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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.
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No potential conflict of interest was reported by the authors.
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Notes on contributors
Siu-Cheung Kong
Professor Siu-Cheung Kong is currently Professor of the Department of Mathematics and Information Technology, and Director of the Centre for Learning, Teaching and Technology, the Education University of Hong Kong. His research interests include pedagogy in the digital classroom and online learning; policy on technology-transformed education and professional development of teachers for learner-centred learning; and computational thinking education. Professor Kong currently is the Editor-in-Chief of the international journal Research and Practice in Technology Enhanced Learning (RPTEL) and Journal of Computers in Education (JCE).
Wai-Ying Kwok
Dr Wai-Ying Kwok currently is Post-Doctoral Fellow of the Centre for Learning, Teaching and Technology, the Education University of Hong Kong. Her research interests include computer-assisted language learning, general linguistics, language acquisition, English as Second/Foreign Language education, English writing pedagogy, peer-assessment and self-editing in collaborative learning, and computational thinking education.
Chun-Wing Poon
Dr Chun-Wing Poon currently is Post-Doctoral Fellow of the Centre for Learning, Teaching and Technology, the Education University of Hong Kong. His research interest focuses on learning analytics for textual data analysis through the techniques of bilingual text mining and automatic text summarisation, and coding education on mobile apps programming for mathematics learning and teaching.