English Teaching Quality Assessment Based on Fuzzy Comprehensive Evaluation Model

Main Article Content

Wei Jia, Cuiping Shi, Xuan Zhou


English Teaching Quality Assessment is a crucial aspect of evaluating and enhancing the effectiveness of English language education programs. To achieve a comprehensive understanding of teaching quality, a Fuzzy Comprehensive Evaluation Model is employed. This model combines qualitative and quantitative assessments, considering various factors such as teaching methods, student engagement, curriculum design, and instructor proficiency. Based on the multi-level model of Fuzzy mathematics, this paper designs a set of teaching Quality Assessment training suitable for English Teaching for Medical Students and applies it to teaching courses to improve their understanding of comprehensive functions and provide reference for future online teaching. In terms of curriculum structure, this paper uses Fuzzy analysis method and literature analysis method. Based on the literature, this paper discusses the training module, training theme, training content, training time and training mode. Summarize and organize the consultant's opinions, and finally formulate the training program. According to the teaching syllabus of comprehensive Quality Assessment student, teaching courseware was prepared, teachers conducted teaching demonstrations and recorded them as high-definition videos, and then cloud classroom teaching platform was built to teach community English. In terms of teaching practice, this subject took the tertiary medical institutions as the object, and investigated and evaluated the qualified primary care staff. Before training, the Fuzzy mathematics multi-level knowledge questionnaire, English Teaching Quality Assessment knowledge questionnaire, English Teaching Quality Assessment attitude, behavioral intention and self-efficacy scale were used to investigate the English Teaching. After completion, the methods were used to investigate English Teaching, and the different degrees of student effects were compared. Finally, a self-designed questionnaire was used to investigate English Teaching to understand the comprehensive evaluation of the satisfaction degree of student courses.

Article Details

Author Biography

Wei Jia, Cuiping Shi, Xuan Zhou

1Wei Jia
1Cuiping Shi
1Xuan Zhou
1Baoding University of Technology, Baoding, Hebei, China,071000
*Corresponding author's e-mail:   menghan9971982@163.com
Wei Jia:13833025494@163.com
Xuan Zhou:15175218450@163.com
Copyright © JES 2024 on-line : journal.esrgroups.org


Shen, C., & Hu, L. (2020, November). Power quality comprehensive evaluation method based on fuzzy mathematics and cloud theory. In Journal of Physics: Conference Series (Vol. 1684, No. 1, p. 012136). IOP Publishing.

Zhang, E., Zhuo, J., Hou, L., Fu, C., & Guo, T. (2021). Comprehensive annoyance modeling of forklift sound quality based on rank score comparison and multi-fuzzy analytic hierarchy process. Applied Acoustics, 173, 107705.

Lv, H., Guan, X., & Meng, Y. (2020). Comprehensive evaluation of urban flood-bearing risks based on combined compound fuzzy matter-element and entropy weight model. Natural Hazards, 103, 1823-1841.

Wang, M., Zhu, C., Wang, F., Li, T., & Zhang, X. (2020). Multi-factor of path planning based on an ant colony optimization algorithm. Annals of GIS, 26(2), 101-112.

Han, L., Cao, Q., Xie, T., Chen, X., Liu, Y., & Bai, J. (2021). Exploring the experience of nursing undergraduates in using gamification teaching mode based on the flow theory in nursing research: A qualitative study. Nurse Education Today, 107, 105158.

Cassie, H., Mistry, V., Beaton, L., Black, I., Clarkson, J. E., & Young, L. (2021). An evaluation of the implementation of quality improvement (QI) in primary care dentistry: a multi-method approach. BMJ Open Quality, 10(2), e000839.

Primeau, M. S., & Benton, A. M. (2021). Multilevel disaster simulation in nursing: lessons learned in undergraduate and nurse practitioner student collaboration. Nursing Education Perspectives, 42(3), 188-189.

Schlabach, T., King, T. S., Browning, K. K., & Kue, J. (2022). Nurse practitioner‐led lung cancer screening clinic: An evidence‐based quality improvement evaluation. Worldviews on Evidence‐Based Nursing, 19(3), 227-234.

Samanta, A., & Basu, K. (2020). A prospective multi-attribute decision making-based reliability allocation method using fuzzy linguistic approach and minimum effort function. International Journal of Mathematics in Operational Research, 17(1), 30-49.

Yu, S., Niu, X., Song, Z., Huang, X., Peng, Y., & Li, J. (2022). Improvement of Al2O3 on the multi-pollutant control performance of NOx and chlorobenzene in vanadia-based catalysts. Chemosphere, 289, 133156.

Mahanta, U., Mohanta, B. C., Panda, A. K., & Panigrahi, B. P. (2021). Fuzzy logic-based direct torque control for improvement of the fault-tolerant drive of a five-phase induction motor. Transactions of the Institute of Measurement and Control, 43(14), 3120-3128.

Bergren, M. D. (2021). Scholarly Publications: Policy Papers, Quality Improvement Projects, and Evidence-Based Implementation Initiatives. The Journal of School Nursing, 37(2), 73-74.

Hencklein, L. C., da Silva, R. L. F., Campos, D. G., Spagnol, G. S., Silva, J. L. G., de Oliveira Sanfelice, C. F., & de Souza Oliveira-Kumakura, A. R. (2021). Effectiveness of clinical simulation and peer-assisted learning to teaching about the sexuality of people with spinal cord injury. Journal of Neuroscience Nursing, 53(5), 208-214.

Blasco, J. M., Igual-Camacho, C., Pérez-Moltó, F. J., García-Molina, P., Gómez-Salgado, J., & Wazen-Hervás, M. J. (2020). Use of physical restraint in nursing homes in Spain and relation with resident characteristics: a retrospective multi-centre cohort study with a self-organised maps approach. Ageing & Society, 40(11), 2410-2428.

Wei, W., Liu, J., Liu, Y., Kang, Y., Luo, R., & Zhang, X. (2021). Evaluation index system of education quality for nursing professional degree postgraduate using the analytic hierarchy process. Medicine, 100(47).

Salsali, M. (2005). Evaluating teaching effectiveness in nursing education: an Iranian perspective. BMC medical education, 5, 1-9.

Jingping, F. U., & Lei, M. E. N. G. (2020, July). Teaching Quality Assessment and Feasibility Analysis of Surgical Nursing Based on Network Teaching Software. In 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL) (pp. 491-493). IEEE.

He, M., & Mei, C. (2022, September). Surgical Nursing Teaching Quality Monitoring Platform Design Based on Big Data. In 2022 International Conference on Education, Network and Information Technology (ICENIT) (pp. 24-28). IEEE.

Zhao, H., & Yang, C. (2021, November). Construction and Practice of the Hybrid Teaching Mode of Nursing under the Normalized Epidemic Prevention and Control:----Takes rehabilitation Care for Stroke Patients as an Example. In 2021 11th International Conference on Information Technology in Medicine and Education (ITME) (pp. 416-419). IEEE.

Wan, T., Liu, X., Liao, W., & Jiang, N. (2020). Cryptanalysis and Improvement of a Biometric-based Authentication Scheme for Multi-server Architecture. Int. J. Netw. Secur., 22(3), 490-501.

Ghofrani, M., Valizadeh, L., Zamanzadeh, V., Ghahramanian, A., Janati, A., & Taleghani, F. (2022). What should be measured? Nursing education institutions performance: a qualitative study. BMJ open, 12(12), e063114.

Elahi, N., Adineh, M., & Rasooli, Z. (2016). How to Make Clinical and Classroom Evaluation in Nursing Effective: Content Analysis. African Educational Research Journal, 4(2), 69-75.

ElIdrissi, W. E., Lajane, H., Chemsi, G., & Radid, M. (2022). Evaluation of clinical teaching by nursing students at the higher institute of nursing and health techniques in Casablanca, Morocco. Journal of Educational and Social Research, 12(2), 28-28.

Marler, G. S., Molloy, M. A., Engel, J. R., Walters, G., Smitherman, M. B., & Sabol, V. K. (2020). Implementing Cardiac Surgical Unit—Advanced Life Support Through Simulation-Based Learning: A Quality Improvement Project. Dimensions of Critical Care Nursing, 39(4), 180-193.

Sharipov, F., & Benites, V. J. (2020). Transport coefficients of multi-component mixtures of noble gases based on ab initio potentials: Viscosity and thermal conductivity. Physics of Fluids, 32(7).

Sherpa, T., Choesang, T., Ahmad, S., & Ronny, F. H. (2021). Ensuring standardization, quality management and improvement of point-of-care testing in the municipal public health system based ambulatory care and school health clinics in New York City. American Journal of Clinical Pathology, 156(Suppl 1), S114.

Carnero, B. A. M., Carnero, R. E. M., & Espinoza, A. N. P. (2022, September). B-Learning in undergraduate nursing education: pre COVID-19 and COVID-19 experience. In 2022 XII International Conference on Virtual Campus (JICV) (pp. 1-4). IEEE.