Performance Prediction for Students: A Multi-Strategy Approach
p. 1314-4081
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BULGARIAN ACADEMY OF SCIENCES
2017
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| Online Access: | http://repository.vnu.edu.vn/handle/VNU_123/60387 |
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oai:112.137.131.14:VNU_123-603872017-12-11T08:15:59Z Performance Prediction for Students: A Multi-Strategy Approach Tran, Thi Oanh Dang, Hai Trieu Dinh, Viet Thuong Truong, Thi Minh Ngoc Vuong, Thi Phuong Thao Phan, Xuan Hieu Predicting student performance academic system hybrid approach regression recommender system p. 1314-4081 This paper presents a study on Predicting Student Performance (PSP) in academic systems. In order to solve the task, we have proposed and investigated different strategies. Specifically, we consider this task as a regression problem and a rating prediction problem in recommender systems. To improve the performance of the former, we proposed the use of additional features based on course-related skills. Moreover, to effectively utilize the outputs of these two strategies, we also proposed a combination of the two methods to enhance the prediction performance. We evaluated the proposed methods on a dataset which was built using the mark data of students in information technology at Vietnam National University, Hanoi (VNU). The experimental results have demonstrated that unlike the PSP in e-Learning systems, the regression-based approach should give better performance than the recommender system-based approach. The integration of the proposed features also helps to enhance the performance of the regression-based systems. Overall, the proposed hybrid method achieved the best RMSE score of 1.668. These promising results are expected to provide students early feedbacks about their (predicted) performance on their future courses, and therefore saving times of students and their tutors in determining which courses are appropriate for students’ ability. 2017-11-22T07:40:22Z 2017-11-22T07:40:22Z 2017 Article Print ISSN: 1311-9702 Online ISSN: 1314-4081 http://repository.vnu.edu.vn/handle/VNU_123/60387 en CYBERNETICS AND INFORMATION TECHNOLOGIES;Volume 17, No 2 application/pdf BULGARIAN ACADEMY OF SCIENCES |
| institution |
Vietnam National University, Hanoi |
| building |
VNU Library & Information Center |
| country |
Vietnam |
| collection |
VNU Digital Repository |
| language |
English |
| topic |
Predicting student performance academic system hybrid approach regression recommender system |
| spellingShingle |
Predicting student performance academic system hybrid approach regression recommender system Tran, Thi Oanh Dang, Hai Trieu Dinh, Viet Thuong Truong, Thi Minh Ngoc Vuong, Thi Phuong Thao Phan, Xuan Hieu Performance Prediction for Students: A Multi-Strategy Approach |
| description |
p. 1314-4081 |
| format |
Article |
| author |
Tran, Thi Oanh Dang, Hai Trieu Dinh, Viet Thuong Truong, Thi Minh Ngoc Vuong, Thi Phuong Thao Phan, Xuan Hieu |
| author_facet |
Tran, Thi Oanh Dang, Hai Trieu Dinh, Viet Thuong Truong, Thi Minh Ngoc Vuong, Thi Phuong Thao Phan, Xuan Hieu |
| author_sort |
Tran, Thi Oanh |
| title |
Performance Prediction for Students: A Multi-Strategy Approach |
| title_short |
Performance Prediction for Students: A Multi-Strategy Approach |
| title_full |
Performance Prediction for Students: A Multi-Strategy Approach |
| title_fullStr |
Performance Prediction for Students: A Multi-Strategy Approach |
| title_full_unstemmed |
Performance Prediction for Students: A Multi-Strategy Approach |
| title_sort |
performance prediction for students: a multi-strategy approach |
| publisher |
BULGARIAN ACADEMY OF SCIENCES |
| publishDate |
2017 |
| url |
http://repository.vnu.edu.vn/handle/VNU_123/60387 |
| _version_ |
1680966124500418560 |