{"title":"阅读理解与建设性学习:人工智能时代的政策考量","authors":"Kathryn S. McCarthy, Eleanor F. Yan","doi":"10.1177/23727322231218891","DOIUrl":null,"url":null,"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.","PeriodicalId":52185,"journal":{"name":"Policy Insights from the Behavioral and Brain Sciences","volume":"288 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reading Comprehension and Constructive Learning: Policy Considerations in the Age of Artificial Intelligence\",\"authors\":\"Kathryn S. McCarthy, Eleanor F. Yan\",\"doi\":\"10.1177/23727322231218891\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":52185,\"journal\":{\"name\":\"Policy Insights from the Behavioral and Brain Sciences\",\"volume\":\"288 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2023-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Policy Insights from the Behavioral and Brain Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/23727322231218891\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Policy Insights from the Behavioral and Brain Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23727322231218891","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Reading Comprehension and Constructive Learning: Policy Considerations in the Age of Artificial Intelligence
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.