Project/Area Number |
21500908
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Educational technology
|
Research Institution | Tokyo Denki University |
Principal Investigator |
WADA Yuji 東京電機大学, 情報環境学部, 教授 (30366398)
|
Co-Investigator(Kenkyū-buntansha) |
DOHI Shinichi 東京電機大学, 情報環境学部, 准教授 (00227703)
KONNO Noriko 東京電機大学, 情報環境学部, 准教授 (40349808)
MIYAKAWA Osamu 東京電機大学, 情報環境学部, 准教授 (30316632)
|
Co-Investigator(Renkei-kenkyūsha) |
SAWAMOTO Jun 岩手県立大学, ソフトウェア情報学部, 教授 (50438082)
|
Research Collaborator |
HAMADUME Yuuma 東京電機大学, 大学院・情報環境学研究科, 修士
SEGAWA Takuya 東京電機大学, 大学院・情報環境学研究科, 修士
KURIHARA Ryuuhei 東京電機大学, 大学院・情報環境学研究科, 修士
|
Project Period (FY) |
2009 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2011: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2010: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | 教育工学 / 授業学習支援 / データマイニング / レコメンデーション / コンテンツ / Eラーニング / 協調学習推薦システム / 情報推薦 / デジタル教材コンテンツ / 学習履歴 / 苦手科目 / アンケート分析 / 学習傾向 |
Research Abstract |
Existing e-learning systems do not show advantages, because of simply enumerating the teaching materials. In our developing "An Individual Reviewing System(AIRS)", optimal contents for learners are recommended using Collaborative Filtering method. However, Collaborative Filtering method has disadvantages in that unless sufficient historical data is available, recommendation may not be possible. To overcome this disadvantage, we first experimented and evaluated our proposed recommendation method called "Attribute Correlation Method". Then, we improved this method before developing a new approach named "Collaborative Attribute Method". Finally, we again evaluated its effectiveness.
|