What can instructors and policy makers learn about Web-supported learning through Web-usage mining

This paper focuses on a Web-log based tool for evaluating pedagogical processes occurring in Web-supported academic instruction and students' attitudes. The tool consists of computational measures which demonstrate what instructors and policy makers can learn about Web-supported instruction thr...

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Bibliographic Details
Published in:The Internet and higher education 2011-03, Vol.14 (2), p.67-76
Main Authors: Cohen, Anat, Nachmias, Rafi
Format: Article
Language:English
Subjects:
Attitudes
Campus-wide
College Instruction
Computational measures
Computer Software
Cost Effectiveness
Course Content
Course Evaluation
Data Collection
Educational Policy
Evaluation Methods
Feedback
Feedback (Response)
Foreign Countries
Israel
Learning
Measurement Techniques
Mining
Outcomes of Education
Policy makers
Program Effectiveness
Program Implementation
Student Attitudes
Use Studies
Web Based Instruction
Web Sites
Web-supported learning
Web-usage mining
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Summary:This paper focuses on a Web-log based tool for evaluating pedagogical processes occurring in Web-supported academic instruction and students' attitudes. The tool consists of computational measures which demonstrate what instructors and policy makers can learn about Web-supported instruction through Web-usage mining. The tool can provide different measures and reports for instructors at the micro level, and for policy makers at the macro level. The instructors' reports provide feedback relating to the pedagogical processes in their course Websites in comparison to other similar courses on campus. The policy makers' reports provide data about the extent of use of course Websites across the campus, the benefits of such use, and the return on investment. This paper describes the tool and its computational measures as well as its implementation, first on a sample course and next on 3453 course Websites at Tel-Aviv University.
ISSN:1096-7516
1873-5525
DOI:10.1016/j.iheduc.2010.07.008