Comprehensive Evaluation and Analysis of Teaching and Research Performance of Art Majors

Yin Lyu, Xue Yang, Jiang Yao

Abstract


The growing popularity of art majors is overshadowed by the difficulty for art graduates to find a decent job. The teaching and research (T&R) performance of art majors should be evaluated comprehensively, such as to optimize resource allocation and improve teaching quality. Based on performance evaluation theory and input-output theory, this paper summarizes the features, problems and problem causes of performance evaluation for art majors. From the dimensions of teaching and research, a comprehensive index system was designed for T&R performance evaluation of art majors. On this basis, a performance evaluation model was constructed for art majors through principal component analysis (PCA). Finally, single-factor evaluation and comprehensive evaluation were conducted by our model on the T&R performance of the school of art design and school of industrial design in a university. The results show that: The performance evaluation of art majors is a small-scale yet complex and professional task, but the current evaluation methods lack sufficient attention, professionality, and targeted indices. The school of art design had a slightly higher ratio of excellent theses than the school of industrial design, reflecting the difference between the two schools in teaching results and quality. The school of industrial design invested much more than the school of art design. Both schools had improved the T&R outputs and comprehensive performance score since 2011, and the school of industrial design made the greater improvement in the comprehensive performance score. The research sheds new light on comprehensive evaluation of T&R performance in art majors.

Full Text:

PDF


Copyright (c) 2020 Yin Lyu, Xue Yang, Jiang Yao


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
Creative Commons License
Indexing:
Scopus logo Clarivate Analyatics ESCI logo EI Compendex logo IET Inspec logo DOAJ logo DBLP logo Learntechlib logo EBSCO logo Ulrich's logo Google Scholar logo MAS logo