[This topic is suitable as a project]
Once many learners are using an educational system, lots of information can be gathered about students' preferences and behaviors in this system. When aiming at providing adaptivity in such systems, this information can be used. While typical adaptive systems focus mainly on each learner and provide each learner with learning material or courses that fits to his/her preferences and characteristics, this project aims at investigating how information from previous learners can be used to provide subsequent learners with adaptivity and recommendations. Based on a literature review, suitable characteristics of learners will be selected (such as learning styles, cognitive abilities, and so on) for classifying learners and building a community student model. Subsequently, a concept for drawing conclusions from students? preferences and behaviour will be developed and an application/service will be implemented accordingly using technologies such as Java and PHP. The project will result in an application/service for the iCORE research program, which aims at exploring and developing different applications and content delivery systems for personalized mobile learning. The master project will use the information available from applications and systems of the iCORE research program in order to fill the community student model and provide adaptivity and recommendations for current learners. However, the application/service will be developed in a generic way so that it can be used also for other learning systems. |
