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  • 标题:Framework to describe constructs of academic emotions using ontological descriptions of statistical models
  • 本地全文:下载
  • 作者:Keiichi Muramatsu ; Keiichi Muramatsu ; Eiichirou Tanaka
  • 期刊名称:Research and Practice in Technology Enhanced Learning
  • 电子版ISSN:1793-7078
  • 出版年度:2016
  • 卷号:11
  • 期号:1
  • 页码:1-18
  • DOI:10.1186/s41039-016-0029-1
  • 语种:English
  • 出版社:Springer
  • 摘要:Abstract Many studies have been conducted during the last two decades examining learner reactions within e-learning environments. In an effort to assist learners in their scholastic activities, these studies have attempted to understand a learner’s mental states by analyzing participants’ facial images, eye movements, and other physiological indices and data. To add to this growing body of research, we have been developing the intelligent mentoring system (IMS), which performs automatic mentoring by using an intelligent tutoring system (ITS) to scaffold learning activities and an ontology to provide a specification of learner’s models. To identify learner’s mental states, the ontology operates on the basis of the theoretical and data-driven knowledge of emotions. In this study, we use statistical models to examine constructs of emotions evaluated in previous psychological studies and then produce a construct of academic boredom. In concrete terms, we develop ontological descriptions of academic boredom that are represented with statistical models. To evaluate the validity and utility of the descriptions, we conduct an experiment to obtain subjective responses regarding learners’ academic emotions in their university course and describe them as instances on the basis of the ontological descriptions.
  • 关键词:Ontology;Academic emotions;Boredom;Construct
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