Educational data mining using chance discovery from discussion board

Simon Y. K. LI, Ka Wai Gary WONG

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We present our preliminary research results of identifying serendipitous findings from discussion forums of students in this paper. A text-mining tool called Polaris was used to generate the analytical results in KeyGraph helping teachers assess the effectiveness of teaching and innovation of learning respectively through the visualization of hidden patterns in the online learning environment. Our results show that the serendipitous findings have shown a traceable pattern to predict the academic performance of students. The research findings can lead to adaptive pedagogical designs for teaching and learning by finding hidden patterns and linkages among the students’ serendipitous learning. Both teachers and students can be supported on how to improve teaching and learning with feedbacks from this new tool. Ultimately, the advanced mining technology to assess the students’ knowledge discovery process can create a new approach for transformative learning and teaching in education. Copyright © 2016 Global Chinese Society for Computers in Education.
Original languageEnglish
Title of host publicationProceedings of the 20th Global Chinese Conference on Computers in Education 2016
EditorsYing-Tien Wu, Maiga Chang, Baoping Li, Tak-Wai Chan, Siu Cheung Kong, Hao Chiang Koong Lin, Hui-Chun Chu, Mingfong Jan, Min-Hsien Lee, Yan Dong, Ka Ho Tse, Tak Lam Wong, Ping Li
Place of PublicationHong Kong
PublisherThe Hong Kong Institute of Education
Pages712-715
ISBN (Print)9789887703402
Publication statusPublished - 2016

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learning
student
Teaching
effectiveness of teaching
teacher
research results
visualization
learning environment
innovation
knowledge
performance
education

Citation

Li, S. Y. K., & Wong. G. K. W. (2016). Educational data mining using chance discovery from discussion board. In Y.-T. Wu, M. Chang, B. Li, T.-W. Chan, S. C. Kong, H. C. K. Lin, et al. (Eds.), Conference proceedings of the 20th Global Chinese Conference on Computers in Education 2016 (pp. 712-715). Hong Kong: The Hong Kong Institute of Education.

Keywords

  • Educational data mining
  • Topic detection
  • Serendipitous learning
  • Chance discovery
  • Learning analytics
  • Big data
  • TDG project code: T0165
  • Period: TDG 2015-2016
  • Teaching Development Grant (TDG)
  • Teaching Development Grant (TDG) Output