IEEE Transactions on Knowledge and Data Engineering
Knowledge map creation and maintenance for virtual communities of practice
Information Processing and Management: an International Journal
Individualization and Flexibility through Computer Algebra Systems in Virtual Laboratories
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
Proposing metrics of difficulty of domain knowledge using usecase diagrams
Proceedings of the 2008 ACM symposium on Applied computing
Eyes of a wiki: automated navigation map
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Hi-index | 0.00 |
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map. Then they propose three hypotheses of factors influencing difficulty based on the correlation between the difficulty level of knowledge units and the learning dependency. Finally, the authors provide algorithms for ranking the knowledge units with objective and subjective difficulty scores. The experiment on the knowledge map of the "plane geometry" course shows that our algorithm can precisely calculate the difficulty level of knowledge units.