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Khai phá dữ liệu người học hỗ trợ công tác quản lí đào tạo và tư vấn: nghiên cứu tại Trường Đại Học Công Nghiệp Hà Nội
// Tạp chí giáo dục : Tạp chí lí luận - khoa học giáo dục Bộ giáo dục và đào tạo tr.
Hanoi University of Industry is using an electronic university system in management and training, with a huge source of data collected and synthesized in recent times; however, the analysis and mining of this data has not been done yet. Therefore, conducting research on learner data at Hanoi University of Industry to support training management and student consulting is meaningful and necessary. In this study, the first research model incorporates demographic data and 4-semester academic results, predicting an on-time graduation rate of 88% and a graduation classification prediction of 89%. The second model includes learning outcome data of 6 semesters, resulting in an increased prediction rate. It projected an on-time graduation rate of 90% and a graduation classification prediction of 95%. The research findings proposed several recommendations aimed at improving on-time graduation rates and achieving good and excellent graduation results for the University and its students; providing students with personalized learning that takes into account students' skills, goals and interests to create their ideal learning journey.
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