Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
| Hi-index | 0.01 |
The knowledge of students enables an e-learning system to provide individualized lessons for each student. This paper presents the use of web usage mining method to discover the knowledge of students from their usage sequences. The structure of lessons offered by an e- learning system can be used as website ontology to facilitate usage mining. We also present a framework for representing assessment results and usage patterns by a hierarchy of flow graphs, which can be used as decision algorithms for evaluating relationships between usage patterns and performance of students. Usage patterns can be translated into decision rules or trees for predicting student performance and for providing timely lessons.