Attitude toward online peer-assessment activity: Experiential learning theory viewpoint

Wan Hsuan Yen, Chi Cheng Chang

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Kolb’s Experiential Learning Theory (ELT) can help educators design learning activities with holistic view in mind. By understanding student’s learning preference, educators may choose the methods that interest students most. From our study of 175 Taiwanese postgraduate students, 49.7% of them are assimilating (AS) type who learn best through reflection and conceptualization. Online peer-assessment activity is found to be preferred in attitude by AS type students over diverging (DI) type. As a result, the utilization of seminars with online peer-assessment can provide real world simulation and may interest the majority of postgraduate students. The implication of using ELT in learning activity design is also discussed.

原文英語
主出版物標題Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings
編輯Lin Lin, Ting-Ting Wu, Yueh-Min Huang, Yueh-Min Huang, Andreja Istenic Starcic, Rustam Shadieva
發行者Springer Verlag
頁面61-70
頁數10
ISBN(列印)9783319997360
DOIs
出版狀態已發佈 - 2018 一月 1
事件1st International Conference on Innovative Technologies and Learning, ICITL 2018 - Portoroz, 斯洛文尼亚
持續時間: 2018 八月 272018 八月 30

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11003 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他1st International Conference on Innovative Technologies and Learning, ICITL 2018
國家斯洛文尼亚
城市Portoroz
期間18/8/2718/8/30

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Yen, W. H., & Chang, C. C. (2018). Attitude toward online peer-assessment activity: Experiential learning theory viewpoint. 於 L. Lin, T-T. Wu, Y-M. Huang, Y-M. Huang, A. I. Starcic, & R. Shadieva (編輯), Innovative Technologies and Learning - First International Conference, ICITL 2018, Proceedings (頁 61-70). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11003 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-99737-7_6