Elmadani, M.Mathews, M.Mitrovic, Antonija2013-02-032013-02-032012Elmadani, M., Mathews, M., Mitrovic, A. (2012) Data-driven misconception discovery in constraint-based intelligent tutoring systems. Singapore: 20th International Conference on Computers in Education (ICCE), 26-30 Nov 2012. 9-16.978-981-07-4649-0http://hdl.handle.net/10092/7399Students often have misconceptions in the domain they are studying. Misconception identification is a difficult task but allows teachers to create strategies to appropriately address misconceptions held by students. This project investigates a data-driven technique to discover students' misconceptions in interactions with constraint-based Intelligent Tutoring Systems(ITSs). This analysis has not previously been done. EER-Tutor is one such constraint-based ITS, which teaches conceptual database design using Enhanced Entity-Relationship (EER) data modelling. As with any ITS, a lot of data about each student's interaction within EER-Tutor are available: as individual student models, containing constraint histories, and logs, containing detailed information about each student action. This work can be extended to other ITSs and their relevant domains.enMisconceptionsdata miningconstraint-based modelingConference Contributions - PublishedField of Research::08 - Information and Computing Sciences::0806 - Information Systems::080602 - Computer-Human InteractionField of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080105 - Expert SystemsFields of Research::39 - Education::3904 - Specialist studies in education::390405 - Educational technology and computing