The use of bilingual text-mining system is introduced to EdUHK courses for three types of learning analytics supports. (1) The system can automatically identify and count the matching keywords mentioned in students’ reflection texts, according to the frameworks of topic-specific keywords established by the teachers. (2) The system can automatically generate hierarchical visualization of text-mining results, of which the zoom-able diagrams incorporate a number of statistical quantities for interpreting text-mining results from the individual-student, student-group, and whole-class perspectives. (3) The system can automatically analyze students’ major focuses in their learning reflection, for checking students’ strengths and inadequacies in understanding the topic-specific concepts. These three learning analytics supports are empirically examined to be effective for stimulating and guiding students to check learning inadequacies, identify areas of improvement, and re-think learning focuses in course learning.
View
PosterView
Video
