Reform of Chinese Universities in the Context of Sustainable Development: Teacher Evaluation and Improvement Based on Hybrid Multiple Criteria Decision-Making Model

• Published in: Sustainability 2019-10, Vol.11 (19), p.5471
• Main Authors: Weng, Sung-Shun, Liu, Yang, Chuang, Yen-Ching
• Format: Article
• Language: English
• Subjects: Colleges & universities; Cooperation; Curricula; Decision making; Education; Evaluation; Higher education; Higher education institutions; Multiple criterion; Quality standards; Reforms; Sustainability; Sustainable development; Teacher evaluations; Teachers; Teaching; Training
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su11195471

China is pushing universities to implement reforms in order to achieve the sustainable development goals, but with the development level of teachers becoming the key restricting factor. In this sense, teacher evaluation and improvement act as positive factors for China to achieve the 2030 sustainable development goals. Previous studies on teacher evaluation have usually assumed that the relationship between the evaluation criteria is independent, with the weights of each standard derived from this assumption. However, this assumption is often not in line with the actual situation. Decisions based on these studies are likely to waste resources and may negatively impact the efficiency and effectiveness of teachers’ sustainable development. This study developed an integrated model for the evaluation and improvement of teachers based on the official teacher evaluation criteria of China’s International Scholarly Exchange Curriculum (ISEC) programme and a multiple criteria decision-making methodology. First, a decision-making trial and a laboratory-based analytical network process were used to establish an influential network-relation diagram (INRD) and influential weights under ISEC standards. Next, an important performance analysis was used to integrate the weight and performance of each standard to produce a worst-performance criterion set for each university teacher. Finally, the worst performance set used an INRD to derive an improvement strategy with a cause–effect relationship for each teacher. This study chose a Chinese university that has implemented teaching reform for our case study. The results show that our developed model can assist decision-makers to improve their current evaluations of teachers and to provide a cause–effect improvement strategy for education reform committees and higher education institutions.