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New Technology of Library and Information Service  2010, Vol. 26 Issue (1): 88-93    DOI: 10.11925/infotech.1003-3513.2010.01.16
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Study on Automatic Quantitative Evaluation of Web Course Resources
Wang Man   Xu Chaojun
(Department of Educational Technology, Nanjing Normal University, Nanjing 210097,China)
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This paper imports data mining and information extraction techniques, introduces Web course resources quantitative evaluation index, and builds a model for quantitative evaluation system for real-time tracking and monitoring key indicators, which exports data as the supplementary of expert subjective evaluation. Preliminary experiment shows that this quantitative evaluation has a strong objectivity and feasibility.

Key wordsWeb course      Data mining      Information extraction     
Received: 25 December 2009      Published: 25 January 2001


Corresponding Authors: Wang Man     E-mail:
About author:: Wang Man,Xu Chaojun

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Wang Man,Xu Chaojun. Study on Automatic Quantitative Evaluation of Web Course Resources. New Technology of Library and Information Service, 2010, 26(1): 88-93.

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