The Inevitable and Unpredictable Role of Large Language Models in Education: A Commentary on Huettig and Christiansen (2024)

Guerra E.; Pena M.; Araya R.

Keywords: artificial intelligence, education, writing, literacy, reading, cognitive skills, large language models

Abstract

This commentary critically complements a recent proposal that cognitive science can leverage Large Language Models (LLMs) to counter declining literacy. While recognizing the educational potential of LLMs, we highlight a significant trade-off: their inherent design reduces users’ direct engagement with written text, undermining deeper literacy skills, especially in young learners. Acknowledging this tension is essential for developing pedagogically sound interventions. Cognitive scientists and educators must jointly anticipate which cognitive capacities may weaken, identify critical skills needed in emerging multimodal contexts, and collaboratively devise instructional strategies to preserve the cognitive benefits humans derive specifically from sustained interaction with written language. © 2025 Cognitive Science Society LLC.

Más información

Título según WOS: The Inevitable and Unpredictable Role of Large Language Models in Education: A Commentary on Huettig and Christiansen (2024)
Título según SCOPUS: The Inevitable and Unpredictable Role of Large Language Models in Education: A Commentary on Huettig and Christiansen (2024)
Título de la Revista: Cognitive Science
Volumen: 49
Número: 8
Editorial: John Wiley and Sons Inc.
Fecha de publicación: 2025
Idioma: English
DOI:

10.1111/cogs.70105

Notas: ISI, SCOPUS