Automatic generation of emotions in tutoring agents for affective e-learning in medical education
Expert Systems with Applications: An International Journal
Rule-Based reasoning for building learner model in programming tutoring system
ICWL'11 Proceedings of the 10th international conference on Advances in Web-Based Learning
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In this paper, after the discussion of user models and ontology-based domain knowledge representation in intelligent tutoring systems, a formal model of intelligent pedagogical agents is presented and the teaching processes of these agents is analyzed. Domain knowledge are represented based on ontologies to improve the sharing and reusing of teaching materials; and user models are constructed according to learners’ psychology characteristics, knowledge levels, etc., in order to improve the self-adaptability and pedagogical effects. Based on user models and domain knowledge, intelligent pedagogical agents design formally the teaching processes for learners and these teaching processes are discussed in detail to show that they are practicable.