A semantic-web based framework for adaptive selection of learning objects during the authoring process
نویسندگان
چکیده
Semantic Web technology has been proposed as a key to enhance several aspects of elearning, such as annotation and adaptation to the students’ needs. Based on the same technology, we propose an approach to assist teachers in the process of selecting learning objects to build their own courses. We explicitly take into account teacher’s knowledge, experience and teaching style to maximize the likelihood of finding the best suited teaching material.
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