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Bài báo - Tạp chí
0 (2020) Trang: 36-41
Tạp chí: Hội thảo Quốc gia @2020

These days, relying on the traditional examination process, especially in high schools, is no longer the best solution for educating students, engaging their study attitudes, and keeping them improve self-study ability. The intelligent tutoring system is designed to aid teachers in multidisciplinary constructions of teaching materials. In this paper, the authors look at a real-world problem by proposing a system that helps high school students do multiplechoice examination better. First, the authors receive a dataset from a high school regarding the informatics course examinations. We then perform several machine learning algorithms to select one deployment candidate based on its high prediction performance. We have achieved a good accuracy of 98:93%0:25. Third, we integrate the learned model to a selfdeveloped intelligent tutoring system.

Các bài báo khác
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Tạp chí: Advances in Science, Technology and Engineering Systems Journal
(2019) Trang: 83-90
Tạp chí: the 2019 4th International Conference on Intelligent Information Technology
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Tạp chí: 3rd International Conference on Machine Learning and Soft Computing
Volume 10 Issue 1 (2019) Trang: 58-67
Tạp chí: Inter. J. of Advanced Computer Science and Applications, ISSN:2156-5570
 


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