User Modeling and User-Adapted Interaction
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Supporting Learning by Opening the Student Model
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Adapting Process-Oriented Learning Design to Group Characteristics
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Formation of Learning Groups by using Learner Profiles and Context Information
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
A model of learners profiles management process
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
INGRID: a web service tool for hierarchical open learner model visualization
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
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Computer supported learning systems such as Intelligent Tutoring Systems, web-based learning systems, etc. gather data from students' interaction. Teachers and students may find useful a medium to inspect information of students and student groups in an intuitive way. This paper presents DynMap+, an approach to generate and visualize Group Student Models generated from data gathered by a computer supported learning system. DynMap+ represents student models graphically by means of Concept Maps. Some graphical resources are used to highlight important data. The use of those resources allows DynMap+ to provide users (e.g. teachers) with a viewpoint that helps him/her to make decisions in order to improve the students learning process. The generated group student models record not only the last state of knowledge of the students but also their evolution during the learning sessions. As the knowledge of the students change over time, the updating of those models is also considered.