Development of intellectual LMS that has the advanced data-mining function of the study history in e-Learning
| Project/Area Number |
16300265
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Nagaoka University of Technology |
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Principal Investigator |
UENO Maomi Nagaoka University of Technology, Faculty of Engineering, Associate Professor, 工学部, 助教授 (50262316)
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| Co-Investigator(Kenkyū-buntansha) |
NAGAMORI Masahito Nagaoka University of Technology, Faculty of Engineering, Research Associate, 工学部, 助手 (80334697)
ANDO Masahiro Nagaoka University of Technology, Faculty of Engineering, 工学部, 教務職員 (00345539)
MIKAMI Yoshiki Nagaoka University of Technology, Faculty of Engineering, Professor, 工学部, 教授 (70293264)
NAGAOKA Keizo Waseda University, Faculty of Human Science, Professor, 人間科学学術院, 教授 (90127382)
AKAKURA Takako Tokyo University of Science, Faculty of Science and Technology, Professor, 理工学部, 教授 (80212398)
中平 勝子 長岡技術科学大学, eラーニング研究実践センター, 助手 (80339621)
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| Project Period (FY) |
2004 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥14,400,000 (Direct Cost: ¥14,400,000)
Fiscal Year 2005: ¥4,800,000 (Direct Cost: ¥4,800,000)
Fiscal Year 2004: ¥9,600,000 (Direct Cost: ¥9,600,000)
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| Keywords | e-Learning / Data Mining / Text Mining / Educational Technology |
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| Research Abstract |
This research reports the following : 1) The design of the structure of the learning histories data-base, 2) New data mining method for huge amount of the learning histories data for e-learning, and 3) a development of new LMS with a function of data mining for learning histories data. The details of the functions are as follows :
1) Online Detection of the learners with irregular learning processes
2) Online prediction function of future learner's state
3) Automatic construction of the learner model using the Bayesian belief network
4) Association Rule analysis of Learning histories data
5) On-line Gamma distribution analysis of learning time data
6) Online leaning agent using the data mining
Actually, we used this system to actual learners. The results show that the system is very effective.
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Report
(3 results)
Research Products
(22 results)
