Presentation 2015-03-14
Evaluation of Attribute Presentation Method for Topic Decomposition in Investigative Learning with Web Resources
Keita KINOSHITA, Akihiro KASHIHARA,
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Abstract(in English) Investigative learning with Web resources requires learners to find out relate topics to be further investing and decompose the topic into the related topics as sub-topics while navigating Web resources/pages to construct knowledge for learning the topic. However, finding out the related topics from Web resources/pages is not so easy for them. In this study, we propose the attributes presentation method, which present the attributes representing the semantic relationships between a topic and its contents to be learned to the learners. We also evaluate the effectiveness of the method in promoting topic decomposition and learning with various viewpoints.
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Keyword(in English) attributes / investigative learning / iPad / learning scenario / scaffolding / Web
Paper # ET2014-99
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Committee ET
Conference Date 2015/3/7(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Attribute Presentation Method for Topic Decomposition in Investigative Learning with Web Resources
Sub Title (in English)
Keyword(1) attributes
Keyword(2) investigative learning
Keyword(3) iPad
Keyword(4) learning scenario
Keyword(5) scaffolding
Keyword(6) Web
1st Author's Name Keita KINOSHITA
1st Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications()
2nd Author's Name Akihiro KASHIHARA
2nd Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications
Date 2015-03-14
Paper # ET2014-99
Volume (vol) vol.114
Number (no) 513
Page pp.pp.-
#Pages 6
Date of Issue