Construction and Research of Aerobics Teaching Evaluation Platform in Colleges and Universities in the Age of Digital Technology

[1] Zhang, X., Yang, X., & Yang, J. (2021). Teaching evaluation algorithm based on grey relational analysis. Complexity, 2021. Search in Google Scholar

[2] Yu, Y., & Qi, A. (2018). Teaching system of smart learning environment for aerobics course. International Journal of Emerging Technologies in Learning, 13(5), 165. Search in Google Scholar

[3] Villanueva, K. A., Brown, S. A., Pitterson, N. P., Hurwitz, D. S., & Sitomer, A. (2017). Teaching evaluation practices in engineering programs: current approaches and usefulness. International Journal of Engineering Education, 33(4), 1317-1334. Search in Google Scholar

[4] Dan, M., & Yi, H. (2018). Research on college aerobics education methods and teaching innovation from the perspective of cooperative governance. International Journal for Engineering Modelling, 31(1), 207-214. Search in Google Scholar

[5] Liu, G. (2022). Construction of the mathematical model for teaching classroom evaluation in colleges and universities using an optimized apriori algorithm. Mobile information systems(Pt.26), 2022. Search in Google Scholar

[6] Zhao, J., & Yu, L. (2017). The construction and analysis of aerobics teacher’s teaching ability evaluation model. Revista de la Facultad de Ingenieria, 32(14), 79-83. Search in Google Scholar

[7] Liu, L. (2020). Smart teaching evaluation model using weighted naive bayes algorithm. Journal of Intelligent and Fuzzy Systems, 40(1), 1-11. Search in Google Scholar

[8] Zhong, X. (2017). Application of multi-lens video editing technology in multimedia interactive teaching of “aerobics”. International Journal of Emerging Technologies in Learning (iJET), 12(02). Search in Google Scholar

[9] Hailong, L. (2021). Role of artificial intelligence algorithm for taekwondo teaching effect evaluation model. Journal of Intelligent and Fuzzy Systems, 40(2), 3239-3250. Search in Google Scholar

[10] Fan, C. (2017). Analysis of modern aerobics teaching mode innovation based on multimedia information technology. Boletin Tecnico/Technical Bulletin, 55(4), 236-242. Search in Google Scholar

[11] Cui, Y. (2017). Application of large data analysis in college aerobics teaching based on cloud platform. Revista de la Facultad de Ingenieria, 32(2), 693-701. Search in Google Scholar

[12] Feng, D. (2017). Research on the cultivation of students comprehensive ability in aerobics teaching based on network big data platform. Revista de la Facultad de Ingenieria, 32(9), 310-316. Search in Google Scholar

[13] Yu, H. (2020). Online teaching quality evaluation based on emotion recognition and improved aprioritid algorithm. Journal of Intelligent and Fuzzy Systems, 40(5), 1-11. Search in Google Scholar

[14] Yu, L., & Wang, W. (2017). An improved construction and optimization of complex system model of aerobics teaching in colleges. Boletin Tecnico/Technical Bulletin, 55(15), 159-165. Search in Google Scholar

[15] Ye, W. (2017). Teaching effectiveness evaluation of physical education and aerobics training based on data mining method. Revista de la Facultad de Ingenieria, 32(2), 727-733. Search in Google Scholar

[16] Zheng, Y. (2021). Design of a blockchain-based e-portfolio evaluation system to assess the education and teaching process. Pediatric obesity., 16(5). Search in Google Scholar

[17] Nikolic, S., Suesse, T., Jovanovic, K., & Stanisavljevic, Z. (2020). Laboratory learning objectives measurement: relationships between student evaluation scores and perceived learning. IEEE Transactions on Education, PP(99), 1-9. Search in Google Scholar

[18] Han, Z. (2021). A fuzzy logic and multilevel analysis-based evaluation algorithm for digital teaching quality in colleges and universities. Scientific Programming. Search in Google Scholar