CASE-BASED TEACHING PERFORMANCE EVALUATION SYSTEM AND AN IMPROVED ANALYTIC HIERARCHY PROCESS MODEL USING LINGUISTIC VARIABLES

With the emergency of "Internet + teaching" in China, the evaluation of blending teaching has become more and more urgent. This study combines data from experts and database of Teaching Management System, and employs the improved Analytic Hierarchy Process (AHP) method to establish a scientific teaching performance evaluation model. First, linguistic variables were adopted to assess the online and offline mixed course characteristics to construct the teaching quality evaluation system. Second, fuzzy AHP (FAHP) was utilized to determine the factors’ weights, meanwhile, a novel synthesizing algorithm, based on the range of each scheme, is proposed to deal with the dependencies between schemes, therefore settle the problem caused by traditional calculating method. Third, this study applies FAHP to calculate the final ranking and makes the analyzing process more systematic and concise. Through a real case study, we find the evaluation results of the model are consistent with the ranking of the teaching competition fairly well, thus the reliability of this method is verified. To sum up, this study presents a high reliable improvement of FAHP, and also provides a complete set of solutions for evaluating blending teaching.