CRIS: A Rule-Based Approach for Customized Academic Advising
This study presents a customized academic e-advising service by using rule-based technology to provide each individual learner for recommending courses for college students in Taiwan. Since academic advising for taking courses is mostly by advisors to assist students to achieve educational, career, and personal goals, which made it important in the higher education system. To enhance the counseling effectiveness for advisors to assist students in fitting their professional field and improve their learning experience, we proposed an application system, called CRIS (course recommendation intelligent system). The CRIS consists of six functions: academic profile review, academic interest analysis, career and curriculum matchmaking, recommend courses analysis, department recommend analysis and record assessment. This work provides the solution in three layers, data layer, processing layer and solution layer, via four steps: (1) database design and data transfer, (2) student profile analysis, (3) customized academic advising generation and (4) solution analysis. A comparison of academic score and the combination of individual students' interest in learning and academic achievement satisfaction survey are conducted to test the effectiveness. The experiment result shows that the participating college students considered that the CRIS helpful in their adjustment to the university and it increased their success at the university.