Student model representation for pedagogical virtual mentors

The paper concerns technological aspects of virtual mentors construction, especially concentrating on the student model representation. The article distinguishes several types of information that is gathered by the pedagogical agents and other educational platforms, including student knowledge model, student progress tracking, interaction process patterns and learner preferences. A set of technologies used for the student model representation is also mentioned. In the paper a three-level student model framework that can be applied in educational agents is proposed. The model is intended to manage complexity of a student model for adaptive, intelligent and affective agents. The article provides an example of the model application in GERDA educational agent that is developed in the research project held by the author. The student model representation may be applied in virtual mentors as well as other e-learning software, especially in Intelligent Tutoring Systems.