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大型语言模型能否应对近期识字率下降的趋势? 认知科学的重要作用
Falk Huettig1,2,3, Morten H Christiansen4,5,6
1Psychology of Language Department, Max Planck Institute for Psycholinguistics.
Cognitive science
|August 18, 2024
概括
大型语言模型 (LLM) 可能会恶化阅读能力和认知能力的下降,但认知科学可以指导它们的使用以提高阅读能力. 专家们敦促干预,以确保LLMs受益,而不是伤害,未来的识字发展.
科学领域:
- 认知科学 认知科学
- 教育技术的教育技术
- 人与计算机的交互
背景情况:
- 全球识字率正在下降,这与认知能力的下降和对错误信息的脆弱性增加有关.
- 大型语言模型 (LLM) 的快速扩散为识字发展带来了风险和机遇.
研究的目的:
- 倡导认知科学在塑造法学士时代识字未来的关键作用.
- 探索认知科学家如何影响有关LLM整合的教育实践和政策.
主要方法:
- 本研究提出了基于认知科学的跨学科专业知识的理论论证和行动呼吁.
- 它涉及分析LLMs对识字的潜在影响,并提出战略干预措施.
主要成果:
- 认知科学拥有独特的跨学科技能,可以研究,分析和调整LLM以获得有益的识字成果.
- 需要进行干预,以确保LLMs促进批判性思维,公平的识字能力和深思熟虑的参与.
结论:
- 认知科学家必须积极参与LLM的开发和部署,以保护和提高人类的识字能力.
- 积极参与至关重要,以减轻风险,并利用LLMs的潜力来促进正面的识字演变,确保这一关键领域不仅仅是由科技公司塑造的.


