Reading Comprehension and Constructive Learning: Policy Considerations in the Age of Artificial Intelligence

IF 3.4 Q1 EDUCATION & EDUCATIONAL RESEARCH
Kathryn S. McCarthy, Eleanor F. Yan
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引用次数: 0

Abstract

Although reading in the digital age looks different than in the past (e.g., on a screen, shorter texts spread across multiple sources), reading continues to be a central part of everyday life. Research in reading comprehension shows that this type of modern reading requires more complex knowledge building inference processes that are difficult for many adolescents and adults. Constructive and personalized learning activities can support readers’ knowledge building. Researchers have been using artificial intelligence (AI) to make these types of activities more effective and accessible. Emerging directions and considerations also result from the introduction of generative AI. Increased collaboration across researchers, developers, educators, and policymakers would afford empirically supported research, development, and implementation that can keep pace with the quickly evolving technological landscape.
阅读理解与建设性学习:人工智能时代的政策考量
尽管数字时代的阅读与过去有所不同(例如,在屏幕上阅读,短文散见于多个来源),但阅读仍然是日常生活的核心部分。阅读理解方面的研究表明,这种类型的现代阅读需要更复杂的知识构建推理过程,这对许多青少年和成年人来说都是困难的。建设性和个性化的学习活动可以帮助读者构建知识。研究人员一直在利用人工智能(AI)使这类活动更有效、更方便。生成式人工智能的引入也带来了新的方向和考虑因素。加强研究人员、开发人员、教育工作者和政策制定者之间的合作,将为研究、开发和实施提供经验支持,从而跟上快速发展的技术领域的步伐。
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来源期刊
Policy Insights from the Behavioral and Brain Sciences
Policy Insights from the Behavioral and Brain Sciences Social Sciences-Public Administration
CiteScore
5.30
自引率
0.00%
发文量
24
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