Classifying student's attentiveness via spatial-temporal fuzzy logic classification

Chun Ming Tsai, Zong Mu Yeh

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

Students' attentiveness in learning activities is a critical component in effective learning. However, there are many factors that may distract learners, resulting in behaviors such as whispering to classmates, glancing away from the lesson, sleeping and even leaving. This study proposes a spatial- and temporal-based fuzzy logic classification to classify student's attentiveness to promote improvement in classroom learning. This method uses spatial and temporal features to define the membership function for input variables in a fuzzy logical classification. This fuzzy classification approach can classify student's attentiveness into five quantified levels. These five levels includes extremely distracted, very distracted, obviously distracted, distracted and attentive. Simulation results indicated that the proposed method is significantly effective for detecting and classifying student's attentiveness.

原文英語
頁(從 - 到)541-553
頁數13
期刊International Journal of Fuzzy Systems
16
發行號4
出版狀態已發佈 - 2014 十二月 1

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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