文献类型：期刊文献

英文题名：Multilevel Evaluation of Teaching Quality in Higher Education Using Single-Valued Neutrosophic Set

作者：Wu, Fuzhong[1];Fang, Yiming[1]

机构：[1]Shaoxing Univ, Sch Mech & Elect Engn, Shaoxing 312000, Peoples R China

年份：2022

卷号：2022

外文期刊名：MOBILE INFORMATION SYSTEMS

收录：SCI-EXPANDED(收录号：WOS:000778445200001)、、EI(收录号：20221511948737)、Scopus(收录号：2-s2.0-85127811188)、WOS

基金：AcknowledgmentsThis work was partially supported by the Scientific Research Foundation of Shaoxing University (Grant No. 20195024). We would like to thank Editage (www.editage.com) for English language editing.

语种：英文

外文关键词：Quality control

外文摘要：Evaluation of teaching quality is essential for teachers' promotion, students' course selection, and institutes' standing. A multilevel evaluation framework for teaching quality in higher education was investigated by combining the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) with the single-valued neutrosophic set (SVNS). An indicator system was constructed, including the teaching performance and the students' learning outcomes. For the qualitative indicator values, an SVNS representation method was proposed, aiming to describe the uncertainty and improve the credibility and validity of the evaluation. Then, both the qualitative data and quantitative data were applied to the TOPSIS-based multilevel evaluation framework, which consisted of an overall assessment and five specific evaluations. The former assessment would provide a final rank and determine the best lecturers to be given priority in awards and promotion. The latter would focus on identifying areas where the lecturers could do better and would give them tips to overcome their challenges. Finally, a descriptive example was provided to verify the proposed framework and demonstrate its practicality.