To monitor and enhance the learning performance of learning groups in a Web learning system, teachers need to know the learning status of the group and determine the key influences affecting group learning outcomes. Teachers can achieve this goal by observing the group discussions and learning behavior from Web logs and analyzing the Web log data…

Proposes a novel methodology that employs Bayesian network software to assist teachers in efficiently deriving and utilizing the student model of activity performance from Web portfolios online. This system contains Web portfolios that record in detail students' learning activities, peer interaction, and knowledge progress. (AEF)

Discusses the use of Web logs to record student behavior that can assist teachers in assessing performance and making curriculum decisions for distance learning students who are using Web-based learning systems. Adopts decision tree and data cube information processing methodologies for developing more effective pedagogical strategies. (LRW)

Proposes a Web-based model as the infrastructure to store learning logs for analysis in distance education. Describes the method of using query language to retrieve information from a database to construct the data cube. Illustrates data-cube implementation with a group-discussion example. Shows how data-cube technology can solve the recording and…