Prediction model students' performance in online discussion forum

Prediction is one of the most popular topic in Education Data Mining. Prediction is related to students' performance, which can be accurately observed through Educational Data Mining. Online discussion forum can utilize prediction modeling techniques to identify key predictors of students' academic performance by monitoring the progress of students with fully use of online discussion forum. In this paper, a new model in E-learning to predict students' performance in online discussion forum was proposed. This research was participated to 165 students in English for Librarians course by extracting and analyzing online discussion forum data from E-learning log in Open University, Indonesia. The result from analysis is used to determine which features in online discussion forum as the key indicator to predict students' performance. Course module instance list viewed, discussion created, discussion subscription created, discussion subscription deleted, discussion viewed, module course viewed, post created, post deleted, post updated, some content has been posted and user report viewed were the features to predicting students' performance.