Identifying learning styles in learning management systems by using indications from students' behaviour

Sabine Graf, Kinshuk, Tzu-Chien Liu

研究成果: 書貢獻/報告類型會議貢獻

119 引文 斯高帕斯(Scopus)

摘要

Making students aware of their learning styles and presenting them with learning material that incorporates their individual learning styles has potential to make learning easier for students and increase their learning progress. This paper proposes an automatic approach for identifying learning styles with respect to the Felder-Silverman learning style model by inferring their learning styles from their behaviour during they are learning in an online course. The approach was developed for learning management systems, which are commonly used in elearning. In order to evaluate the proposed approach, a study with 127 students was performed, comparing the results of the automatic approach with those of a learning style questionnaire. The evaluation yielded good results and demonstrated that the proposed approach is suitable for identifying learning styles. By using the proposed approach, students' learning styles can be identified automatically and be used for supporting students by considering their individual learning styles.

原文英語
主出版物標題Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008
頁面482-486
頁數5
DOIs
出版狀態已發佈 - 2008 九月 22
事件8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008 - Santander, 西班牙
持續時間: 2008 七月 12008 七月 5

出版系列

名字Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008

其他

其他8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008
國家西班牙
城市Santander
期間08/7/108/7/5

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Information Systems
  • Electrical and Electronic Engineering
  • Education

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