English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Can large language models counter the recent decline in literacy levels? An important role for cognitive science

MPS-Authors
/persons/resource/persons79

Huettig,  Falk
Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society;
The Cultural Brain, MPI for Psycholinguistics, Max Planck Society;
University of Kaiserslautern-Landau;
University of Lisbon;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Supplementary Material (public)
There is no public supplementary material available
Citation

Huettig, F., & Christiansen, M. H. (2024). Can large language models counter the recent decline in literacy levels? An important role for cognitive science. Cognitive Science, 48(8): e13487. doi:10.1111/cogs.13487.


Cite as: https://hdl.handle.net/21.11116/0000-000F-A8BE-E
Abstract
Literacy is in decline in many parts of the world, accompanied by drops in associated cognitive skills (including IQ) and an increasing susceptibility to fake news. It is possible that the recent explosive growth and widespread deployment of Large Language Models (LLMs) might exacerbate this trend, but there is also a chance that LLMs can help turn things around. We argue that cognitive science is ideally suited to help steer future literacy development in the right direction by challenging and informing current educational practices and policy. Cognitive scientists have the right interdisciplinary skills to study, analyze, evaluate, and change LLMs to facilitate their critical use, to encourage turn-taking that promotes rather than hinders literacy, to support literacy acquisition in diverse and equitable ways, and to scaffold potential future changes in what it means to be literate. We urge cognitive scientists to take up this mantle—the future impact of LLMs on human literacy skills is too important to be left to the large, predominately US-based tech companies.