Rule-based expert systems for supporting university students

Engin, Gökhan and Aksoyer, Burak and Avdagiç, Melike and Bozanlı, Damla and Hanay, Umutcan and Maden, Deniz and Ertek, Gürdal (2014) Rule-based expert systems for supporting university students. In: 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), Moscow, Russia

[thumbnail of Engin, G., Aksoyer, B., Avdagic, M., Bozanlı, D., Hanay, U., Maden, M., Ertek, G. (2014) Rule-based expert systems for supporting university students. In Proceedings of 2nd International Conference on Information Technology and Quantitative Management,] PDF (Engin, G., Aksoyer, B., Avdagic, M., Bozanlı, D., Hanay, U., Maden, M., Ertek, G. (2014) Rule-based expert systems for supporting university students. In Proceedings of 2nd International Conference on Information Technology and Quantitative Management,)
ORACLE.pdf

Download (670kB)

Abstract

There are more than 15 million college students in the US alone. Academic advising for courses and scholarships is typically performed by human advisors, bringing an immense managerial workload to faculty members, as well as other staff at universities. This paper reports and discusses the development of two educational expert systems at a private international university. The first expert system is a course advising system which recommends courses to undergraduate students. The second system suggests scholarships to undergraduate students based on their eligibility. While there have been reported systems for course advising, the literature does not seem to contain any references to expert systems for scholarship recommendation and eligibility checking. Therefore the scholarship recommender that we developed is first of its kind. Both systems have been implemented and tested using Oracle Policy Automation (OPA) software.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: rule-based systems; expert systems; recommender systems; decision support systems; higher education; university education
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Q Science > QA Mathematics > QA076 Computer software
L Education > L Education (General)
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Gürdal Ertek
Date Deposited: 26 Sep 2014 11:14
Last Modified: 26 Apr 2022 09:15
URI: https://research.sabanciuniv.edu/id/eprint/24349

Actions (login required)

View Item
View Item