Presentation 2011-10-15
Relationship between Factors of Note-taking Activity and Student Notes Assessment in Fully Online Learning Environment
Minoru NAKAYAMA, Koichi MUTSUURA, Hiroh YAMAMOTO,
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Abstract(in English) The relationship between the performance of note-takers and characteristics of students is determined in a fully online learning environment. Three factors of note-taking skills have been extracted, according to the survey. They are (1) Recognizing note taking functions, (2) Methodology of utilizing notes and (3) Presentation of notes. Student's notes were assessed by the lecturer, and two note-taking performance groups were created using the sums of the note-taking assessment scores. There are significant difference in factor scores for note-taking, personality, information literacy and learning experience between high and low level note-taking performance groups. Additionally, the sum of assessment scores for note-taking correlates with mean scores of online tests, the weekly confirmation test scores and with final exam scores. The three factor scores also correlate significantly with the scores of personalities, information literacy, and learning experiences.
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Keyword(in English) Note-taking / fully online learning / learner assessment / learning performance
Paper # ET2011-49
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Committee ET
Conference Date 2011/10/8(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) Relationship between Factors of Note-taking Activity and Student Notes Assessment in Fully Online Learning Environment
Sub Title (in English)
Keyword(1) Note-taking
Keyword(2) fully online learning
Keyword(3) learner assessment
Keyword(4) learning performance
1st Author's Name Minoru NAKAYAMA
1st Author's Affiliation Human System Science, Decision Science and Technology, Tokyo Institute of Technology()
2nd Author's Name Koichi MUTSUURA
2nd Author's Affiliation Faculty of Economics, Shinshu University
3rd Author's Name Hiroh YAMAMOTO
3rd Author's Affiliation Human System Science, Decision Science and Technology, Tokyo Institute of Technology
Date 2011-10-15
Paper # ET2011-49
Volume (vol) vol.111
Number (no) 237
Page pp.pp.-
#Pages 6
Date of Issue