Implementing a bilingual text-mining system with hierarchical visualization to reflect the changes of learners’ understanding of academic integrity

Research output: Chapter in Book/Report/Conference proceedingChapters

Abstract

Academic integrity education is of concern in higher education. This research designs a learning trail to enable students to reflect their understanding of academic integrity. Students’ discussion about their understanding of academic integrity before and after working with learning materials along the learning trail were collected and compared with a framework of keywords developed by the researcher via a bilingual text-mining system. The results were represented by hierarchical visualization tools for the researchers examining the differences of the representations in terms of the keywords used by students. One of the results indicated that students used more keywords about academic integrity in the dimension of values after the intervention. This study paves a way to support teachers and students to use this visualization tool for pedagogical intervention and reflection respectively. 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
Pages708-711
ISBN (Print)9789887703402
Publication statusPublished - 2016

Citation

Kong, S. C., & Li, P. (2016). Implementing a bilingual text-mining system with hierarchical visualization to reflect the changes of learners’ understanding of academic integrity. 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. 708-711). Hong Kong: The Hong Kong Institute of Education.

Keywords

  • Learning trail
  • Text-mining system
  • Academic integrity
  • Framework of keywords
  • Hierarchical visualization

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