Community Rating in the Tele-Lecturing Context

As the problem of easily and quickly generating tele-lecturing content has been solved and many tele-lecturing projects have been set up, new issues arise. The search amongst the video content is a major problem. It takes a long time for users to lter through all the videos available until they nd the learning content they are looking for. This paper describes a concept for the set-up of a rating functionality as the rst community feature to enhance search functionalities in tele-teaching portals. The utility of a rating feature is explained from the user perspective. Furthermore practical issues of applying a rating functionality for tele-teaching scenarios are illustrated. A method for calculating a mean rating across several layers of connected content items is suggested as well. Other elds of application for the newly generated rating data are proposed.