Metacognition and Pedagogy in the Era of Artificial Intelligence

This article explores the impact of artificial intelligence (AI)-based technologies on educational processes, emphasizing advances in machine learning, artificial neural networks, and pattern recognition. Traditional teaching approaches, focused on predictability, knowledge transfer, and memorization, are increasingly inadequate in a society marked by rapid change and instant, free access to information. In this context, pedagogy rooted in metacognitive predicates, particularly promoting self-knowledge, independent learning, and the ability to learn how to learn, emerges as the most effective response to social shifts driven by AI. The paper offers guidelines for integrating metacognitive practices into classroom settings, encouraging reflective consideration of their influence on learning. Additionally, it discusses the potential for AI itself to act as a partner in cultivating metacognitive skills, fostering more reflective and autonomous educational practices. Metacognition, often seen as uniquely human, is highlighted as a crucial differentiator in the competition with AI-driven machines, especially amid ongoing labour market transformations. The importance of establishing general guidelines for implementing metacognitive strategies in education and promoting reflection on their potential effects on learning is also emphasized.