Exploring students’ behaviors in editing learning environment

Xuebai Zhang, Xiao Long Liu*, Shyan-Ming Yuan, Chia Chen Fan, Chuen-Tsai Sun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


As a pathway for learning, remix has become one of the most important practices within the field of open educational resources. In this study, we investigate the searching and re-editing behavior of students in an online web environment. Participants were asked to search and remix the retrieved web information, which was based on the content of textbook. To explore learning process in the remixing environment, the relationships among function of thinking styles, the search behaviors, the edit behavior, pre-performance, and the final remixing performance are analyzed. Various behavior data are recorded, including web visiting log, interaction log and eye tracking data. The finding provides insight into how to understand the behaviors associated with underlying cognitive and learning performances.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings
EditorsJulita Vassileva, Roger Nkambou, Roger Azevedo
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783319914633
StatePublished - 1 Jan 2018
Event14th International Conference on Intelligent Tutoring Systems, ITS 2018 - Montreal, Canada
Duration: 11 Jun 201815 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10858 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th International Conference on Intelligent Tutoring Systems, ITS 2018


  • Eye tracking
  • Learner cognitive
  • Remix
  • Thinking style

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