Year: 2009
Type: conference-paper
Abstract: There are many problems happening with tertiary students such as enrolment and completion. Each student has faced with various problems to survive and succeed in higher education. Therefore, many universities have been promoting implementation of their information systems and services to aid their students and support academic management processes in various ways. This article explores the concept of Student Relationship Management (SRM) and how it effects on the university students. SRM is a key to provide the strategies to solve problems. Moreover, this article proposed the system architecture of intelligent recommendation system (IRS), which assists students to choose the course for their studies. The IRS has been designed using data mining and artificial intelligent techniques such as clustering, association rule and classification to make the recommendation system precisely. These techniques are used to access the performance of the system and provide the recommendations for students in universities.
Authors: K. Kongsakun, Jesada Kajornrit
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W1541545924