Considering Human Memory Aspects for Adaptation and Its Realization in AHA!

  • Mária Bieliková
  • Peter Nagy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4227)


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.


Domain Model Human Memory Information Item Sensory Memory Memory Attribute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mária Bieliková
    • 1
  • Peter Nagy
    • 1
  1. 1.Institute of Informatics and Software Engineering, Faculty of Informatics and Information TechnologiesSlovak University of TechnologyBratislavaSlovakia

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