Personalizing Digital Libraries for Education
نویسندگان
چکیده
E-Learning Systems enable students to work with electronic teaching materials, to join online courses, to pass tests, and to communicate with other students or instructors. An important requirement of this systems is the integration of external knowledge management resources into them. The digital libraries are helpful to this purpose because materials of many digital libraries are valuable for learning. The availability of teaching materials provided by an E-Learning Systems can be enlarged by reverting to materials existing in several digital libraries. In this case, it is necessary to find the right document source and to supply the suitable documents basing on the student requirements, also when the student model of the e-learning system is still not available. In this paper, we have focused our attention on the use of user profiles, generated by a personalization system (the Profile Extractor), to improve searching among digital libraries or other generic information sources.
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