Abstract
At present, there is a problem of single subject and mode in the evaluation of physical education teaching quality in higher vocational colleges, which affects the accuracy of the evaluation results. In order to improve the accuracy of teaching quality evaluation results, this paper proposes an evaluation method of physical education teaching quality in Higer Vocational Colleges by using mobile teaching terminal. Analyze the application strategy of mobile teaching terminal in physical education teaching; Collect physical education teaching data based on mobile teaching terminal; Design the teaching quality evaluation index system; Determine the index weight and build the quality evaluation model; The comprehensive evaluation of physical education teaching quality in higher vocational colleges is realized through the qualitative index fuzzy quantitative method. The test results show that the higher vocational physical education teaching quality evaluation method using mobile teaching terminal proposed in this paper has high detection rate and accuracy, so the evaluation results are more effective.
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References
Xue-xia, Z.: Study on the Indexes of the scale of students’ evaluation of physical education in colleges and universities. J. Pingxiang Univ. 37(1), 103–106 (2020)
Hang, G.: Analysis on the diversification model of college physical education evaluation. Bull. Sport Sci. Technol. 28(4), 82,84 (2020)
Kun, Y., Ling-li, L.: Mobile terminal network survivable database security anti-tampering simulation. Comput. Simul. 37(1), 456–459,483 (2020)
Youmei, Z.: Design of physical education teaching quality evaluation system based on BS framework. China Comput. Commun. 33(1), 237–239 (2021)
Tang Like, Xu Ying. Evaluation of Physical Education Teaching Quality Based on Back Propagation Neural Network Optimized By Golden Sine Algorithm[J]. Modern Scientific Instruments, 2021, 38(5):260-264.
Qian, H.U., Shaona, L.I.N.: Construction of teaching quality evaluation system for college physical education teachers based on competency model. Contemp. Sports Technol. 11(3), 247–250 (2021)
Tong-qing, Z., Jing-jing, G., Jian-guo, S.: Research on the evaluation system of college pe classroom teaching quality from the perspective of sports core quality——taking Hexi university as an example. J. Hexi Univ. 37(2), 72–76 (2021)
Wang, Q.: Research on teaching quality evaluation of college English based on the CODAS method under interval-valued intuitionistic fuzzy information. J. Intell. Fuzzy Syst. 41(1), 1–10 (2021)
Zhang, X., Wei, Z., Han, T.: PHP-based undergraduate data reporting and teaching quality evaluation information system. J. Phys: Conf. Ser. 1827(1), 121–124 (2021)
Yuan, T.: Algorithm of classroom teaching quality evaluation based on Markov chain. Complexity 2021(21), 1–12 (2021)
Chinkina, M., Ruiz, S., Meurers, D.: Crowdsourcing evaluation of the quality of automatically generated questions for supporting computer-assisted language teaching. ReCALL 12(32), 14–19 (2020)
Johnson, J.K., Paul, B., Tina, F., et al.: A starter’s guide to learning and teaching how to coproduce healthcare services. Int. J. Qual. Health Care 33(2), 55–62 (2021)
González, C.S.G., Infante, A., Moro, J.: Implementation of e-proctoring in online teaching: a study about motivational factors. Sustainability 12(8), 3390–3404 (2020)
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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He, W., Pan, D. (2023). Evaluation Method of Physical Education Teaching Quality in Higher Vocational Colleges Using Mobile Teaching Terminal. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_49
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DOI: https://doi.org/10.1007/978-3-031-28867-8_49
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