| Presentation | 1997/12/20 SEBLE: Supportive Exercise Based Learning Environment Ban KAKU, Fumio AOKI, Tetsuya MATSUMOTO, Zentaro KOIDE, Koichi SUGIMOTO, Norimichi KOJO, Masakazu AKIMOTO, Hideki UCHIMURA, Hiroyuki FURUYA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An intelligent learning environment must be able to catch learners' capabilities and conditions correctly, and to provide adaptive decision, guidance and assistance timely as they need. For these purposes, we designed and implemented such a learning environment called SEBLE (Supportive Exercise- Based Learning Environment). which enables the supportive learnings with case-based answer prediction, learner knowledge model inference, cognitive feature modeling. adaptive support message generation, auto-modified error fix assistance selection and learner-oriented difficulty evaluation. In this paper. the system architecture and supportive learning flow are mentioned, the architectures and systemization of above technologies, also how they work are described. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Supportive Learning Environment / Exercise-Based Learning / Case-Based Reasoning / Knowledge Model / Cognitive Feature / Neural-Network Reasoning / Error fix Scheme / Answer Prediction |
| Paper # | ET97-85 |
| Date of Issue |
| Conference Information | |
| Committee | ET |
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| Conference Date | 1997/12/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
| Secretary | |
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| Paper Information | |
| Registration To | Educational Technology (ET) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | SEBLE: Supportive Exercise Based Learning Environment |
| Sub Title (in English) | |
| Keyword(1) | Supportive Learning Environment |
| Keyword(2) | Exercise-Based Learning |
| Keyword(3) | Case-Based Reasoning |
| Keyword(4) | Knowledge Model |
| Keyword(5) | Cognitive Feature |
| Keyword(6) | Neural-Network Reasoning |
| Keyword(7) | Error fix Scheme |
| Keyword(8) | Answer Prediction |
| 1st Author's Name | Ban KAKU |
| 1st Author's Affiliation | Software Research Laboratory() |
| 2nd Author's Name | Fumio AOKI |
| 2nd Author's Affiliation | Software Research Laboratory |
| 3rd Author's Name | Tetsuya MATSUMOTO |
| 3rd Author's Affiliation | Software Research Laboratory |
| 4th Author's Name | Zentaro KOIDE |
| 4th Author's Affiliation | Software Research Laboratory |
| 5th Author's Name | Koichi SUGIMOTO |
| 5th Author's Affiliation | Software Research Laboratory |
| 6th Author's Name | Norimichi KOJO |
| 6th Author's Affiliation | Software Research Laboratory |
| 7th Author's Name | Masakazu AKIMOTO |
| 7th Author's Affiliation | Software Research Laboratory |
| 8th Author's Name | Hideki UCHIMURA |
| 8th Author's Affiliation | Software Research Laboratory |
| 9th Author's Name | Hiroyuki FURUYA |
| 9th Author's Affiliation | Software Research Laboratory |
| Date | 1997/12/20 |
| Paper # | ET97-85 |
| Volume (vol) | vol.97 |
| Number (no) | 464 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |