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E-learning: A key issue in pedagogy is individualization, i.e., adapting the teaching to the needs of various learners. In many cases, however, IT supported education has so far focussed most on porting existing courses with traditional teaching methods onto the web, just making non-individualized teaching even more widely available. The semantic web has potential regarding the creation of more intelligent e-learning applications, providing individualization without a prohibitive increase in man-power. Some preliminary ideas:
• Make models of subjects, in terms of what knowledge the subject comprises
• Make models of courses or teaching/learning resources, in terms of what subjects they address (learning goals, topic matter, skills), as well as available teaching methods
• Make models of each student, i.e., a defined and gradually updated profile showing hers/his background knowledge, short-term and long-term learning needs, preferences in terms of teaching methods, and constraints, e.g., in terms of time and money. All of this may vary highly between, e.g., a full-time student taking a full course and an industry consultant seeking urgent update on a specific topic.
If these representations are semantically interoperable, it should be possible for an e-learning application to match them to package an optimal learning process for each student, including guidelines on how to evaluate that the individual learning needs are being met.
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