Can Large Language Models Counter the Recent Decline in Literacy Levels? An Important Role for Cognitive Science

IF 2.3 2区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Falk Huettig, Morten H. Christiansen
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引用次数: 0

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 U.S.-based tech companies.

大型语言模型能否应对近期识字水平的下降?认知科学的重要作用。
在世界许多地方,识字率正在下降,伴随而来的是相关认知技能(包括智商)的下降和对假新闻的日益敏感。最近大语言模型(LLM)的爆炸式增长和广泛应用有可能加剧这一趋势,但也有可能帮助扭转局面。我们认为,认知科学非常适合通过挑战和指导当前的教育实践和政策,帮助引导未来的扫盲朝着正确的方向发展。认知科学家拥有适当的跨学科技能来研究、分析、评估和改变识字方法,以促进其批判性使用,鼓励促进而不是阻碍识字的轮流学习,以多样化和公平的方式支持识字学习,并为未来识字方法的潜在变革提供支架。我们敦促认知科学家承担起这一重任--未来扫盲对人类读写能力的影响太重要了,不能留给以美国为主的大型科技公司。
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来源期刊
Cognitive Science
Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.10
自引率
8.00%
发文量
139
期刊介绍: Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
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