Challenges of Learning in the Age of Artificial Heuristics

Abstract

This study examines, from a philosophical-educational perspective, the fundamental keys to developing a comprehensive model of human cognition. It considers a wide range of essential variables, including the multimodality of knowledge, which highlights how different ways of understanding and processing information contribute to a more complete understanding of reality. The complementary role of languages is also addressed, recognizing that each language offers a unique perspective in the construction of knowledge. Additionally, the imitative sensorimotor foundation is explored, emphasizing the central role of imitation in learning and cognitive development, particularly in the early stages of life. Alongside this, cognitive biases are analyzed, as they influence how we perceive and process information, along with the social influence on perception, which is crucial for understanding how context and social interactions shape our cognitive experiences. The study focuses particularly on the impacts of AI-based educational chatbots, using ChatGPT as a representative case study. It emphasizes how heuristics, combined with these emerging technologies, contribute to a more adaptive and flexible learning environment, preparing individuals to face the complex challenges of the 21st century in the educational sphere.