A two-phase fuzzy mining and learning algorithm for adaptive learning environment

Chang Jiun Tsai, S. S. Tseng, Chih Yang Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

48 引文 斯高帕斯(Scopus)

摘要

As computer-assisted instruction environment becomes more popular over the world, the analysis of historical learning records of students becomes more important. In this work, we propose a Two-Phase Fuzzy Mining and Learning Algorithm, integrating data mining algorithm, fuzzy set theory, and look ahead mechanism, to find the embedded information, which can be provided to teachers for further analyzing, refining or reorganizing the teaching materials and tests, from historical learning records.

原文???core.languages.en_GB???
主出版物標題Computational Science – ICCS 2001 - International Conference, Proceedings
編輯Vassil N. Alexandrov, Jack J. Dongarra, Benjoe A. Juliano, Rene S. Renner, C.J. Kenneth Tan
發行者Springer Verlag
頁面429-438
頁數10
ISBN(列印)3540422331, 9783540422334
DOIs
出版狀態已出版 - 2001
事件International Conference on Computational Science, ICCS 2001 - San Francisco, United States
持續時間: 28 5月 200130 5月 2001

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2074
ISSN(列印)0302-9743
ISSN(電子)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???International Conference on Computational Science, ICCS 2001
國家/地區United States
城市San Francisco
期間28/05/0130/05/01

指紋

深入研究「A two-phase fuzzy mining and learning algorithm for adaptive learning environment」主題。共同形成了獨特的指紋。

引用此