Research in Computing Science, Vol. 56, pp. 53-60, 2012.
Abstract: The knowledge representation model called The Memory Map [1] was used to represent the expert and student modules of college courses. The students and expert modules were compared and the differences were used to personalize the sequence of learning activities for each student. The personalization scheme is designed to detect secondary knowledge gaps (concepts required to understand more complex concepts), and to estimate the correct time and place where a learning activity should be introduced. An implementation of the model was used in to represent a course to see what impact the personalization had on the students. The model was also used to represent the expert domain of an Intelligent Tutoring System.
Keywords: Knowledge representation, competences, skills, learning
PDF: The Memory Map Model used for Personalization in Intelligent Learning Environments
PDF: The Memory Map Model used for Personalization in Intelligent Learning Environments