The Inevitable and Unpredictable Role of Large Language Models in Education: A Commentary on Huettig and Christiansen (2024)
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.
Authors
- Roberto Araya (ORCID: https://orcid.org/0000-0003-2598-8994)
- Ernesto Guerra (ORCID: https://orcid.org/0000-0001-7403-5271)
- Marcela Peña (ORCID: https://orcid.org/0000-0002-6027-9280)
Institutions
- Pontificia Universidad Católica de Chile (CL)
- German Research Centre for Artificial Intelligence (DE)
- University of Chile (CL)
- Joint Base San Antonio (US)
Publication Details
- Journal
- Cognitive Science
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1111/cogs.70105
- Primary Topic
- Text Readability and Simplification
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Institute of Atomic Energy
- Agencia Nacional de Investigación y Desarrollo