HUANG Mei-zhong
ABSTRACT
China's higher education, with colleges and universities as its main part, provides public services, performs public functions and realizes public interests, so it has public attributes. Since the development of China's higher education, it has been popularized nationwide with a gross enrollment rate of higher education over 50 percent. The quality of higher education is related to the level of talents for the society in the future. Therefore, colleges and universities need to improve the level of teaching and the quality of talent cultivation. In this context, the multi-quality teaching of higher education has become a hot topic of discussion. This paper uses the BP neural network evaluation model to evaluate the teaching quality. The principal component analysis method is used in the research evaluation index, and the main components are extracted from the evaluation index to calculate the evaluation score. Through quantitative research, the school education can be obtained. The quality evaluation results and the test results prove that the selection of evaluation indicators is reasonable and can accurately reflect the quality of school education, thus reflecting the scientificity and feasibility of teaching quality evaluation.
- Peng Q. (2019). The essential meaning and realization mechanism of high-quality development of higher education, Journal of Nantong University:Social Sciences Edition, 35 (4), 133-140.Google Scholar
- Hu Y., Luo R.T. (2019). Comprehensive evaluation of the quality of undergraduate higher education- Takes 13 prefecture-level cities in Jiangsu Province as an example, Fortune Today, 35 (4),Google Scholar
- Zhong B.L., Zhou H.T., Liu Z. (2009). Summarize lessons learned, study background trends, innovative evaluation ideas - a new round of undergraduate teaching assessment of the basic problems of the analysis (I), China Higher Education, 45 (1), 33-36.Google Scholar
- Li Z.Y., Zhu H., Liu Z.J., (2010) .In essence, we understand the evaluation of undergraduate teaching in colleges and universities, China Higher education, 46 (8), 32-35.Google Scholar
- Bai Q. (2019). Rethinking the reform and development of China's higher education in the new era, Journal of Tongren University, 21 (3), 40-48.Google Scholar
- Liang X., Gu Y.A., Wang Z.X. (2018). Regression and Innovation: An Analysis of the Reform of Applied Talent Training Model- A Review based on the Perspective of High-Quality Employment, Vocational and Technical Education, 39 (34), 39-44.Google Scholar
- Yu Li Z., (2010) Promote the diversity of students with diverse quality standards, Research in Educational Development, 30 (7), 72-74.Google Scholar
- Zuo X.T. (2015). The teaching of English in diversified universities promotes the development of students' multi-intelligence, Journal of Hubei Correspondence University, 22 (07), 152-153.Google Scholar
- Zunjic, A., Tsaklis, P.V., Yue, X.-G. The relationship between ergonomics, safety and aesthetics in the design of consumer products and systems (2017) Ergonomic Design and Assessment of Products and Systems, pp. 1-18. .Google Scholar
- Yue, X.-G., McAleer, M. Prediction of gas concentration based on the opposite degree algorithm (2017) Journal of Reviews on Global Economics, 6, pp. 154-162. DOI: 10.6000/1929-7092.2017.06.13.Google Scholar
- Luan, Y., Cao, Y., Mao, D., Li, Y., Yue, X., Zhao, Y., Xiong, F., Rong, J., He, C. RNA sequencing reveals the differences between chemical and chronic constipation induction of intestinal tumor (2017) Biomedical Research (India), 28 (22), pp. 10053-10061.Google Scholar
- Xiao-Guang, Y., Yong, D. Editorial (2017) Transformations in Business and Economics, 16 (2B), pp. 605-606 .Google Scholar
- Yue, X.-G., Esfahani, M.J., Akbai, H., Foroughi, A. A kinetic model for gasification of heavy oil with in situ CO2 capture (2016) Petroleum Science and Technology, 34 (22), pp. 1833-1836. DOI: 10.1080/10916466.2016.1227837.Google Scholar
- Cao, Y., Zhao, Y., Yue, X., Xiong, F., Sun, Y., He, X., Wang, L.Between disorder and order: A case study of power law (2016) Physica A: Statistical Mechanics and its Applications, 456, pp. 244-255. DOI: 10.1016/j.physa.2016.03.045.Google Scholar
- Zhou, F.-J., Yue, X.-G. Labview technology application for safety engineering (2016) Journal of Computational and Theoretical Nanoscience, 13 (8), pp. 5258-5261. DOI: 10.1166/jctn.2016.5411.Google Scholar
- Yu, K., Yue, X.-G., Madfa, A.A., Du, Y.-H. Application of problem-based learning network teaching platform in medical education (2016) Journal of Computational and Theoretical Nanoscience, 13 (5), pp. 3414-3417. DOI: 10.1166/jctn.2016.5007.Google Scholar
- Guo, H.-B., Yue, X.-G., Lu, Y., Memonen, T., Xiao, F., Cañiv, M.V. Research on SOFMNN in coal and gas outburst safety prediction (2016) Recent Patents on Computer Science, 9 (1), pp. 55-61. DOI: 10.2174/2213275908666150422233601.Google Scholar
- Yue, X.-G., Boddhu, S.K., Lu, Y., Xiao, F., Memonen, T., Cañiv, M.V. Gas outburst prediction based on OD algorithm (2016) Recent Patents on Computer Science, 9 (1), pp. 25-39. DOI: 10.2174/2213275908666150218194450.Google Scholar
- Madfa, A.A., Yue, X.-G. Dental prostheses mimic the natural enamel behavior under functional loading: A review article (2016) Japanese Dental Science Review, 52 (1), pp. 2-13. DOI: 10.1016/j.jdsr.2015.07.001.Google Scholar
- Yang, M., Chen, X., Wang, Y., Yue, X. Thermal oxidation kinetics analysis of ferrous sulfide under different heating rates (2016) Acta Technica CSAV (Ceskoslovensk Akademie Ved), 61 (4), pp. 19-28.Google Scholar
Recommendations
BP Neural Network-Based Evaluation on University Teachers' Teaching Quality
EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer ScienceBecause of the one-sidedness in most universities by using the single teaching evaluation mechanism to evaluate the teachers' teaching quality, this paper presents a comprehensive teaching quality evaluation system. 7 indicators under the 2 level ...
Research on the Application of BP Neural Network in the Evaluation of College Teaching Quality
ICEBT '22: Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-TechnologyWith the expansion of colleges and universities, the society and public are more and more concerned about the quality of students' learning. For colleges and universities, how to improve the teaching quality of teachers is a problem that needs to be ...
A Teaching Quality Evaluation Model Based on a Wavelet Neural Network Improved by Particle Swarm Optimization
AbstractIn order to improve the teaching quality of higher education, the paper constructed a teaching quality evaluation index system with five first level indicators and twenty two second level indicators according to the teaching level ...
Comments