Teaching Quality Evaluation of Online Courses Based on AHP-FCE Evaluation Technology

Abstract

The COVID-19 pandemic posed a considerable challenge to education and teaching. The concept of “Internet + Education” accelerated the construction and popularization of a large number of online teaching platforms, accompanied by the emergence of various massive open online courses and online classroom teaching platforms. Thus, evaluating the teaching quality of online courses has become essential. Diversified scientific evaluations of traditional teaching fail owing to problems such as single evaluation subjects, imperfect evaluation standards, and low evaluation efficiency. In this study, first, documents on evaluation index systems and evaluation methods for identifying the teaching effect of online courses are classified, and observation points of an online course teaching effect evaluation in 16 aspects before, during, and after class are proposed. Second, the index weights are determined based on analytic hierarchy process, and a fuzzy comprehensive evaluation model is established to evaluate the online course teaching effect in six application-oriented universities in Henan Province, China. Results show that the observation points of the online course teaching effect evaluation proposed in this study are scientific and reasonable. Specifically, among the observation point indices, X-16, X-2, and X-3 have substantial weight, and the overall average score of the online course teaching effect of the case study subjects is 3.756, with a –24.88% room for improvement compared with the full score of 5. The method can effectively evaluate the teaching quality of online courses scientifically and accurately. The results also have important reference value for elevating the quality assurance standards of online teaching, thereby perfecting the dynamic process of online teaching quality assurance and realizing the effectiveness of online teaching results.