Course Evaluation Method Based on Fractional Correlation Distance and AHP

Abstract

Course evaluation is an important and necessary means to improve the level of course. A new course evaluation method based on fractional grey relational distance and analytic hierarchy process (AHP) is proposed in this paper. Firstly, the proportion of the different influence factors can be determined through constructing judging-matrix and calculating-back-to-one and dealing with the checkout of coherence. Secondly, qualitative evaluation indicators are quantified by fractional-order system, and quantitative indicators are processed by idealization and normalization. And then association coefficient is defined. Finally, correlation distance degree is proposed. The new similarity degree reflects the relatedness and the different shape among a selected scheme, the ideal solution and negative ideal solution. Through the application to actual course assessment instance, the results show its practicability and effectiveness.

Comparison on Major Courses Setting for Graduates of Mechanical Engineering in Domestic-foreign Universities

“…Course evaluation is the process of professional institutions and personnel selecting appropriate methods for qualitative or quantitative analysis, judgment, and decision-making of courses based on certain criteria, specific purposes, and relevant procedures, and proposing relevant opinions and suggestions. As a basic link and an important part of educational assessment, curriculum evaluation is not only an important means of supervision and regulation of colleges and universities, but also an effective way for colleges and universities to improve, adjust and improve themselves [2]. Given that most current curriculum system evaluations are based on the average sum of expert knowledge, researching a more scientific, reasonable, and effective curriculum evaluation method is an important guarantee for improving teaching quality and deepening teaching reform.…”