Finding key integer values in many features for learners' academic performance prediction

Yudai Tanabe, Koki Kagari, Yuki Kitanaka, Kazuhiro Takeuchi, Sachio Hirokawa

研究成果: 著書/レポートタイプへの貢献会議での発言

1 引用 (Scopus)

抄録

In recent years, along with the proliferation of the learning management system (LMS), a large amount of data regarding the interaction between the system and the learners has been accumulated. Correspondingly, various data mining methods have been applied to these data. In order to employ a suitable computational model that is at the core of the data mining method and is not automatically acquired by the mining method itself, it is important to make or find various reasonable hypotheses for target variables. In this paper, we propose a method for analyzing closely the degree to which the explanatory variables represented in integer value contributes to predicting categorical objective variables, such as a learner's academic performance. Specifically, we describe that a decision tree combining support vector machines (SVM) achieves accuracy consistent with existing research, and it contributes further extraction of particular explanatory values from the integer features. Before making a model with SVM, our proposal method expands original features represented by integer value to corresponding binary features. With this expansion of original features, we can identify the key values that closely relate to a learner's academic performance from behavioral features gathered from LMS. Identifying such key values in specific features plays an important role in developing a hypothesis that explains the objective variables, using them as explanatory variables. We believe that closer analysis of these key explanatory values will find latent knowledge that can improve learners' academic abilities.

元の言語英語
ホスト出版物のタイトルProceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017
出版者Association for Computing Machinery
ページ167-171
ページ数5
ISBN(電子版)9781450354356
DOI
出版物ステータス出版済み - 12 20 2017
イベント9th International Conference on Education Technology and Computers, ICETC 2017 - Barcelona, スペイン
継続期間: 12 20 201712 22 2017

その他

その他9th International Conference on Education Technology and Computers, ICETC 2017
スペイン
Barcelona
期間12/20/1712/22/17

Fingerprint

Support vector machines
Data mining
Decision trees

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

これを引用

Tanabe, Y., Kagari, K., Kitanaka, Y., Takeuchi, K., & Hirokawa, S. (2017). Finding key integer values in many features for learners' academic performance prediction. : Proceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017 (pp. 167-171). Association for Computing Machinery. https://doi.org/10.1145/3175536.3175551

Finding key integer values in many features for learners' academic performance prediction. / Tanabe, Yudai; Kagari, Koki; Kitanaka, Yuki; Takeuchi, Kazuhiro; Hirokawa, Sachio.

Proceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017. Association for Computing Machinery, 2017. p. 167-171.

研究成果: 著書/レポートタイプへの貢献会議での発言

Tanabe, Y, Kagari, K, Kitanaka, Y, Takeuchi, K & Hirokawa, S 2017, Finding key integer values in many features for learners' academic performance prediction. : Proceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017. Association for Computing Machinery, pp. 167-171, 9th International Conference on Education Technology and Computers, ICETC 2017, Barcelona, スペイン, 12/20/17. https://doi.org/10.1145/3175536.3175551
Tanabe Y, Kagari K, Kitanaka Y, Takeuchi K, Hirokawa S. Finding key integer values in many features for learners' academic performance prediction. : Proceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017. Association for Computing Machinery. 2017. p. 167-171 https://doi.org/10.1145/3175536.3175551
Tanabe, Yudai ; Kagari, Koki ; Kitanaka, Yuki ; Takeuchi, Kazuhiro ; Hirokawa, Sachio. / Finding key integer values in many features for learners' academic performance prediction. Proceedings of the 9th International Conference on Education Technology and Computers, ICETC 2017. Association for Computing Machinery, 2017. pp. 167-171
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