ARTIFICIAL INTELLIGENCE AS DIDACTIC MEDIATION IN LEARNING ENVIRONMENTS FOR THE STRENGTHENING OF READING COMPREHENSION IN STUDENTS OF BASIC AND HIGHER EDUCATION: A THEORETICAL REVIEW FROM THE CASA DEL MAESTRO
DOI:
https://doi.org/10.52152/gkas0b92Keywords:
AI, reading comprehension processes, Machine Learning, social-technological context, teaching practice, basic education, higher education, ICT, educational technology, strategy, didactic mediation, Augmented Reality, Virtual Reality, Mixed Reality.Abstract
The different structural transformations of education in terms of employability and integration of educational technology such as Artificial Intelligence; have made it possible to promote an interactive learning environment with intention contextualized to the current needs of society within the classroom. From this approach, this article seeks to understand how AI as a didactic mediation strategy strengthens reading comprehension processes in students in basic and higher education. from various critical positions raised by authors who support the study. Therefore, the methodological component of the article is based on a review of documents that conceptually address the perspectives of different authors with respect to study categories such as AI, Machine Learning, ICT in the classroom, Role of the teacher in AI-assisted reading comprehension processes and digital skills within pedagogical practice; In the same way, the content analysis of the selected documents that enable a systematic structure of the information is addressed and the results obtained are presented. Thus, it was found that, among the main findings, the authors agree that the implementation of AI to strengthen reading comprehension processes in basic and higher level students is a tool that, properly guided by teachers, contributes positively to the development and strengthening of the communication skills necessary for meaningful reading comprehension. Finally, it is concluded that educational technology provides opportunities for the construction of dynamic, interactive machine learning environments. However, its effectiveness in fully guiding student learning is not certain; therefore, the need for teacher training for the ethical and pedagogical mastery of these tools in the context of basic and higher education is highlighted.
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