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An Intelligent Electronic Academic Advisor

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dc.contributor.author Rabeia, N. Abdleati
dc.contributor.author Khamisa, A. Yousef
dc.date.accessioned 2024-07-29T10:37:01Z
dc.date.available 2024-07-29T10:37:01Z
dc.date.issued 2019-02
dc.identifier.issn 0975-8887
dc.identifier.uri https://repository.uob.edu.ly/handle/123456789/2026
dc.description.abstract Academic advising is one of the important components in higher education. Advising can help students solve the academic problems they face during their study. In most world universities students select the courses that are most likely to meet their interests; therefore they need advising in choosing courses to complete their academic degrees. Academic advising is an essential element for an efficient learning process. This paper introduces an Intelligent Electronic academic advisor that adopts multi-agents technology using a recommendation system that switches between three recommendation techniques CF, CBF and KB, which helps students to decide which courses to take and presents academic advising for them. en_US
dc.language.iso en en_US
dc.publisher Benghazi University en_US
dc.subject Academic Advising, en_US
dc.subject Recommender System (RS), en_US
dc.subject Multi agent system (MAS) en_US
dc.title An Intelligent Electronic Academic Advisor en_US
dc.type Working Paper en_US


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