Student Clustering Based on Learning Behavior Data in the Intelligent Tutoring System
作者: Ines Šarić-GrgićAni GrubišićLjiljana ŠerićTimothy J. Robinson
作者单位: 1Faculty of Science, University of Split, Split, Croatia
2University of Split, Faculty of Science, Split, Croatia
3University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia
4Department of Mathematics and Statistics, University of Wyoming, Laramie, USA
刊名: International Journal of Distance Education Technologies (IJDET), 2020, Vol.18 (2), pp.73-89
来源数据库: IGI Global Journal
DOI: 10.4018/IJDET.2020040105
原始语种摘要: The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning behavior using 8 tracking variables: the total number of content pages seen in the learning process; the total number of concepts; the total online score; the total time spent online; the total number of logins; the stereotype after the initial test, the final stereotype, and the mean stereotype variability. The previous measures were used in a four-step analysis that consisted of data preprocessing, dimensionality reduction, the clustering, and the...
全文获取路径: IGI Global 

  • total 总和
  • learning 学识
  • number 号码
  • stereotype 定型行为
  • according 按照
  • clustering 聚类
  • providing 只要
  • process 过程
  • system 
  • decision 决定