Evaluating a learning trail for academic integrity development in higher education using bilingual text mining

Siu Cheung KONG, Wai Ying KWOK, Chun Wing POON

Research output: Contribution to journalArticlespeer-review

Abstract

The study presents outcomes of students at a higher education institution in walking through a learning trail guided by a mobile application for enhancing their understanding of academic integrity. A framework which consisted of topic-specific bilingual keywords was proposed to support students to reflect on the key concepts embedded in the learning trail. A total of 61 students from three cohorts were involved in the evaluation. Students’ pre-trail and post-trail reflection texts were analysed by bilingual text mining. The results indicated that after the learning trail, the students realised more the importance of the five fundamental values of academic integrity. These results were further confirmed by the summary of students’ major topics in pre-trail and post-trail reflection texts, as extracted by the LexRank method. A post-trail questionnaire survey found that students positively perceived the interesting and interactive environment provided in the learning trail. Three future research directions are discussed. Copyright © 2021 Technology, Pedagogy and Education Association.
Original languageEnglish
Pages (from-to)305-322
JournalTechnology, Pedagogy and Education
Volume30
Issue number2
Early online date19 Apr 2021
DOIs
Publication statusPublished - 2021

Citation

Kong, S.-C., Kwok, W.-Y., & Poon, C.-W. (2021). Evaluating a learning trail for academic integrity development in higher education using bilingual text mining. Technology, Pedagogy and Education, 30(2), 305-322. doi: 10.1080/1475939X.2021.1899041

Keywords

  • Academic integrity
  • Bilingual text mining
  • Higher education
  • Learning trail

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