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Title: Application of Case Based Recommender System to Advise Students in Field of Study Selection at Higher Education in Ethiopia
???metadata.dc.contributor.*???: Dr. Gashaw Kebede
Biazen, Getnet
Keywords: Information science
Issue Date: Jan-2013
Publisher: Addis Ababa University
Abstract: Using recommender systems with the help of computer systems technology to support the academic advising process offers many advantages over the traditional student advising system. One of the main problems faced by students is to take the right decision in relation to field of study selection process based on available information. The objective of this research is to develop a prototype case base recommender system that assists the students in their field of study selection process. The system provides recommendation to the students based on previously solved cases and new query given by the student. For this study, about 105 cases which are collected from successful students and 13 attributes which are collected from experts are used as case base. These attributes and cases are used as knowledge base to construct case base recommender. The system calculates similarity between existing case and new queries that are provided by the students and provides solution or recommendation by taking best cases to the new query. This recommendation enables students to make decision easily. In this study, JCOLIBRI case base development tool is used to develop the prototype of case based recommender system. JCOLIBRI contains both user interface which enables students to enter their query and programming codes with the help of Java script language. After developing the prototype of the system, testing of the prototype for case base recommender system was done to evaluate the performance of the system. Based on prototype testing, the average performance of the system is 77.2% and 80.2% by the domain experts and students respectively. Using field of study selection recommender system for students helps them to make decision easily to select appropriate field of study based on their interest and background information. The researcher recommends for the future work to improve the system that can recommend university as well as field of study selection by providing detail information about each selection
Description: A Thesis Submitted to the School of Gradute Studies of Addis Ababa University in Partial Fulfilment of the Requirement for the Degree of Master of Sciences in Information Science
Appears in Collections:Thesis - Information Science

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