Intelligent systems for engineers and scientists (2nd ed.)
Intelligent systems for engineers and scientists (2nd ed.)
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Self-Adjusting Curriculum Planning in Sherlock II
ICCAL '92 Proceedings of the 4th International Conference on Computer Assisted Learning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Student Modelling Based on Belief Networks
International Journal of Artificial Intelligence in Education
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Employing scaffolding is not new in education. In CBL systems, scaffolding has been used with different levels of adaptability. This paper describes a novel design for the Learner Model, which handles the effects of uncertainty formally in the Scaffolding process. We have used this design in our CBL system (LOZ) for learning Object-Z specification. Learners can easily modify the scaffolding process if they wish. They can inspect the underlying fuzzy model and its processes. We use the fuzzy logic theory for dynamic prediction. A time threshold is used to avoid unnecessary dynamic prediction. The proposed design is domain independent and may be used for a wide range of CBL systems with little modification. We conducted an evaluation based on pre-experimental design and the results were very encouraging.