Presentation 2007-07-21
A fuzzy estimation method of individual learners' strategies based on their learning sequence records(II) : An estimation algorithm of change process of their strategies
Tatsuya NAKAUCHI, Hidefumi KONDO, Makoto TAKEYA,
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Abstract(in English) One of the authors, previously, presented the Strategic Task Sequencing method, shortened to the STS method, based on an instructional structure graph. Contrary to this, he presented an estimation method for instructional strategy by using the STS method. This estimation method, shortened to the ESTS method, can be realized by introducing membership functions that represent characteristics of instructional strategies. However, strictly speaking, this method is not unified by Fuzzy Theory. In the case where the maximum of a membership function on a learner's learning sequence is equal to or less than the threshold (normal 0.8), it can be considered that the learner changed one strategy into another one on the way. Therefore, this paper presents an estimation algorithm of change process of his/her strategies.
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Keyword(in English) Sequencing / Instructional Structural Graph / Learning Strategy / Fuzzy Theory / Fuzzy decision-makin
Paper # ET2007-18
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Committee ET
Conference Date 2007/7/14(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A fuzzy estimation method of individual learners' strategies based on their learning sequence records(II) : An estimation algorithm of change process of their strategies
Sub Title (in English)
Keyword(1) Sequencing
Keyword(2) Instructional Structural Graph
Keyword(3) Learning Strategy
Keyword(4) Fuzzy Theory
Keyword(5) Fuzzy decision-makin
1st Author's Name Tatsuya NAKAUCHI
1st Author's Affiliation Faculty of Engineering, Takushoku University()
2nd Author's Name Hidefumi KONDO
2nd Author's Affiliation Faculty of Engineering, Takushoku University
3rd Author's Name Makoto TAKEYA
3rd Author's Affiliation Faculty of Engineering, Takushoku University
Date 2007-07-21
Paper # ET2007-18
Volume (vol) vol.107
Number (no) 155
Page pp.pp.-
#Pages 6
Date of Issue