Presentation 2008-07-19
Development of the Report Evaluation Support System by using Neural Network for Exercises
Hiroyuki WATANABE,
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Abstract(in English) In classes with experiments or exercises at the university, most teachers require the students to write a report. For the evaluation of the report written with the student's own understanding and thinking, it is necessary that possible copied reports are searched by calculating the degrees of similarity, and that original reports are evaluated by the counting of keywords. However, when the teacher tries to do this work fairly, he needs much time and hard work. In this research, copied reports are searched by the one pair comparison method and TF・IDF method. The original report with a lack of consideration or with good consideration is evaluated by the counting of keywords in the sentences. Furthermore, the model data for the neural network is made from these data. The score of the report is evaluated in 5 steps by the development of this evaluation support system. The report of the experiment which was submitted by the text file could predict the score within the error of 15% by the neural networks, compared to manual operation.
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Keyword(in English) Report / Neural Network / Evaluation of 5 Steps / Evaluation Support System
Paper # ET2008-18
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Committee ET
Conference Date 2008/7/12(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) Development of the Report Evaluation Support System by using Neural Network for Exercises
Sub Title (in English)
Keyword(1) Report
Keyword(2) Neural Network
Keyword(3) Evaluation of 5 Steps
Keyword(4) Evaluation Support System
1st Author's Name Hiroyuki WATANABE
1st Author's Affiliation College of Engineering, Nihon University()
Date 2008-07-19
Paper # ET2008-18
Volume (vol) vol.108
Number (no) 146
Page pp.pp.-
#Pages 6
Date of Issue