Presentation | 2014-09-27 An algorithm for generating personalized learning processes based on the relation between learning items and its improvement Hiyori YOSHIKAWA, Hiroshi HIRAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In e-Learning, a learning system must recommend a learner the learning item which he/she is ready to learn. Thus the learning system needs to know in advance the whole structure of all possible knowledge states of learners. Knowledge space and learning space, introduced by Doignon and Falmagne, are mathematical models which represent such structure. The previous algorithm to construct knowledge spaces, QUERY routine, is to update the knowledge space according to the answers of queries to an expert. This algorithm requires a huge number of queries, and in the middle does not necessarily output a learning space, which is desirable for a practical use. In this article, we show the existence of the unique maximal learning space inside a knowledge space. We also characterize a binary relation which represents learning spaces. Finally we give a naive algorithm to obtain the maximal learning space inside a knowledge space. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | e-Learning / active learning / expert system / knowledge space / Horn function / algorithm |
Paper # | ET2014-34 |
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Committee | ET |
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Conference Date | 2014/9/20(1days) |
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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) | An algorithm for generating personalized learning processes based on the relation between learning items and its improvement |
Sub Title (in English) | |
Keyword(1) | e-Learning |
Keyword(2) | active learning |
Keyword(3) | expert system |
Keyword(4) | knowledge space |
Keyword(5) | Horn function |
Keyword(6) | algorithm |
1st Author's Name | Hiyori YOSHIKAWA |
1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
2nd Author's Name | Hiroshi HIRAI |
2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
Date | 2014-09-27 |
Paper # | ET2014-34 |
Volume (vol) | vol.114 |
Number (no) | 228 |
Page | pp.pp.- |
#Pages | 6 |
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