Dichotomic Node Network and Cognitive Trait Model
ICALT '04 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Knowledge modeling -- State of the art
Integrated Computer-Aided Engineering
A source activation theory of working memory: cross-task prediction of performance in ACT-R
Cognitive Systems Research
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Information about the student in student model is the basis for virtual learning environments to provide the necessary adaptation. Cognitive Trait Model (CTM) profiles the student based on cognitive traits, such as his/her working memory capacity and inductive reasoning ability. Performance-based adaptation can guide the student to the required concept, whereas cognitive support serves to prevent the student's cognitive overload while still representing sufficient challenges to the student. This paper describes the synergy of a performance-based student model and CTM in an intelligent tutoring system called DP-ITS.