The limits of large language models and the necessity of human cognition in K-12 education.
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| Title: | The limits of large language models and the necessity of human cognition in K-12 education. |
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| Authors: | Yoo, Jiseung, Scribner, Campbell F. |
| Source: | Theory Into Practice. Fall2025, Vol. 64 Issue 4, p492-505. 14p. |
| Subjects: | Artificial intelligence in education, Cognitive science, Cognition, Social interaction, Self-consciousness (Awareness), Humanistic education |
| Abstract: | This article explores the distinctive qualities of human cognition in comparison to large language models (LLMs), focusing on the implications of each for K-12 education. Drawing on insights from cognitive science and phenomenology, we argue that human cognition — grounded in embodied experience, social interaction, and self-consciousness — cannot be fully replicated by machine models. These unique qualities suggest the need for humanistic education: teaching rooted in action, subjectivity, and self-consciousness, aimed at the cultivation of virtue. This study contributes to the broader discussion on AI in education by emphasizing the irreplaceable aspects of human experience and highlighting what human-centric instruction looks like in the era of AI. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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