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  • 标题:Supporting Self-Regulated Learning by Affect Detection and Responding in AI-driven Learning Systems
  • 本地全文:下载
  • 作者:Faisal Rehman Channa ; Pir Suhail Ahmed Sarhandi ; Firdous Bugti
  • 期刊名称:Ilköğretim Online/Elementary Education Online
  • 印刷版ISSN:1305-3515
  • 电子版ISSN:1305-3515
  • 出版年度:2021
  • 卷号:20
  • 期号:5
  • 页码:3205-3211
  • DOI:10.17051/ilkonline.2021.05.348
  • 语种:English
  • 出版社:Öğretmen Eğitimi Akademisi
  • 摘要:Emotions play a vital role in self-regulated learning (SRL)processes and drastically influence cognitive functioning.Along with creating individualized, engaging, flexible and inclusive learning environments, Artificial intelligence (AI) learning systems, especially intelligent tutoring systems (ITSs) have the potential to sense affective states of a learner and respond to them to maintain learning flow. This paper discusses the concept of AI in education (AIEd) followed by the explanation of the role of emotions in SRL. Highlighting theoretical and technical aspects, it provides a discussion of ITS with an example of its benefits in learning.It also overviews affect detection and responding in affectsensitive ITSs. Before concluding, the paper highlights some limitations of the AI learning systems to detectaffective states and achieve maximum student learning outcomes..
  • 关键词:Emotions in Self-regulated Learning;Affective States;Affect Detection;Artificial Intelligencein Education;Intelligent Tutoring Systems
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