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

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.