[This topic is suitable as a project]
This master project is part of the iCore research program, which aims at exploring and developing different applications and content delivery systems for personalized mobile learning. In a learning system such as developed within the iCore research program, the learning content and entries are growing every day, including new forum entries, blog entries, changes of learning material, and many more. Furthermore, many data about students are available in the student model, such as their knowledge level, learning styles, interests, current location, and so on. This project aims at developing a mechanism which supports learners by highlighting relevant information/entries in the learning system based on the data in the student model. The mechanism receives feedback from students in two ways: indirect by tracking which information/messages students are interested even if they are not highlighted and direct by asking whether the highlighted information is useful for them. Based on this feedback and on the data in the student model, the mechanism will use an artificial intelligence approach in order to learn students? behavior and preferences and therefore incrementally improves its performance. The mechanism will be implemented, using technologies such as Java and PHP. The mechanism will be developed in a general way so that it is easy to use for different learning systems. |
