Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement
Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement
Information Visualization: Design for Interaction (2nd Edition)
Information Visualization: Design for Interaction (2nd Edition)
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AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
STyLE-OLM: Interactive Open Learner Modelling
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International Journal of Artificial Intelligence in Education
The Role of Technology in CSCL: Studies in Technology Enhanced Collaborative Learning
The Role of Technology in CSCL: Studies in Technology Enhanced Collaborative Learning
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1
Supporting Learners in Adaptive Learning Environments through the Enhancement of the Student Model
Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains
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The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to enable some functionalities, to the gathering of user behaviors, collected as log files generated by software applications. In the field of Technology Enhanced Learning the creation of a user profile is necessary in order to fulfill some didactical tasks, such as measuring the degree of participation to a course, or the performance on quizzes and assignments. The task of collecting students' data is normally performed by Learning Management Systems, which also provide with a way to explore this data. Our approach extends the information that models user profiles in Learning Management Systems with data coming from other online resources, such as social network websites. In this paper, we describe our idea of opening the learners' profile, eventually for integrating it with external on-line resources. The ultimate goal of our work is to create graphical indicators for the profile of the learners that take into account internal and external user data, in order to have a more complete and comprehensive view of user behaviors in Learning Management Systems.