Year: 2025
Type: preprint
Abstract: This article examines the educational consequences arising from the emergence of technologies based on Artificial Intelligence (AI), with an emphasis on advancements resulting from the use of artificial neural networks and pattern recognition. Traditional educational methods, grounded in predictability, content transmission, and memorization of procedures and techniques, prove insufficient in a social context where information is increasingly accessible instantaneously and free of charge. In this scenario, pedagogy centred on metacognitive predicates, highlighting student self-awareness and emphasizing the importance of learning to learn, appears to be the most appropriate approach to address the social transformations driven by AI. This paper presents and discusses general guidelines for implementing metacognitive practices in the classroom, fostering reflection on their potential effects on the learning process.
Source: Qeios
DOI: 10.32388/t36pi8
Authors: Gabriel Goldmeier, Ronaldo Mota
Institution: Universidade Federal do Rio de Janeiro
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4415775606