Impact of the use of artificial intelligence in technical vocational teacher training
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Introduction: In the 21st century, artificial intelligence (AI) has emerged as a catalyst for change in various sectors, and education is no exception. Its ability to analyze large volumes of data, personalize learning experiences, and automate administrative tasks has reconfigured the educational landscape globally. Objective: The general objective of this study was to analyze the impact of the use of artificial intelligence (AI) on technical-professional teacher training at the Instituto Técnico Agropecuario Ciudad de Valencia, located in the province of Los Ríos, Ecuador. Methodology: The problem posed focused on the lack of technological and pedagogical skills of teachers, as well as the limited availability of resources and training to integrate AI tools into their educational practices. To address this problem, a non-experimental, descriptive, and correlational design with a quantitative approach was used. Data collection was conducted through a structured questionnaire with Likert-scale questions, administered to a sample of 20 teachers. Results: The data were analyzed using Jamovi statistical software. The main result showed a high positive correlation (r = 0.763) between the perception of AI and teacher training, indicating that the implementation of AI tools is linked to improvements in pedagogical skills, teacher motivation, and adaptability to change. Conclusion: The main conclusion highlights that, although teachers have a favorable perception of AI, there are barriers related to training and resources that must be overcome. This highlights the importance of comprehensive strategies that strengthen both technological and pedagogical skills to maximize the impact of AI in technical and professional contexts. General area of study: Education. Specific area of study: Master’s in digital Environments. Type of study: Original articles.
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