What Can Instructors and Policy Makers Learn about Web-supported Learning through Web-mining
This paper focuses on a Web-log based tool for evaluating pedagogical processes occurring in Websupported 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.
Web mining Computational measures Campus wide Web-supported learning
Anat Cohen Rafi Nachmias
Tel Aviv University Tel Aviv,Israel
国际会议
上海
英文
193-198
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）