Construction of Higher Education Teaching Quality Evaluation Model Based on Scientific Computing

Abstract

The recipients of higher education are the backbone of future social construction, so their education is particularly important. As the research group of scientific computing is immature, the use of it to perform related calculations can achieve a multiplier effect with half the effort. Especially now, the quality evaluation of higher education has not been determined. Therefore, this paper aims to use scientific computing to construct a scientific evaluation model for the teaching quality of higher education. For scientific computing, this paper used its data processing ability to design and improve the computational science model evaluation algorithm. For the evaluation model, it not only constructed it with the fuzzy evaluation model and analyzed the weights of the relevant indicators proposed but also designed a teaching evaluation system according to the established model in order to evaluate the teaching quality efficiently and accurately. Experiments showed that the evaluation result score for a teacher was 81.45, and 81.45 was between 80 and 90. The teacher’s classroom evaluation result was good, which showed the effectiveness of the evaluation model. The test results of the system showed that the system could load up to 80 people and run smoothly online at the same time.

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

“…Following the increasing demand for high-quality talents in social workplaces, the reform of higher education is of great urgency [1][2][3][4]. All universities need to focus on the construction of teaching quality, especially the teaching quality evaluation [5][6][7][8][9][10][11]. Currently the web-based educational management system has been widely used in higher education institutions, gradually replacing the student performance-oriented traditional evaluation system.…”