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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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-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 implementation, first on a sample course and next on 3, 453 course Websites at Tel-Aviv University.

Original languageEnglish
Title of host publicationICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
PagesV3193-V3198
DOIs
StatePublished - 2010
Event2010 2nd International Conference on Education Technology and Computer, ICETC 2010 - Shanghai, China
Duration: 22 Jun 201024 Jun 2010

Publication series

NameICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
Volume3

Conference

Conference2010 2nd International Conference on Education Technology and Computer, ICETC 2010
Country/TerritoryChina
CityShanghai
Period22/06/1024/06/10

Keywords

  • Campus wide
  • Computational measures
  • Web mining
  • Web-supported learning

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