@inproceedings{f8266d7db79e4bbaa300720b2e32654c,
title = "Modeling of the students scenario on a learning course",
abstract = "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.",
keywords = "Clustering, Decision Tree, E-learning, K-means, User model",
author = "Yuji Shinoda and Kenji Yoshida and Hirotaka Nakayama",
note = "Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 ; Conference date: 03-09-2008 Through 05-09-2008",
year = "2008",
doi = "10.1007/978-3-540-85563-7_73",
language = "English",
isbn = "3540855629",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "573--579",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 12th International Conference, KES 2008, Proceedings",
edition = "PART 1",
}