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ACE '07 Proceedings of the ninth Australasian conference on Computing education - Volume 66
Constructing Stereotypes for an Adaptive e-Shop Using AIN-Based Clustering
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Personalized Teaching of a Programming language over the web: Stereotypes and rule-based mechanisms
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User Stereotypes for Student Modelling in Collaborative Learning: Adaptive Advice to Trainers
Proceedings of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
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User Modeling and User-Adapted Interaction
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ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
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Stereotypes are widely used in both Intelligent Teaching Systems and in a range of other teaching and advisory software. Yet the notion of stereotype is very loose. This paper gives a working definition of stereotypes for student modelling. The paper shows the role of stereotypes in classic approaches to student modelling via overlay, differential and buggy models.A scrutable student model enables learners to scrutinise their models to determine what the system believes about them and how it determined those beliefs. The paper explores the ways that scrutable stereotypes can provide a foundation for learners to tune their student models and explore the impact of the student model. Linking this to existing work, the paper notes how scrutable stereotypes might support reflection and metacognition as well as efficient, learner-controlled student modelling.