Modeling of the students scenario on a learning course

Yuji Shinoda, Kenji Yoshida, Hirotaka Nakayama

研究成果: Conference contribution

1 引用 (Scopus)

抄録

Adjusting the content to each student is a major issue in e-Learning. From this viewpoint, a learning course as a series of content also must be adjusted according to the performance of the students. We propose a method that combines clustering and decision tree learning for constructing scenarios of the students' actions. The global statuses of the students are reflected to the clusters, and the local and sequential actions of the students are reflected to the decision trees. The results of e-Learning tests gathered from Japanese junior high school students was processed by our proposed method. We graded the clusters by adaptation to the trees, and selected a set of clusters as a scenario for the students. These scenarios have a possibility of aiding the adjustment, and revision of learning courses.

元の言語English
ホスト出版物のタイトルKnowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings
ページ573-579
ページ数7
5177 LNAI
エディションPART 1
DOI
出版物ステータスPublished - 2008
外部発表Yes
イベント12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb
継続期間: 2008 9 32008 9 5

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
5177 LNAI
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
Zagreb
期間08/9/308/9/5

Fingerprint

Electronic Learning
Students
Decision tree
Scenarios
Modeling
Decision trees
Adjustment
Clustering
Series
Learning

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

これを引用

Shinoda, Y., Yoshida, K., & Nakayama, H. (2008). Modeling of the students scenario on a learning course. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings (PART 1 版, 巻 5177 LNAI, pp. 573-579). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 5177 LNAI, 番号 PART 1). https://doi.org/10.1007/978-3-540-85563-7-73

Modeling of the students scenario on a learning course. / Shinoda, Yuji; Yoshida, Kenji; Nakayama, Hirotaka.

Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. 巻 5177 LNAI PART 1. 編 2008. p. 573-579 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 5177 LNAI, 番号 PART 1).

研究成果: Conference contribution

Shinoda, Y, Yoshida, K & Nakayama, H 2008, Modeling of the students scenario on a learning course. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 1 Edn, 巻. 5177 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 番号 PART 1, 巻. 5177 LNAI, pp. 573-579, 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, Zagreb, 08/9/3. https://doi.org/10.1007/978-3-540-85563-7-73
Shinoda Y, Yoshida K, Nakayama H. Modeling of the students scenario on a learning course. : Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. PART 1 版 巻 5177 LNAI. 2008. p. 573-579. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-540-85563-7-73
Shinoda, Yuji ; Yoshida, Kenji ; Nakayama, Hirotaka. / Modeling of the students scenario on a learning course. Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings. 巻 5177 LNAI PART 1. 版 2008. pp. 573-579 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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