of the educational r= esources developed. These include assessment procedures based on direct obs= ervation, checklists, performance records, and expert validation processes,= prioritizing the evaluation of the level of participation, interaction wit= h the materials, and progress made during the activities. Likewise, a compa= rison of the studies reveals shared criteria for the design of multisensory= resources, including the progressive organization of activities, the incor= poration of manipulatives, the use of engaging illustrations, the integrati= on of playful activities, and the sequencing of experiences aimed at langua= ge development. Consequently, these findings formed the methodological and = pedagogical basis for defining the structure, organization, and pedagogical= characteristics of the sensory book developed in this study.<ol= start=3D"4" style=3D"margin:0pt; padding-left:0pt"><li class=3D"ListParagr= aph" style=3D"margin-top:12pt; margin-left:17.3pt; line-height:115%; paddin= g-left:4pt; font-family:'Times New Roman'; font-size:12pt; font-weight:bold= ; color:#767171">Discussion</li></ol>The findings of this study confirm that mult= isensory learning strategies are effective in fostering vocabulary developm= ent and meaningful engagement in early childhood English language education= . Consistent with prior research, the integration of tactile materials, pic= ture-word association, storytelling, and play-based activities promotes act= ive participation and supports language acquisition (Baquerizo et al., 2025= ; Frank et al., 2026; Park et al., 2025). The evidence also highlights that= adult scaffolding and dialogic interaction remain central mechanisms for e= nhancing comprehension and expressive vocabulary, regardless of book format= (Savva et al., 2026; Dicataldo et al., 2022).Moreover, the comparative analysis re= vealed that sensory books provide unique opportunities to stimulate multipl= e sensory channels, thereby increasing motivation and retention (Zhang et a= l., 2020; Shi et al., 2023). This aligns with recent studies emphasizing th= e importance of multimodal environments in advancing early linguistic devel= opment (Laksanasut, 2026). Similarly, teacher experiences confirm that mult= isensory methods such as songs, flashcards, and tactile games are particula= rly effective in supporting vocabulary growth in young learners (Tumbaco &a= mp; Mero, 2026). In addition, play-based learning approaches have been show= n to enhance classroom engagement and vocabulary acquisition in early addit= ional language contexts, reinforcing the pedagogical value of interactive a= nd playful strategies (Yu, 2026).Taken together, these results demonstrate that sen= sory books designed with evidence-based multisensory strategies can serve a= s powerful tools for promoting vocabulary learning in children aged 3-4. Th= e emphasis on active participation, guided interaction, and formative asses= sment through observation ensures that the proposed resource is pedagogical= ly sound and responsive to the developmental needs of early learners.</span= ><ol start=3D"5" style=3D"margin:0pt; padding-left:0pt"><li class=3D"Li= stParagraph" style=3D"margin-top:12pt; margin-left:17.45pt; text-align:just= ify; line-height:115%; padding-left:3.85pt; font-family:'Times New Roman'; = font-size:12pt; font-weight:bold; color:#767171">Conclusions</= li></ol><ul style=3D"margin:0pt; padding-left:0pt"><li class=3D"ListParagra= ph" style=3D"margin-left:35.63pt; margin-bottom:0pt; text-align:justify; li= ne-height:115%; padding-left:3.67pt; font-family:serif; font-size:12pt"><sp= an style=3D"font-family:'Times New Roman'">The literature review identified= the main pedagogical, methodological, and didactic elements that underpin = the design of a sensory book to promote English language learning in childr= en ages 3 to 4, providing a scientific basis for the proposal developed.</s= pan></li><li class=3D"ListParagraph" style=3D"margin-left:35.63pt; margin-b= ottom:0pt; text-align:justify; line-height:115%; padding-left:3.67pt; font-= family:serif; font-size:12pt">The review of the studies showed that the use of multisensory materials an= d active learning strategies promotes children=E2=80=99s participation and = vocabulary development=E2=80=94aspects that were considered in the design o= f the sensory book.</li><li class=3D"ListParagraph" style=3D"margin-= left:35.63pt; margin-bottom:0pt; text-align:justify; line-height:115%; padd= ing-left:3.67pt; font-family:serif; font-size:12pt">The most common teaching strategies, such as image-w= ord association, storytelling, and play-based learning, are effective resou= rces for promoting meaningful experiences in early English acquisition.</sp= an></li><li class=3D"ListParagraph" style=3D"margin-left:35.63pt; margin-bo= ttom:0pt; text-align:justify; line-height:115%; padding-left:3.67pt; font-f= amily:serif; font-size:12pt">= The evidence analyzed confirmed that assessment through observation and int= eraction with the materials is appropriate for evaluating learning in early= childhood education, allowing for the design of instructional resources ta= ilored to this educational stage.</li><li class=3D"ListParagraph" st= yle=3D"margin-left:35.63pt; text-align:justify; line-height:115%; padding-l= eft:3.67pt; font-family:serif; font-size:12pt">The sensory book design represents a pedagogical approach= grounded in scientific evidence, integrating methodological principles and= multisensory resources to support English learning in early childhood and = serve as a reference for future research.</li></ul> <ol start=3D"6" style=3D"margin:0pt; p= adding-left:0pt"><li style=3D"margin-left:17.3pt; text-align:justify; line-= height:115%; padding-left:4pt; font-family:'Times New Roman'; font-size:12p= t; font-weight:bold; color:#767171">Conflict of Interest</li><= /ol><span= style=3D"font-family:'Times New Roman'">The authors declare that there is = no conflict of interest regarding the submitted article.<ol star= t=3D"7" style=3D"margin:0pt; padding-left:0pt"><li style=3D"margin-left:17.= 3pt; text-align:justify; line-height:115%; padding-left:4pt; font-family:'T= imes New Roman'; font-size:12pt; font-weight:bold; color:#767171">Cop= yright</li></ol>The authors are= the holders of the copyright (economic and/or exploitation rights) to the = journal's content.<ol start=3D"8" style=3D"margin:0pt; padding-l= eft:0pt"><li style=3D"margin-left:17.3pt; text-align:justify; line-height:1= 15%; padding-left:4pt; font-family:'Times New Roman'; font-size:12pt; font-= weight:bold; color:#767171">Authors' Contribution Statement</l= i></ol>All authors = contributed significantly to the preparation of the article.Disc= losure of the Delegation to Generative AIThe authors report on the use of generat= ive AI in the research and writing process. According to the GAIDeT taxonom= y (2025), the following tasks were delegated to GAI tools under full human = supervision:- Idea Generation- Formulating Research Questions and Hypotheses- Literature Search and= SynthesisThe GAI tool used was: ChatGPT 4.The authors bear full respo= nsibility for the final manuscript.GAI tools are not listed as authors and assume n= o responsibility for the results.Statement submitted by: Kerly Bel=C3=A9n Chamba Esparza.<o= l start=3D"9" style=3D"margin:0pt; padding-left:0pt"><li style=3D"margin-le= ft:17.3pt; text-align:justify; line-height:115%; padding-left:4pt; font-fam= ily:'Times New Roman'; font-size:12pt; font-weight:bold; color:#767171"><sp= an>Financing Costs</li></ol>Thi= s research was funded entirely by the authors' own funds.<ol sta= rt=3D"10" style=3D"margin:0pt; padding-left:0pt"><li style=3D"margin-left:2= 1.3pt; line-height:115%; font-family:'Times New Roman'; font-size:12pt; fon= t-weight:bold; color:#767171">References</li></ol>Baquerizo Baci= lio, P. M., Imaca=C3=B1a Perero, S. T., Mendoza Anchundia, T. M., Moya Paca= s, D. del C., Pozo Caama=C3=B1o, L. A., & Pe=C3=B1afiel Villarreal, R. = E. (2025). Los cuentos para la comprensi=C3=B3n de est=C3=ADmulo sensorial = en la primera infancia. Revista Multidisciplinar de Estudios Generales<= span style=3D"font-family:'Times New Roman'">, 4(4). <a href=3D"https://doi.org/10.70577/reg.= v4i4.383" style=3D"text-decoration:none">https://doi.org/10.70577/reg= .v4i4.383</a>Dicataldo, R., Rowe, M. L., & Roch, M. (2022). = =E2=80=9CLet=E2=80=99s read together=E2=80=9D: a parent-focused interventio= n on dialogic book reading to improve early language and literacy skills in= preschool children. Children, 9(8), 1149. <a href=3D"https://doi.org/10.3390/children9081149= " style=3D"text-decoration:none">https://doi.org/10.3390/children9081= 149</a>Frank, M., Marchman, V., Bergey, C., Boyce, V., Braginsky, = M., Kachergis, G., Mankewitz, J., Meylan, S., Prystawski, B., Ram, N., Spar= ks, R., Steffan, A., Ming Tan, A.W., & Zettersten, M. (2026). Continuou= s developmental changes in word recognition support language learning acros= s early childhood. eLife,= 2<= /span>, 1-2. <a href= =3D"https://doi.org/10.7554/eLife.109636.2" style=3D"text-decoration:none">= https://doi.org/10.7554/eLife.109636.2</a> &#x= a0; <a href=3D"https://link.springer.com/article/10.1007/s10643-026-= 02251-3" style=3D"text-decoration:none">https://link.springer.com/art= icle/10.1007/s10643-026-02251-3</a> Laksanasut, S. (2026). The power of multimodal envir= onments: advancing early linguistic development in a digital world. = TESOL and = Technology Studies, </= span>7</sp= an>(1), 58=E2=80=9375. </span= ><a href=3D"https://doi.org/10.48185/tts.v7i1.1876" style=3D"text-decoratio= n:none">https://doi.org/10.48185/tts.v7i1.1876</a>Neeman, R.= , & Raviv, H. (2026). Acquisition of multiple-meaning words, including = polysemy and homonymy, in the expressive lexicon of 3-5-year-olds, and the = impact of a gamified intervention program. Journal of child language<sp= an style=3D"font-family:'Times New Roman'">, 1=E2=80=9320. <a href= =3D"https://doi.org/10.1017/S030500092610066X" style=3D"text-decoration:non= e">https://doi.org/10.1017/S030500092610066X</a>Palma Pere= ro, M. A., S=C3=A1nchez Franco, L. M., L=C3=B3pez Vera, Y. E., Pe=C3=B1a V= =C3=A1squez, H. A., & Reyes Mac=C3=ADas, D. I. (2026). Multisensory sti= mulation and development of infant neuroplasticity: scientific contribution= s and pedagogical perspectives in early childhood education. Science and Educa= tion, 7(5.2), 375-376. <a href=3D"https:= //cienciayeducacion.com/index.php/journal/article/view/zenodo.20330293/3820= " style=3D"text-decoration:none">https://cienciayeducacion.com= /index.php/journal/article/view/zenodo.20330293/3820</a>Park, S., = Piasta, S. B., & Sayer, P. M. (2025). An initial yet rigorous test of m= ultisensory alphabet instruction for English monolingual and emergent bilin= gual children. Early Childhood Research Quarterly, 72, 328-338. <a href=3D"https://doi.org/10.1016/j.ecresq.2025.04.00= 8" style=3D"text-decoration:none">https://doi.org/10.1016/j.ecresq.20= 25.04.008</a>Rafiq-uz-Zaman, D. M., & Shih, Y.-H. (2026). A co= mprehensive review of high-impact educational research (2021=E2=80=932025):= trends, insights, and emerging practices. Inverge Journal of Social Sciences<= /span>, 5(2), 58=E2=80=9370. <a href=3D"https:/= /doi.org/10.63544/ijss.v5i2.243" style=3D"text-decoration:none">https= ://doi.org/10.63544/ijss.v5i2.243</a>= Regina, F., & Alvita Kurn= iawati, L. (2025). Enhancing early childhood education: an English busy boo= k for second-year kindergarten students. Pengabdian Masyarakat, 21(1), 260-272. <a href=3D"https://www.researchgate.ne= t/publication/396122304_Enhancing_early_childhood_education_An_English_busy= _book_for_second-year_kindergarten_students" style=3D"text-decoration:none"= >https://www.researchgate.net/publication/396122304_Enhancing_= early_childhood_education_An_English_busy_book_for_second-year_kindergarten= _students</a>Rodrigues, L. (2026). Research in education: methodol= ogical foundations, data collection strategies and categorization process i= n qualitative analysis. Regeo, 17(7), 1-29. </span= ><a href=3D"https://doi.org/10.56238/revgeov17n7-036" style=3D"text-decorat= ion:none">https://doi.org/10.56238/revgeov17n7-036</a><= /p>Savva, M., Beckmann, N., & Higgins, S. (2026, May). Teaching style and= storybook format: effects on vocabulary development and story comprehensio= n in young EAL learners. Early Childhood Education Journal.<= span style=3D"font-family:'Times New Roman'">Schreyer, P., & Blikstad-B= alas, M. (2025). A qualitative=E2=80=93reconstructive investigation of teac= hing quality through documentary video analysis. School Effectiveness and Scho= ol Improvement: An International Journal of Research, Policy and Practice</= span>, 36(3), 448=E2=80=93465. <a href=3D"https= ://doi.org/10.1080/09243453.2025.2527739" style=3D"text-decoration:none"><s= pan style=3D"font-family:'Times New Roman'; text-decoration:underline; colo= r:#000000">https://doi.org/10.1080/09243453.2025.2527739</a>Shi Qi= an, T., Lin, L. Y., & Pormalu, K. (2023, December). The use of sensory = textile books to encourage creativity among preschool children: a case stud= y. = IJMOE, 5(19), 47-66. <a href=3D"https://= www.researchgate.net/publication/377609624_THE_USE_OF_SENSORY_TEXTILE_BOOKS= _TO_ENCOURAGE_CREATIVITY_AMONG_PRESCHOOL_CHILDREN_A_CASE_STUDY" style=3D"te= xt-decoration:none">https://www.researchgate.net/publication/3= 77609624_THE_USE_OF_SENSORY_TEXTILE_BOOKS_TO_ENCOURAGE_CREATIVITY_AMONG_PRE= SCHOOL_CHILDREN_A_CASE_STUDY</a><span= style=3D"font-family:'Times New Roman'">Tumbaco Tavarez, B. N., & Mero= Caiche, A. D. (2026). Teachers=E2=80=99 experiences using multisensory method= s to develop vocabulary in young learners [Bachelor=E2=80=99s Thesis, Universidad Estatal Pen=C3= =ADnsula de Santa Elena, La Libertad, Ecuador]. <a href=3D"https://r= epositorio.upse.edu.ec/server/api/core/bitstreams/49181c92-5bc3-4b75-ae4b-0= 21677857f59/content" style=3D"text-decoration:none">https://repositor= io.upse.edu.ec/server/api/core/bitstreams/49181c92-5bc3-4b75-ae4b-021677857= f59/content</a>Yu, K. (2026). Exploring the impact of play-based l= earning on classroom engagement and vocabulary development in early additio= nal language learning. IOE Psychology & Human Development Department</span= >, 1-11. <a href=3D"ht= tps://lnep.ewapub.com/article/view/33846.pdf" style=3D"text-decoration:none= ">https://lnep.ewapub.com/article/view/33846.pdf</a>Zhang, M= ., Hou, G., Cheng Chen, Y., Zhang, T., & Yang, J. (2020, October). A bo= ok interaction scheme to enhance children=E2=80=99s reading experiences and= preferences. Frontiers in Psychology, 11, 1-9. </= span><a href=3D"https://pmc.ncbi.nlm.nih.gov/articles/PMC7591389/pdf/fpsyg-= 11-02155.pdf" style=3D"text-decoration:none">https://pmc.ncbi.= nlm.nih.gov/articles/PMC7591389/pdf/fpsyg-11-02155.pdf</a> <a id=3D"_heading_h.gj7ey7lmjgg= n"></a> <img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABA= QEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABVAKIDASIAAhEBAxEB/8QAHw= AAAgICAgMBAAAAAAAAAAAAAAoICQYHAgQBBQsD/8QAUhAAAAYBAwICBAcLCAQPAAAAAQIDBAUGB= wAIEQkSEyEKFDFRFRYiQXF3thcZNzg5QnKBobHBGCMoYXaRtfAmVnPRJTI1SFdYdHiGl6bV1tfx= /8QAHQEAAQMFAQAAAAAAAAAAAAAAAAIDBgEEBQcICf/EAD4RAAIBAgUBBAQLBgcAAAAAAAECAwQ= RAAUSITETBgdBUSJhcZEIFDI2N3aBobG00RVSdbLE8BYjJkJTZvH/2gAMAwEAAhEDEQA/AH6Wcp= HSKBHMe9aPmypQOmuzcoOUVCD7DkVRUOQxR+YxTCA/MOv2cmAWywlHgwJnEOBADAYCiIfPyAgPu= 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vertical-align:top"></td></tr><tr><td style=3D"width:3.25= pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"4" style=3D"w= idth:370.7pt; padding:0pt 5.4pt; vertical-align:top">Universidad T=C3=A9cnica de Cotopaxi (U= TC), Latacunga, Ecuador.Master=E2=80=99s degree in teaching English Foreign Langu= age.<img src=3D= "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNC= SVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNz= bJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhb= a0URPzsPQmuY9zzj1nLwcnuU1iQ0f+mzXZe///Wv/aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjm= ZCGjCVhcPHR3q8XrsaVNUITu/KSlu7LFeSpNNZ+57RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU= /Hy8/0W/aA/Xq43r1P3nOCNIFsW2XLleTd648Z/863v3nkjWCL59dp/fWSsfzOXNkShKacvfgnM= RlXjqqqIrwr5vkihyhxbT+K2ne082AAzADZXyPj+wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvd= daJfdwM9HwqYFSa0GO1SrpfucUVUXEZCQcqQtZ0VEU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0e= 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style=3D"width:3.25pt; padding:0pt 5.4pt; vertica= l-align:top">2</td><td s= tyle=3D"width:171.95pt; padding:0pt 5.4pt; vertical-align:top">Gina Silvana Venegas Alvarez</td><td style=3D"width:10= .5pt; padding:0pt 5.4pt; vertical-align:top"> </td><td style=3D"width:166.35p= t; padding:0pt 5.4pt; vertical-align:top">https://orcid.org/0000-0003-3263-6225 </td><td style=3D"pad= ding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:3.25pt; padd= ing:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"4" style=3D"width:370= .7pt; padding:0pt 5.4pt; vertical-align:top">Universidad T=C3=A9cnica de Cotopaxi (UTC), Lat= acunga, Ecuador.<a href=3D"mailto:Gina.venegas@utc.edu.ec" style=3D"= text-decoration:none">Gina.venegas@utc.edu.ec<= /span></a> </= span></td></tr><tr style=3D"height:0pt"><td style=3D"width:14.05pt"></t= d><td style=3D"width:182.75pt"></td><td style=3D"width:21.3pt"></td><td sty= le=3D"width:177.15pt"></td><td style=3D"width:0.3pt"></td></tr></table> = = ; <table style=3D"width:443.= 55pt; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td col= span=3D"7" style=3D"width:136pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"2" = style=3D"width:285.95pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Art=C3=ADculo de Inv= estigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gicaEnviado: 16/06/2026Revisado: 15/07/2026</span= >Aceptado: 01/08/= 2026 Publi= cado: 19/08/2026DOI: <a href=3D"https://doi.org/10.33262/exploradordigital.v10= i3.3735" style=3D"text-decoration:none">https://doi.org/10.33262/exploradordigital.v10i3.3735</a><sp= an style=3D"line-height:115%; font-family:'Times New Roman'; font-size:10pt= "> = </td></tr><tr><td colspan=3D"7" style=3D"width= :136pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"2" style=3D= "width:285.95pt; border-top:0.75pt solid #000000; border-bottom:0.75pt soli= d #000000; padding:0pt 5.4pt; vertical-align:top"> </td></tr= ><tr><td style=3D"width:53.2pt; border-top:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top"> = C=C3=ADtese:<sp= an style=3D"font-family:'Times New Roman'"> </td><td style=3D"wi= dth:4.55pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top"> </td><td = colspan=3D"6" style=3D"width:349.65pt; border-top:0.75pt solid #000000; pad= ding:0pt 5.4pt; vertical-align:top">&= #xa0;Chamba Esparza , K. B., & Venegas= Alvarez, G. S. (2026). Un libro sensorial para el aprendizaje del ingl=C3= =A9s como lengua extranjera en ni=C3=B1os de entre 3 y 4 a=C3=B1os. Explora= dor Digital, 10(3), 215-228. <a href=3D"https://doi.org/10.33262/exp= loradordigital.v10i3.3735" style=3D"text-decoration:none">https://doi.org/10.33262/e= xploradordigital.v10i3.3735</a> </td><td style=3D"border-top:0.75pt solid #000000; pa= dding:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:53.2pt; pad= ding:0pt 5.4pt; vertical-align:top"><img src=3D"data:image/png;ba= se64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAZCAYAAAB3oa15AAAABHNCSVQICAgIfAhkiAAAAA= lwSFlzAAAOxAAADsQBlSsOGwAAB7RJREFUWIXtV2lsVNcV/s69783iWbyMPV4gBoMNAVeNaByou= kQ0FU2CRBW1wjRqUzWliqWoaaukkVopbQelVOJHQVW64EhpSwlVSojS1gLhkoo0gtIgWxE0UCAY= 8L4wi+0Zz/KWe/pjZszMeGzMr/7pke483XPP9p13zn1nCHehrx042Th4e/b8bIZXgnJMzj2pQJA= L9rlzKcls9uMVcmr7kkl+ezqFTykASimAASaAmaE4p8BZA263zlLKqx7K9GfS9i/IJf6zFZeToV= BIlcan3Q1ANGE8OJVEo810N9EF5AQSbetWHD73wXhLOGW2WZAlqHFnz3c4ybhJgHk/gPsF6EsrN= PWXC+6Ovd3dfVe7ujrMQm2xVADP/uq0dyZl7LPAkghY7gKyzzo3zo4MRUfA/KwNWUMACFxmlegX= 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se publicar=C3=A1 en soporte = electr=C3=B3nico tiene como misi=C3=B3n contribuir a la formaci=C3=B3n de profes= ionales competentes con visi=C3=B3n human=C3=ADstica y cr=C3=ADtica que sea= n capaces de exponer sus resultados investigativos y cient=C3=ADficos en la= misma medida que se promueva mediante su intervenci=C3=B3n cambios positiv= os en la sociedad. <a href=3D"https://exploradordigital.org" style=3D"= text-decoration:none">https://exploradordigital= .org</a> La revista es editada por la Editorial Ciencia Digital (Ed= itorial de prestigio registrada en la C=C3=A1mara Ecuatoriana de Libro con = No de Afiliaci=C3=B3n 663) <a href=3D"http://www.celibro.org.ec" sty= le=3D"text-decoration:none">www.celibro.org.ec<= /span></a> = 0;</div> </td><td style=3D"padding:0pt; vertical-= align:top"></td></tr><tr style=3D"height:23.65pt"><td style=3D"width:53.2pt= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= "><sp= an style=3D"height:0pt; text-align:left; 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dWKXAAAAAElFTkSuQmCC" width=3D"77" height=3D"28" alt=3D"" style=3D"margin-t= op:0.15pt; margin-left:0pt; position:absolute" /> </td><td styl= e=3D"width:4.55pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:top"> </td><td colspan=3D"6" style=3D"width:349.65pt; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Esta revista est=C3=A1 pro= tegida bajo una licencia Creative Commons en la 4.0 International. Copia de= la licencia: <a href=3D"http://creativecommons.org/licenses/by-nc-s= a/4.0/" style=3D"text-decoration:none">http://c= reativecommons.org/licenses/by-nc-sa/4.0/</a> </td><td style=3D"padding:0pt; vertical-align:top"></td></= tr><tr><td colspan=3D"4" style=3D"width:87.5pt; border-top:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top">Palabras claves: Libro sen= sorial, &#x= a0; educaci=C3=B3n inicial,an=C3=A1lisis documental,vocabulario,aprendizaje,= multisensorial.</td><td colspan=3D"2" style=3D"width:0.7pt; border= -top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"> </td><td col= span=3D"2" style=3D"width:319.2pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Resumen Introducci=C3=B3n: el desarrollo de las habilidades del idioma ingl=C3=A9s durante la prime= ra infancia requiere recursos educativos que promuevan experiencias de apre= ndizaje activas, significativas y multisensoriales. Objetivo: dise=C3=B1ar un libro sensorial destinado al aprendizaje d= e vocabulario en ingl=C3=A9s para ni=C3=B1os de entre 3 y 4 a=C3=B1os, medi= ante la integraci=C3=B3n de estrategias multisensoriales basadas en experie= ncias previas y en la investigaci=C3=B3n. Metodolog=C3=ADa: se adopt=C3=B3 un enfoque cualitativo con un dise=C3=B1o d= e investigaci=C3=B3n documental. La informaci=C3=B3n fue recopilada mediant= e una lista de cotejo validada, aplicada al an=C3=A1lisis de cinco estudios= cient=C3=ADficos enfocados en el dise=C3=B1o e implementaci=C3=B3n de libr= os sensoriales e interactivos para el desarrollo del lenguaje. <span= style=3D"font-family:'Times New Roman'; font-weight:bold">Resultados:</spa= n> los hallazgos identificaron principios pedag= =C3=B3gicos comunes basados en el aprendizaje activo, el aprendizaje a trav= =C3=A9s del juego y las experiencias multisensoriales. Asimismo, los estudi= os revisados destacaron el uso de materiales t=C3=A1ctiles y manipulativos,= la asociaci=C3=B3n imagen-palabra, la narraci=C3=B3n de historias, las can= ciones y la interacci=C3=B3n guiada como estrategias efectivas para el desa= rrollo del vocabulario. Conclusi=C3=B3n: la revisi=C3=B3n bibliogr=C3=A1fica confirm=C3=B3 que las es= trategias multisensoriales, basadas en el juego e interactivas favorecen el= desarrollo del vocabulario y el aprendizaje significativo del ingl=C3=A9s = en la primera infancia. Estos resultados proporcionaron una base cient=C3= =ADfica para el dise=C3=B1o del libro sensorial y el uso de la evaluaci=C3= =B3n basada en la observaci=C3=B3n. =C3=81rea de estudio general: Educaci=C3=B3n. =C3=81rea de estudio e= spec=C3=ADfica: Aprend= izaje del idioma ingl=C3=A9s como lengua extranjera en educaci=C3=B3n inici= al. Tipo de estudio: Revisi=C3=B3n bibliogr=C3=A1fica. </td><td style= =3D"padding:0pt; vertical-align:top"></td></tr><tr><td colspan=3D"3" style= =3D"width:85.25pt; padding:0pt 5.4pt; vertical-align:top">Keywords: Sensory= book,early childhood, education= <sp= an style=3D"font-family:'Times New Roman'">literature, review,<p= class=3D"Title" style=3D"text-align:left; line-height:115%; font-size:12pt= ">vocabulary,multisensory, learning.</td><td = colspan=3D"2" style=3D"width:0.85pt; padding:0pt 5.4pt; vertical-align:top"= > </t= d><td colspan=3D"3" style=3D"width:321.3pt; border-top:0.75pt solid #000000= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= ">AbstractIntroduction: the development of English language skills during early childhood re= quires educational resources that promote active, meaningful, and multisens= ory learning experiences. Objective: design a sensory book aimed at teaching English vocabulary to ch= ildren ages 3 to 4 by integrating multisensory strategies based on prior ex= periences and research. Methodology: a qualitative approach was adopted using a literature review res= earch design. Information was collected using a validated checklist applied= to the analysis of five scientific studies focused on the design and imple= mentation of sensory and interactive books for language development. </span= >Results:</= span> the findings identified= common pedagogical principles based on active learning, learning through p= lay, and multisensory experiences. Furthermore, the studies reviewed highli= ghted the use of tactile and firsthand materials, picture-word associations= , storytelling, songs, and guided interaction as effective strategies for v= ocabulary development. Conclusion: the literature review confirmed that multisensory, play-based, and= interactive strategies promote vocabulary development and meaningful learn= ing of English in early childhood. These findings provided a scientific bas= is for the design of the sensory book and the use of observation-based asse= ssment. General Area of Study: Education. Specific area of study: Learning English as a Foreign Language in Early Childhood Edu= cation. Type of study: Systematic bibliographic review. </td><td style=3D"padding:0pt= ; vertical-align:top"></td></tr><tr style=3D"height:0pt"><td style=3D"width= :64pt"></td><td style=3D"width:15.35pt"></td><td style=3D"width:16.7pt"></t= d><td style=3D"width:2.25pt"></td><td style=3D"width:9.4pt"></td><td style= =3D"width:2.1pt"></td><td style=3D"width:37pt"></td><td style=3D"width:293p= t"></td><td style=3D"width:3.75pt"></td></tr></table> = <ol style=3D"margin:0pt; padding-left:0pt"><l= i style=3D"margin-top:12pt; margin-left:17.3pt; line-height:115%; padding-l= eft:4pt; font-family:'Times New Roman'; font-size:12pt; font-weight:bold; c= olor:#767171">Introduction</li></ol>Childhood is a critical stage in human develo= pment. Early educational experiences shape neuroplasticity and strengthen e= xecutive functions such as memory, language, and emotional self-regulation = Palma et al. (2026) therefore the foundations for cognitive, linguistic, se= nsory, and socioemotional growth are laid during these early years.<= /p>In this context,= multisensory learning has gained increasing importance in the field of edu= cation. Park et al. (2025) demonstrated that multisensory instruction impro= ves early literacy and motivation in preschoolers, highlighting the value o= f integrating multiple sensory channels into the learning process. Similarl= y, Frank et al. (2025) emphasize that continuous changes in word recognitio= n support vocabulary growth during early childhood, underscoring the import= ance of incorporating diverse stimuli in early educational settings. This i= s why multisensory learning is recognized as an effective approach to enhan= cing vocabulary acquisition within a language.However, despite growing evidence sup= porting the effectiveness of multisensory learning in vocabulary acquisitio= n, its implementation in educational contexts particularly in the teaching = of English as a foreign language (EFL) in early childhood education remains limited. Neeman = & Raviv (2026) note that, although gamified and multisensory strategies= lead to significant improvements in vocabulary acquisition, their applicat= ion in school settings still requires greater systematization to achieve a = sustained pedagogical impact. This gap between theory and practice highligh= ts the need to develop innovative teaching resources capable of operational= izing multisensory principles in the early teaching of English vocabulary.<= /span>In respon= se to this challenge, the present study I crated with the objective to desi= gn a sensory book aimed at learning English vocabulary in children aged 3 t= o 4, through the integration of multisensory strategies based on previous e= xperiences and research. Considering that sensory books have recently been = recognized as valuable resources that foster active participation and meani= ngful learning experiences in early childhood (Baquerizo et al., 2025). Thi= s is a fundamental part of the project. For this reason, the study search, = to identify multisensory strategies and resources used in previous research= to strengthen English language learning in young children, to design senso= ry activities and materials adapted to the characteristics and needs of 3 t= o 4 years old children for learning English vocabulary, and to develop a se= nsory book that integrates visual, tactile, and didactic stimuli to enhance= the teaching and learning process of English vocabulary.<ol sta= rt=3D"2" style=3D"margin:0pt; padding-left:0pt"><li class=3D"ListParagraph"= style=3D"margin-top:12pt; margin-left:17.3pt; line-height:115%; padding-le= ft:4pt; font-family:'Times New Roman'; font-size:12pt; font-weight:bold; co= lor:#767171">Methodology </li></ol>This research is applied in nature, as it seek= s to develop a practical pedagogical proposal: a sensory book. Applied educ= ational research is characterized by its focus on solving specific problems= and producing innovative resources that enhance teaching practice (Rafiq-u= z-Zaman & Shih, 2026). Furthermore, the study adopts a qualitative appr= oach, based on the work of Schreyer & Balas (2025), who emphasize that = qualitative designs are particularly appropriate for exploring educational = practices and interpreting contextualized information without manipulating = variables.The research has a descriptive scope and employs a non-experimental docum= entary design, as it focuses on the analysis of five previous studies selec= ted according to the criterion of thematic relevance. Documentary research = designs are considered appropriate when the objective is to systematically = organize and interpret academic sources, generating new knowledge without e= xperimental manipulation (Schreyer & Blikstad-Balas, 2025). Therefore, = this design is considered feasible, as the study aims to produce a bibliogr= aphic synthesis.For data analysis, the study adopts a qualitative approach, which, = according to Rodrigues (2026) is particularly relevant in the field of educ= ation because it enables an in-depth interpretation of the data and the ide= ntification of meaningful categories within the contexts under study, there= by strengthening the validity of the research process. Consequently, this a= pproach allows the information to be organized systematically and facilitat= es the identification of relevant patterns across the reviewed studies.</sp= an>A documentar= y analysis checklist, validated by experts, is used as a research instrumen= t to ensure methodological rigor. In this regard, Rodrigues (2026) highligh= ts that techniques such as observation, document analysis, and content cate= gorization reinforce the validity and reliability of qualitative research i= n education. Therefore, the selection of this instrument is considered appr= opriate because it enables the examination of aspects related to the struct= ure, sensory elements, materials, activities, and teaching strategies prese= nted in the selected studies. This process will provide the essential infor= mation required for the development of the sensory book by ensuring that th= e most relevant elements identified in literature are incorporated into its= design.<ol start=3D"3" style=3D"margin:0pt; padding-left:0pt"><= li class=3D"ListParagraph" style=3D"margin-top:12pt; margin-left:17.3pt; te= xt-align:justify; line-height:115%; padding-left:4pt; font-family:'Times Ne= w Roman'; font-size:12pt; font-weight:bold; color:#767171">Results </= span></li></ol>A li= terature review was conducted of five studies, the first study is =E2=80=9C= Enhancing early childhood education: an English busy book for second-year k= indergarten students=E2=80=9D (Regina & Alvita, 2025). The second study= is =E2=80=9CThe use of sensory textile books to encourage creativity among= preschool children: a case study=E2=80=9D (Shi et al., 2023). The third st= udy is =E2=80=9CA book interaction scheme to enhance children's reading exp= eriences and preferences=E2=80=9D (Zhang et al., 2020). The fourth study is= =E2=80=9CTeaching style and storybook format: effects on vocabulary develo= pment and story comprehension in young EAL learners=E2=80=9D (Savva et al.,= 2026). The last one is =E2=80=9CLet=E2=80=99s read together=E2=80=9D: a pa= rent-focused intervention on dialogic book reading to improve early languag= e and literacy skills in preschool children=E2=80=9D (Dicataldo et al., 202= 2).The analysis was conduct= ed using a checklist structured into six categories: pedagogical approach, = teaching materials, vocabulary teaching strategies, child participation, le= arning assessment, and contributions to the design of sensory books. These = findings made it possible to identify the pedagogical, didactic, and method= ological characteristics, which are presented in <a href=3D"#tabla1"= style=3D"text-decoration:none">Table 1</a>.= <a id=3D"tabla1">Table 1 </a>Comparative analysis of the selected studies according to the documenta= ry analysis categories<table style=3D"width:100%; margin-bottom:= 0pt; padding:0pt; border-collapse:collapse"><tr style=3D"height:88.1pt"><td= colspan=3D"2" style=3D"border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:5pt; vertical-align:top">ARTICLES </td><td style=3D"width= :13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:5pt; vertical-align:top">Enhancing early childhood education: an English busy book = for second-year kindergarten students.</td><td style=3D"width:15= .24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:5pt; vertical-align:top">The use= of sensory textile books to encourage creativity among preschool children:= a case study.</td><td style=3D"width:13.66%; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-al= ign:top">A book inter= action scheme to enhance children's reading experiences and preferences</sp= an></td><td style=3D"width:15.54%; border-top:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">= Teaching style and storybook = format: effects on vocabulary development and story comprehension in young = EAL learners.</td><td style=3D"width:15.3%; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-alig= n:top">Let=E2=80=99s = read together=E2=80=9D: a parent-focused intervention on dialogic book read= ing to improve early language and literacy skills in preschool children.</s= pan></td></tr><tr style=3D"height:22pt"><td style=3D"width:13.62%; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5p= t; vertical-align:top">CATEGORIES</td><td style=3D"width:12.76%; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-al= ign:top">General In= formation </td><td style=3D"width:13.88%; border-top:0.75pt soli= d #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:= top">Authors: Regina = & Alvita(2025) Objective:= To develop a = bilingual English busy book to </td><td style=3D"width:15.24%; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :5pt; vertical-align:top">Authors: Shi et al. (2023) &#= xa0; Country:Malaysia. Objective:To identify how sensory books </td>= <td style=3D"width:13.66%; border-top:0.75pt solid #000000; border-bottom:0= .75pt solid #000000; padding:5pt; vertical-align:top">Authors:<= p style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font= -size:9pt">Zhang et al. (2020= ) Co= untry:= China Objective: To examin= e how book interaction </td><td style=3D"width:15.54%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; ve= rtical-align:top">Authors:Savva et al. (2026) Country:Cyprus. Objective:<span= style=3D"font-family:'Times New Roman'">Comparing print books vs. <= /p></td><td style=3D"width:15.3%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><s= pan style=3D"font-family:'Times New Roman'; font-weight:bold">Authors:</spa= n>Dicataldo e= t al. (2022) Country:Italy Objective: Evaluate a parent-focused dialogic </td></tr></table>Table 1 Comparative analysis of the s= elected studies according to the documentary analysis categories (continuat= ion)<table style=3D"width:100%; margin-bottom:0pt; padding:0pt; = border-collapse:collapse"><tr style=3D"height:22pt"><td rowspan=3D"3" style= =3D"width:13.64%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:5pt; vertical-align:top"> </td><td style=3D"width:12.76%; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:5pt; vertical-align:top"> </td><td style=3D"width:13.88%; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-al= ign:top">support = vocabulary development and English language learning. Participants:<= p style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font= -size:9pt">14=E2=80=9315 kind= ergarten students aged 5=E2=80=936 years.Design:Community service lea= rning project using the ADDIE model.</td><td style=3D"width:15.2= 4%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pa= dding:5pt; vertical-align:top">influence preschool children and develop a sensory book that = promotes a traditional, firsthand learning approach. Participants:<p= style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font-= size:9pt">Three early childho= od education experts: two Montessori teachers and one teacher with experien= ce in kindergarten and primary education. Design: Experimental, two factors (interaction and gender).= </td><td style=3D"width:13.66%; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">affects children=E2=80= =99s reading preferences and experiences. Participants: = 0; 40 children aged 5=E2=80=936 Design: Experimental</td><td sty= le=3D"width:15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:5pt; vertical-align:top">e-books and teaching styles (interactive vs. pe= rformance) in vocabulary and story comprehension among EAL children. </span= >Participan= ts:60 ch= ildren aged 3=E2=80=937. Design:2x2 experimental study.</td><td st= yle=3D"width:15.3%; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:5pt; vertical-align:top">reading intervention to improve preschoolers= =E2=80=99 language and literacy. Participants:40 children (ages 4=E2=80=936= ) and their parents, divided into treatment, information, and control group= s.</td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:5pt; vertical-align:top">Pedagogical Approach </td><td style=3D"width:13.88%; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 5pt; vertical-align:top">Active, play-based, and firsthand learning supported by the ADDIE i= nstructional design model. The book was designed according to the school cu= rriculum and students=E2=80=99 learning needs.</td><td style=3D"= width:15.24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #= 000000; padding:5pt; vertical-align:top">Montessori-inspired, constructivist, child-centered= , and firsthand learning. The approach promotes independent exploration, se= nsory experiences, play, creativity, and learning through the manipulation = of physical materials. </td><td style=3D"width:13.66%; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; ve= rtical-align:top"> Child-centered,= experiential, and multisensory learning.</td><td style=3D"width= :15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:5pt; vertical-align:top">Grounded in adult scaffolding and shared reading styles.= Based on Cognitive Load Theory (CLT). Compared dialogic interactive readin= g with performance-based expressive storytelling.</td><td style= =3D"width:15.3%; border-top:0.75pt solid #000000; border-bottom:0.75pt soli= d #000000; padding:5pt; vertical-align:top">Based on dialogic book reading principles (PEER = & CROWD strategies). Parents are trained to actively engage children, p= rovide feedback, and adapt reading style to children=E2=80=99s abilities.</= span></td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%; bor= der-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5= pt; vertical-align:top">Didactic Materials </td><td style=3D"width:13.88%; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; v= ertical-align:top">A bilingual English Indonesian busy book containing interactive activitie= s related to </td><td style=3D"width:15.24%; border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-ali= gn:top">Sensory t= extile books are made with fabric, different textures, bright colors, and s= imple interactive </td><td style=3D"width:13.66%; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertica= l-align:top">Inte= ractive books with flip, draw, pop-up, folding, tactile, and olfactory feat= ures.</td><td style=3D"width:15.54%; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">= Two stories: The = Kissing Hand and Elmer and Rose, available in both print and e-book formats= . E-</td><td style=3D"width:15.3%; border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><p= style=3D"margin-bottom:0pt; line-height:normal; widows:0; orphans:0; font-= size:9pt"> Storybooks with 20 target vocabular= y words. Parents received books and weekly assignments. Intervention </span= ></td></tr></table>Table 1 Comparative analysis of the selected studies according to the documentary= analysis categories (continuation)<table style=3D"width:100%; m= argin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr style=3D"heigh= t:22pt"><td rowspan=3D"3" style=3D"width:13.62%; border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"= > <= /td><td style=3D"width:12.76%; border-top:0.75pt solid #000000; border-bott= om:0.75pt solid #000000; padding:5pt; vertical-align:top"> </td><td style=3D"w= idth:13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0= 00000; padding:5pt; vertical-align:top">eight curriculum-based topics. The activities includ= ed matching, pasting, classifying, drawing, coloring, and writing.</= p></td><td style=3D"width:15.24%; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><s= pan style=3D"font-family:'Times New Roman'">mechanisms. The proposed featur= es included Velcro, buttons, zippers, shoelaces, puzzles, matching activiti= es, and shape-recognition tasks.</td><td style=3D"width:13.66%; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:5pt; vertical-align:top"> </td><td style=3D"width:15.54%; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-= align:top">books = were =E2=80=9Cideal=E2=80=9D designs: audio narration, synchronized text hi= ghlighting, vocabulary-support hotspots, limited interactivity, teacher-mon= itored use.</td><td style=3D"width:15.3%; border-top:0.75pt soli= d #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:= top">included fou= r modules over six weeks, with video modeling and strategy training.= </td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; v= ertical-align:top">= Vocabulary Teaching Strategies </td><td style=3D"width:13.88%; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :5pt; vertical-align:top">Picture-word association, thematic vocabulary learning, bilingual = vocabulary presentation, matching activities, classification tasks, guided = questions, repetition, and firsthand practice. </td><td style=3D= "width:15.24%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid = #000000; padding:5pt; vertical-align:top">The study did not evaluate a specific vocabulary-t= eaching strategy. However, the experts indicated that sensory books could i= nclude familiar topics and concepts such as animals, alphabets, numbers, co= lors, and shapes. Multisensory interaction through touch, sight, and sound = could support learning and engagement.</td><td style=3D"width:13= .66%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:5pt; vertical-align:top">Not directly addressed.</td><td style=3D"width:1= 5.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000;= padding:5pt; vertical-align:top">Interactive style enhanced expressive vocabulary and impli= cit comprehension. Performance style supported explicit comprehension. No d= ifferences found in receptive vocabulary or standardized scores. Adult medi= ation was more influential than book format.</td><td style=3D"wi= dth:15.3%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:5pt; vertical-align:top">Focused on active participation, vocabulary growth, in= ferential skills, and comprehension. Treatment groups showed stronger gains= in oral language and literacy compared to information and control groups.<= /span></td></tr><tr style=3D"height:22pt"><td style=3D"width:12.76%; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 5pt; vertical-align:top">Children=E2=80=99s Participation </td><td style=3D"width:1= 3.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000;= padding:5pt; vertical-align:top">Children actively participated by manipulating materials, = matching pictures, classifying objects, pasting images, drawing, and </span= ></td><td style=3D"width:15.24%; border-top:0.75pt solid #000000; borde= r-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">Children were encouraged to = actively explore, touch, manipulate, open and close mechanisms, solve simpl= e problems, and interact independently with the materials. </td>= <td style=3D"width:13.66%; border-top:0.75pt solid #000000; border-bottom:0= .75pt solid #000000; padding:5pt; vertical-align:top">Children actively explored books and e= xpressed their emotions and preferences.</td><td style=3D"width:= 15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000= ; padding:5pt; vertical-align:top">Children engaged in four shared reading sessions, explori= ng both print and digital books. They interacted with e-book features under= teacher supervision.</td><td style=3D"width:15.3%; border-top:0= .75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; verti= cal-align:top">Ch= ildren engaged in shared reading at home with parents using dialogic strate= gies. Active involvement increased attention, vocabulary use, and inferenti= al </td></tr></table>Table 1 Comparative analysis of the selected studies according to the do= cumentary analysis categories (continuation)<table style=3D"widt= h:100%; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr style= =3D"height:22pt"><td rowspan=3D"3" style=3D"width:13.62%; border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-a= lign:top"> </s= pan></td><td style=3D"width:12.76%; border-top:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"> </td><td s= tyle=3D"width:13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt= solid #000000; padding:5pt; vertical-align:top">completing activities. The busy book could = be used both at school and at home with parental support.</td><t= d style=3D"width:15.24%; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:5pt; vertical-align:top">Bright colors, attractive topics, varied= textures, and simple mechanics increased attention and engagement.<= /p></td><td style=3D"width:13.66%; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:5pt; vertical-align:top"><= span style=3D"font-family:'Times New Roman'"> </td><td styl= e=3D"width:15.54%; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:5pt; vertical-align:top"> </td><td style=3D"width:15.3%= ; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padd= ing:5pt; vertical-align:top">comprehension.</td></tr><tr style=3D"height:22pt"><t= d style=3D"width:12.76%; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:5pt; vertical-align:top">Assessment </td><td style=3D"= width:13.88%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #= 000000; padding:5pt; vertical-align:top">Teacher feedback, an assessment sheet, expert valid= ation, classroom observation, and children=E2=80=99s participation during s= elected activities. Experts also recommended brief self-assessment sections= for each topic. </td><td style=3D"width:15.24%; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical= -align:top">Data = was collected through semi-structured, open-ended interviews with three experts= . The study did not us= e a direct assessment instrument with children; findings were based mainly = on expert perspectives and qualitative analysis.</td><td style= =3D"width:13.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt sol= id #000000; padding:5pt; vertical-align:top">Reading time, behavioral observation, emotion c= ards, and five-star ratings.</td><td style=3D"width:15.54%; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5p= t; vertical-align:top">Measures: receptive and expressive vocabulary, implicit and explicit = comprehension, standardized PLS-5 UK test. Analyses controlled age and base= line language ability.</td><td style=3D"width:15.3%; border-top:= 0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:5pt; vert= ical-align:top">P= re- and post-tests included vocabulary probes, inference tasks, standardize= d measures (PPVT-R, PVCL, TOR 3=E2=80=938, NEPSY-II), and observational too= ls for parent-child interaction.</td></tr><tr style=3D"height:15= .3pt"><td style=3D"width:12.76%; border-top:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:5pt; vertical-align:top"><span= style=3D"font-family:'Times New Roman'">Contribution to Sensory Book Desig= n </td><td style=3D"width:13.88%; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align:top">The study provides a= structured model for designing a curriculum-aligned bilingual busy book. I= t highlights the importance of interactive activities, thematic vocabulary,= firsthand learning, teacher guidance, and family involvement.</= td><td style=3D"width:15.24%; border-top:0.75pt solid #000000; border-botto= m:0.75pt solid #000000; padding:5pt; vertical-align:top">The study supports the inclusion of= varied textures, bright colors, simple mechanisms, and firsthand activitie= s to promote exploration, creativity, imagination, engagement, and fine mot= or development. It also highlights the importance of designing materials th= at children can manipulate independently.</td><td style=3D"width= :13.66%; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00000= 0; padding:5pt; vertical-align:top">Supports the use of sensory and interactive elements to = increase children=E2=80=99s interest, participation, and positive reading e= xperiences.</td><td style=3D"width:15.54%; border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:5pt; vertical-align= :top">Highlights = that pedagogical quality and adult mediation matter more than book medium. Well-designed e-books with= restrained, content-aligned interactivity can support vocabulary and compr= ehension, but require scaffolding.</td><td style=3D"width:15.3%;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:5pt; vertical-align:top">Demonstrates that parent-focused dialogic reading can significan= tly improve preschoolers=E2=80=99 language, comprehension, and literacy ski= lls. Highlights importance of parental scaffolding and interactive reading = behaviors.</td></tr></table> The analysis revealed a consistent tre= nd toward the implementation of pedagogical approaches centered on children= =E2=80=99s active participation, in which learning is constructed through i= nteraction with materials designed to encourage exploration and language de= velopment. Although the studies employed different methodological framework= s, they all agreed on viewing educational resources to promote meaningful l= earning experiences through firsthand activities, play, and exploration. Re= garding the materials, there was a clear preference for interactive resourc= es, such as fabric books, busy books, illustrations, movable parts, and tac= tile elements, which helped stimulate different sensory channels during the= learning process. These findings made it possible to establish the pedagog= ical principles and criteria for selecting the materials considered in the = design of the proposed sensory book.Regarding teaching strategies, the analysis rev= ealed a predominance of activities aimed at strengthening vocabulary develo= pment through contextualized and highly participatory experiences. Among th= e most frequently used strategies were the association of images with words= , storytelling, matching games, guided repetition, the use of songs, guidin= g questions, and firsthand manipulation of objects, all of which fostered t= he progressive development of language through constant interaction with te= aching materials. At the same time, children=E2=80=99s participation was ch= aracterized by an active role throughout the learning process, promoting in= dependent exploration, play-based learning, and ongoing interaction with te= achers or family members. Taking together, these results helped identify th= e methodological strategies that foster meaningful child participation and = were used as guidelines for designing the activities included in the sensor= y book.F= inally, the literature review identified common elements related to the ass= essment of learning and the structural characteristics of the educational r= esources developed. These include assessment procedures based on direct obs= ervation, checklists, performance records, and expert validation processes,= prioritizing the evaluation of the level of participation, interaction wit= h the materials, and progress made during the activities. Likewise, a compa= rison of the studies reveals shared criteria for the design of multisensory= resources, including the progressive organization of activities, the incor= poration of manipulatives, the use of engaging illustrations, the integrati= on of playful activities, and the sequencing of experiences aimed at langua= ge development. Consequently, these findings formed the methodological and = pedagogical basis for defining the structure, organization, and pedagogical= characteristics of the sensory book developed in this study.<ol= start=3D"4" style=3D"margin:0pt; padding-left:0pt"><li class=3D"ListParagr= aph" style=3D"margin-top:12pt; margin-left:17.3pt; line-height:115%; paddin= g-left:4pt; font-family:'Times New Roman'; font-size:12pt; font-weight:bold= ; color:#767171">Discussion</li></ol>The findings of this study confirm that mult= isensory learning strategies are effective in fostering vocabulary developm= ent and meaningful engagement in early childhood English language education= . Consistent with prior research, the integration of tactile materials, pic= ture-word association, storytelling, and play-based activities promotes act= ive participation and supports language acquisition (Baquerizo et al., 2025= ; Frank et al., 2026; Park et al., 2025). The evidence also highlights that= adult scaffolding and dialogic interaction remain central mechanisms for e= nhancing comprehension and expressive vocabulary, regardless of book format= (Savva et al., 2026; Dicataldo et al., 2022).Moreover, the comparative analysis re= vealed that sensory books provide unique opportunities to stimulate multipl= e sensory channels, thereby increasing motivation and retention (Zhang et a= l., 2020; Shi et al., 2023). This aligns with recent studies emphasizing th= e importance of multimodal environments in advancing early linguistic devel= opment (Laksanasut, 2026). Similarly, teacher experiences confirm that mult= isensory methods such as songs, flashcards, and tactile games are particula= rly effective in supporting vocabulary growth in young learners (Tumbaco &a= mp; Mero, 2026). In addition, play-based learning approaches have been show= n to enhance classroom engagement and vocabulary acquisition in early addit= ional language contexts, reinforcing the pedagogical value of interactive a= nd playful strategies (Yu, 2026).Taken together, these results demonstrate that sen= sory books designed with evidence-based multisensory strategies can serve a= s powerful tools for promoting vocabulary learning in children aged 3-4. Th= e emphasis on active participation, guided interaction, and formative asses= sment through observation ensures that the proposed resource is pedagogical= ly sound and responsive to the developmental needs of early learners.</span= ><ol start=3D"5" style=3D"margin:0pt; padding-left:0pt"><li class=3D"Li= stParagraph" style=3D"margin-top:12pt; margin-left:17.45pt; text-align:just= ify; line-height:115%; padding-left:3.85pt; font-family:'Times New Roman'; = font-size:12pt; font-weight:bold; color:#767171">Conclusions</= li></ol><ul style=3D"margin:0pt; padding-left:0pt"><li class=3D"ListParagra= ph" style=3D"margin-left:35.63pt; margin-bottom:0pt; text-align:justify; li= ne-height:115%; padding-left:3.67pt; font-family:serif; font-size:12pt"><sp= an style=3D"font-family:'Times New Roman'">The literature review identified= the main pedagogical, methodological, and didactic elements that underpin = the design of a sensory book to promote English language learning in childr= en ages 3 to 4, providing a scientific basis for the proposal developed.</s= pan></li><li class=3D"ListParagraph" style=3D"margin-left:35.63pt; margin-b= ottom:0pt; text-align:justify; line-height:115%; padding-left:3.67pt; font-= family:serif; font-size:12pt">The review of the studies showed that the use of multisensory materials an= d active learning strategies promotes children=E2=80=99s participation and = vocabulary development=E2=80=94aspects that were considered in the design o= f the sensory book.</li><li class=3D"ListParagraph" style=3D"margin-= left:35.63pt; margin-bottom:0pt; text-align:justify; line-height:115%; padd= ing-left:3.67pt; font-family:serif; font-size:12pt">The most common teaching strategies, such as image-w= ord association, storytelling, and play-based learning, are effective resou= rces for promoting meaningful experiences in early English acquisition.</sp= an></li><li class=3D"ListParagraph" style=3D"margin-left:35.63pt; margin-bo= ttom:0pt; text-align:justify; line-height:115%; padding-left:3.67pt; font-f= amily:serif; font-size:12pt">= The evidence analyzed confirmed that assessment through observation and int= eraction with the materials is appropriate for evaluating learning in early= childhood education, allowing for the design of instructional resources ta= ilored to this educational stage.</li><li class=3D"ListParagraph" st= yle=3D"margin-left:35.63pt; text-align:justify; line-height:115%; padding-l= eft:3.67pt; font-family:serif; font-size:12pt">The sensory book design represents a pedagogical approach= grounded in scientific evidence, integrating methodological principles and= multisensory resources to support English learning in early childhood and = serve as a reference for future research.</li></ul> <ol start=3D"6" style=3D"margin:0pt; p= adding-left:0pt"><li style=3D"margin-left:17.3pt; text-align:justify; line-= height:115%; padding-left:4pt; font-family:'Times New Roman'; font-size:12p= t; font-weight:bold; color:#767171">Conflict of Interest</li><= /ol><span= style=3D"font-family:'Times New Roman'">The authors declare that there is = no conflict of interest regarding the submitted article.<ol star= t=3D"7" style=3D"margin:0pt; padding-left:0pt"><li style=3D"margin-left:17.= 3pt; text-align:justify; line-height:115%; padding-left:4pt; font-family:'T= imes New Roman'; font-size:12pt; font-weight:bold; color:#767171">Cop= yright</li></ol>The authors are= the holders of the copyright (economic and/or exploitation rights) to the = journal's content.<ol start=3D"8" style=3D"margin:0pt; padding-l= eft:0pt"><li style=3D"margin-left:17.3pt; text-align:justify; line-height:1= 15%; padding-left:4pt; font-family:'Times New Roman'; font-size:12pt; font-= weight:bold; color:#767171">Authors' Contribution Statement</l= i></ol>All authors = contributed significantly to the preparation of the article.Disc= losure of the Delegation to Generative AIThe authors report on the use of generat= ive AI in the research and writing process. According to the GAIDeT taxonom= y (2025), the following tasks were delegated to GAI tools under full human = supervision:- Idea Generation- Formulating Research Questions and Hypotheses- Literature Search and= SynthesisThe GAI tool used was: ChatGPT 4.The authors bear full respo= nsibility for the final manuscript.GAI tools are not listed as authors and assume n= o responsibility for the results.Statement submitted by: Kerly Bel=C3=A9n Chamba Esparza.<o= l start=3D"9" style=3D"margin:0pt; padding-left:0pt"><li style=3D"margin-le= ft:17.3pt; text-align:justify; line-height:115%; padding-left:4pt; font-fam= ily:'Times New Roman'; font-size:12pt; font-weight:bold; color:#767171"><sp= an>Financing Costs</li></ol>Thi= s research was funded entirely by the authors' own funds.<ol sta= rt=3D"10" style=3D"margin:0pt; padding-left:0pt"><li style=3D"margin-left:2= 1.3pt; line-height:115%; font-family:'Times New Roman'; font-size:12pt; fon= t-weight:bold; color:#767171">References</li></ol>Baquerizo Baci= lio, P. M., Imaca=C3=B1a Perero, S. T., Mendoza Anchundia, T. M., Moya Paca= s, D. del C., Pozo Caama=C3=B1o, L. A., & Pe=C3=B1afiel Villarreal, R. = E. (2025). Los cuentos para la comprensi=C3=B3n de est=C3=ADmulo sensorial = en la primera infancia. Revista Multidisciplinar de Estudios Generales<= span style=3D"font-family:'Times New Roman'">, 4(4). <a href=3D"https://doi.org/10.70577/reg.= v4i4.383" style=3D"text-decoration:none">https://doi.org/10.70577/reg= .v4i4.383</a>Dicataldo, R., Rowe, M. L., & Roch, M. (2022). = =E2=80=9CLet=E2=80=99s read together=E2=80=9D: a parent-focused interventio= n on dialogic book reading to improve early language and literacy skills in= preschool children. Children, 9(8), 1149. <a href=3D"https://doi.org/10.3390/children9081149= " style=3D"text-decoration:none">https://doi.org/10.3390/children9081= 149</a>Frank, M., Marchman, V., Bergey, C., Boyce, V., Braginsky, = M., Kachergis, G., Mankewitz, J., Meylan, S., Prystawski, B., Ram, N., Spar= ks, R., Steffan, A., Ming Tan, A.W., & Zettersten, M. (2026). Continuou= s developmental changes in word recognition support language learning acros= s early childhood. eLife,= 2<= /span>, 1-2. <a href= =3D"https://doi.org/10.7554/eLife.109636.2" style=3D"text-decoration:none">= https://doi.org/10.7554/eLife.109636.2</a> &#x= a0; <a href=3D"https://link.springer.com/article/10.1007/s10643-026-= 02251-3" style=3D"text-decoration:none">https://link.springer.com/art= icle/10.1007/s10643-026-02251-3</a> Laksanasut, S. (2026). The power of multimodal envir= onments: advancing early linguistic development in a digital world. = TESOL and = Technology Studies, </= span>7</sp= an>(1), 58=E2=80=9375. </span= ><a href=3D"https://doi.org/10.48185/tts.v7i1.1876" style=3D"text-decoratio= n:none">https://doi.org/10.48185/tts.v7i1.1876</a>Neeman, R.= , & Raviv, H. (2026). Acquisition of multiple-meaning words, including = polysemy and homonymy, in the expressive lexicon of 3-5-year-olds, and the = impact of a gamified intervention program. Journal of child language<sp= an style=3D"font-family:'Times New Roman'">, 1=E2=80=9320. <a href= =3D"https://doi.org/10.1017/S030500092610066X" style=3D"text-decoration:non= e">https://doi.org/10.1017/S030500092610066X</a>Palma Pere= ro, M. A., S=C3=A1nchez Franco, L. M., L=C3=B3pez Vera, Y. E., Pe=C3=B1a V= =C3=A1squez, H. A., & Reyes Mac=C3=ADas, D. I. (2026). Multisensory sti= mulation and development of infant neuroplasticity: scientific contribution= s and pedagogical perspectives in early childhood education. Science and Educa= tion, 7(5.2), 375-376. <a href=3D"https:= //cienciayeducacion.com/index.php/journal/article/view/zenodo.20330293/3820= " style=3D"text-decoration:none">https://cienciayeducacion.com= /index.php/journal/article/view/zenodo.20330293/3820</a>Park, S., = Piasta, S. B., & Sayer, P. M. (2025). An initial yet rigorous test of m= ultisensory alphabet instruction for English monolingual and emergent bilin= gual children. Early Childhood Research Quarterly, 72, 328-338. <a href=3D"https://doi.org/10.1016/j.ecresq.2025.04.00= 8" style=3D"text-decoration:none">https://doi.org/10.1016/j.ecresq.20= 25.04.008</a>Rafiq-uz-Zaman, D. M., & Shih, Y.-H. (2026). A co= mprehensive review of high-impact educational research (2021=E2=80=932025):= trends, insights, and emerging practices. Inverge Journal of Social Sciences<= /span>, 5(2), 58=E2=80=9370. <a href=3D"https:/= /doi.org/10.63544/ijss.v5i2.243" style=3D"text-decoration:none">https= ://doi.org/10.63544/ijss.v5i2.243</a>= Regina, F., & Alvita Kurn= iawati, L. (2025). Enhancing early childhood education: an English busy boo= k for second-year kindergarten students. Pengabdian Masyarakat, 21(1), 260-272. <a href=3D"https://www.researchgate.ne= t/publication/396122304_Enhancing_early_childhood_education_An_English_busy= _book_for_second-year_kindergarten_students" style=3D"text-decoration:none"= >https://www.researchgate.net/publication/396122304_Enhancing_= early_childhood_education_An_English_busy_book_for_second-year_kindergarten= _students</a>Rodrigues, L. (2026). Research in education: methodol= ogical foundations, data collection strategies and categorization process i= n qualitative analysis. Regeo, 17(7), 1-29. </span= ><a href=3D"https://doi.org/10.56238/revgeov17n7-036" style=3D"text-decorat= ion:none">https://doi.org/10.56238/revgeov17n7-036</a><= /p>Savva, M., Beckmann, N., & Higgins, S. (2026, May). Teaching style and= storybook format: effects on vocabulary development and story comprehensio= n in young EAL learners. Early Childhood Education Journal.<= span style=3D"font-family:'Times New Roman'">Schreyer, P., & Blikstad-B= alas, M. (2025). A qualitative=E2=80=93reconstructive investigation of teac= hing quality through documentary video analysis. School Effectiveness and Scho= ol Improvement: An International Journal of Research, Policy and Practice</= span>, 36(3), 448=E2=80=93465. <a href=3D"https= ://doi.org/10.1080/09243453.2025.2527739" style=3D"text-decoration:none"><s= pan style=3D"font-family:'Times New Roman'; text-decoration:underline; colo= r:#000000">https://doi.org/10.1080/09243453.2025.2527739</a>Shi Qi= an, T., Lin, L. Y., & Pormalu, K. (2023, December). The use of sensory = textile books to encourage creativity among preschool children: a case stud= y. = IJMOE, 5(19), 47-66. <a href=3D"https://= www.researchgate.net/publication/377609624_THE_USE_OF_SENSORY_TEXTILE_BOOKS= _TO_ENCOURAGE_CREATIVITY_AMONG_PRESCHOOL_CHILDREN_A_CASE_STUDY" style=3D"te= xt-decoration:none">https://www.researchgate.net/publication/3= 77609624_THE_USE_OF_SENSORY_TEXTILE_BOOKS_TO_ENCOURAGE_CREATIVITY_AMONG_PRE= SCHOOL_CHILDREN_A_CASE_STUDY</a><span= style=3D"font-family:'Times New Roman'">Tumbaco Tavarez, B. N., & Mero= Caiche, A. D. (2026). Teachers=E2=80=99 experiences using multisensory method= s to develop vocabulary in young learners [Bachelor=E2=80=99s Thesis, Universidad Estatal Pen=C3= =ADnsula de Santa Elena, La Libertad, Ecuador]. <a href=3D"https://r= epositorio.upse.edu.ec/server/api/core/bitstreams/49181c92-5bc3-4b75-ae4b-0= 21677857f59/content" style=3D"text-decoration:none">https://repositor= io.upse.edu.ec/server/api/core/bitstreams/49181c92-5bc3-4b75-ae4b-021677857= f59/content</a>Yu, K. (2026). Exploring the impact of play-based l= earning on classroom engagement and vocabulary development in early additio= nal language learning. IOE Psychology & Human Development Department</span= >, 1-11. <a href=3D"ht= tps://lnep.ewapub.com/article/view/33846.pdf" style=3D"text-decoration:none= ">https://lnep.ewapub.com/article/view/33846.pdf</a>Zhang, M= ., Hou, G., Cheng Chen, Y., Zhang, T., & Yang, J. (2020, October). A bo= ok interaction scheme to enhance children=E2=80=99s reading experiences and= preferences. Frontiers in Psychology, 11, 1-9. </= span><a href=3D"https://pmc.ncbi.nlm.nih.gov/articles/PMC7591389/pdf/fpsyg-= 11-02155.pdf" style=3D"text-decoration:none">https://pmc.ncbi.= nlm.nih.gov/articles/PMC7591389/pdf/fpsyg-11-02155.pdf</a> <a id=3D"_heading_h.gj7ey7lmjgg= n"></a> <img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABA= QEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABVAKIDASIAAhEBAxEB/8QAHw= AAAgICAgMBAAAAAAAAAAAAAAoICQYHAgQBBQsD/8QAUhAAAAYBAwICBAcLCAQPAAAAAQIDBAUGB= wAIEQkSEyEKFDFRFRYiQXF3thcZNzg5QnKBobHBGCMoYXaRtfAmVnPRJTI1SFdYdHiGl6bV1tfx= /8QAHQEAAQMFAQAAAAAAAAAAAAAAAAIDBgEEBQcICf/EAD4RAAIBAgUBBAQLBgcAAAAAAAECAwQ= RAAUSITETBgdBUSJhcZEIFDI2N3aBobG00RVSdbLE8BYjJkJTZvH/2gAMAwEAAhEDEQA/AH6Wcp= HSKBHMe9aPmypQOmuzcoOUVCD7DkVRUOQxR+YxTCA/MOv2cmAWywlHgwJnEOBADAYCiIfPyAgPu= 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