Teaching Quality Monitoring and Evaluation in Higher Education through a Big Data Analysis

Abstract

In the existing teaching quality monitoring and evaluation, there usually adopts only one method, which is relatively simple, lacking validation and verification in the analysis results. For this reason, this paper aims to conduct research on the teaching quality monitoring and evaluation in higher education based on big data analysis. Firstly, the teaching quality monitoring in higher education was made in five directions: teachers' teaching level, students' academic status, course learning effectiveness, students' competency, and students' employment status. Also, the time series forecasting model (Autoregressive Integrated Moving Average) and the differential equation model (GM(1,1)) model which can effectively predict the change trend of the series, are fused to make the predictive evaluation of the changes in data series of the higher education teaching quality. Next, a combined analysis was performed for both the teaching quality monitoring and evaluation results in higher education and the corresponding data on the frequency of proposing and promoting the improvement measures of teaching quality, and mathematical models were established through curve fitting and parameter estimation to explore the deep correlation between the two. Finally, the related experimental results were given to verify the fusion model. Therefore, the teaching quality monitoring and evaluation system in higher education based on big data analysis can realize the effective regulation of factors affecting teaching quality, and also provide convenience for the academic management of universities, which has certain research significance.

Comparative Analysis of Cross-Cultural Teaching Management in Big Data Environment

“…In the context of diverse and interactive global cultures, cross-cultural teaching management in the big data environment can better meet the needs of students from different cultural backgrounds, improve teaching quality and effectiveness [1][2][3][4]. By utilizing big data analysis, we can gain deeper insights into students' learning needs, interests, and backgrounds, and develop more accurate and personalized teaching strategies [5][6][7][8][9].…”

Use of Big Data Technology for Network Classroom Teaching Quality Management

“…A single method is usually used for current monitoring and evaluation of teaching quality, which is relatively simple and lacks verification of analysis results. Based on this, Dong [19] aimed to study the monitoring and evaluation of higher education teaching quality based on big data analysis. First, the teaching quality was monitored based on five aspects, namely, teaching level of teachers, academic performance of students, course learning effect, competence and employment of students.…”