La Inteligencia Artificial en educación: percepciones y saberes de los docentes

Abstract

Introduction: This study explored the knowledge and perceptions of teachers regarding AI and large language models (LLM), in the framework of a collaborative project between the Universidad de las Américas de Chile and the Secretaría Ministerial de Educación de Valparaíso. Methodology: A questionnaire of 13 questions was used, applied to 41 teachers. The analysis of the results was carried out from a mixed design perspective. Results: Teachers showed enthusiasm towards AI rather than fear, recognizing a superficial knowledge of LLM. The pandemic changed their perception of educational technologies, and the main obstacle identified was Internet access. Discussion: Teachers do not clearly differentiate between AI tools and virtual environments, and the need to improve their training in this new context was observed. No significant differences were found between teachers in rural and urban areas. Conclusions: There is a need to advance in teacher training on AI and to update teaching and evaluation practices that are considered obsolete in this technological context. © 2024, HISIN (History of Information Systems). All rights reserved.