Optimising student cognitive load in computer education
ACSE '00 Proceedings of the Australasian conference on Computing education
User Modeling and User-Adapted Interaction
AHA! The adaptive hypermedia architecture
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
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Existing adaptive learning systems use various user characteristics for preparing personalized presentation of educational material for each user (a student). In the process of learning limited capacity of the human memory plays important role. The student often forgets part of knowledge acquired during the learning. In this paper we discuss implications of remembering and forgetting for the adaptive learning systems. We present a proposal of modeling forgetting process in adaptive learning systems that enables including knowledge repetition into an educational course. We implemented proposed model within the web-based adaptive system AHA! and demonstrate its viability on domain of learning English-Slovak vocabulary. This includes also a technique for inserting concepts for knowledge repeating into a running direct guided course. Using this technique it is possible to dynamically adapt the sequence of presented concepts to the actual state of the user model.