Author(s)

Chong Wei ¹, Xiaojing Zeng ¹, Zhiguo Wang ², Shiming Li ¹, Yuping Tong ³, Haijun Xu ¹, Lianhai Cao ¹

Affiliation(s)

¹ College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, China
² School of Architecture, North China University of Water Resources and Electric Power, Zhengzhou, China
³ School of Materials Science and Engineering, North China University of Water Resources and Electric Power, Zhengzhou, China

Corresponding Author

Lianhai Cao

ABSTRACT

The analysis of big data in education to further promote smart education, construct a high-quality education support system, and promote the sustained and healthy development of "Internet+ education", is one of the hot issues in the academic circle at present. In this study, the course teaching of North China University of Water Resources and Electric Power was taken as the research object firstly. Then, the indicators at all levels of teaching evaluation were determined based on the analytic hierarchy process, the comprehensive weight of each indicator was calculated. Next, the university curriculum teaching quality evaluation system based on big data was constructed, and the results show that the influence of the first-layer indicators on teaching evaluation is in the order of knowledge evaluation > behavior evaluation > experience evaluation; the comprehensive weight value of final test is 0.3809, which indicates the proportion of judging the teaching effect of teachers solely by students' performance has gradually declined in the information-based classroom teaching; the comprehensive weight value of Homework reached 0.2097, further indicating that teaching evaluation was paying more and more attention to the process assessment results. Therefore, teachers should give full play to students' main role, establish an indicator system more comprehensively, so as to build a scientific, reasonable and personalized evaluation system of university curriculum teaching quality more pertinently. 

KEYWORDS

Big data for education, analytic hierarchy process, curriculum teaching, evaluation system

CITE THIS PAPER

Chong Wei, Xiaojing Zeng, Zhiguo Wang, Shiming Li, Yuping Tong, Haijun Xu,  Lianhai Cao, Construction and Research on the Evaluation System of University Curriculum Teaching Quality Based on Analytic Hierarchy Process. Curriculum and Teaching Methodology (2022) Vol. 5: 10-17. DOI: http://dx.doi.org/10.23977/curtm.2022.051202.

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