Construction of Online Course Resource Library Based on MEA-BP Neural Networks

[1] Ma, Y., Wang, S., Sun, W., Yu, Y., & Bian, J. (2020). Research on the construction and optimization of distributed moodle course platform. Computer Applications in Engineering Education(33). Search in Google Scholar

[2] Da-Wei, C., Chao, L., Shun, W., Xun-Ling, W., Wen-Fang, W., & Sundhararajan, M., et al. (2018). Research and application of multimedia digital platform in the teaching of college physical education course. Journal of Intelligent and Fuzzy Systems, 34(2), 893-901. Search in Google Scholar

[3] Zhang, Y., Feng, X., Wu, Y., & Xiao, J. (2018). The dynamics of online ratings with heterogeneous preferences in online review platform. Chaos Solitons & Fractals, 109, 26-30. Search in Google Scholar

[4] Zhou, J., Wei, Z., Jia, F., & Li, W. (2021). Course ideological and political teaching platform based on the fusion of multiple data and information in an intelligent environment. Journal of Sensors. Search in Google Scholar

[5] Xiao, C., Cai, H., Su, Y., & Shen, L. (2020). Online teaching practices and strategies for inorganic chemistry using a combined platform based on dingtalk, learning@zju, and wechat. Journal of Chemical Education, 97(9), 2940-2944. Search in Google Scholar

[6] Sigmon, A. J., & Bodek, M. J. (2022). Use of an online social annotation platform to enhance a flipped organic chemistry course. Journal of Chemical Education, 99(2), 538-545. Search in Google Scholar

[7] Hu, X., Jiang, T., & Wang, M. (2022). A hybrid recommendation model for online learning. International Journal of Robotics & Automation. Search in Google Scholar

[8] Minsheng, L. (2023). Application of interactive information system in college personnel management by using bp neural network algorithm. Soft Computing. Search in Google Scholar

[9] Li, C. Y., & Zheng, L. (2021). Analysis of tai chi ideological and political course in university based on big data and graph neural networks. Scientific Programming, 2021(1), 1-9. Search in Google Scholar

[10] Wang, W., Tang, R., Li, C., Liu, P., & Luo, L. (2018). A bp neural network model optimized by mind evolutionary algorithm for predicting the ocean wave heights. Ocean Engineering, 162(aug.15), 98-107. Search in Google Scholar

[11] Xu, B., Dan, H. C., & Li, L. (2017). Temperature prediction model of asphalt pavement in cold regions based on an improved bp neural network. Applied Thermal Engineering, 120, 568-580. Search in Google Scholar

[12] Zhang, Z. (2021). A method of recommending physical education network course resources based on collaborative filtering technology. Scientific programming (Pt.10), 2021. Search in Google Scholar

[13] Wei-Li, W. U., Xiu-Ying, Y., & Li-Wu, Z. U. (2017). Teaching reform of network platform construction for polymer processing experiment course. Polymer Bulletin. Search in Google Scholar

[14] Hortsch, M., & Rodenbarger, L. (2019). When students choose e-learning resources—the importance of ease and convenience. The FASEB Journal, 33. Search in Google Scholar

[15] Hubbard, B. A., Jones, G. C., & Williams, M. T. G. (2019). Student-generated digital tutorials in an introductory organic chemistry course. Journal of chemical education, 96, págs. 597-600. Search in Google Scholar

[16] José Luis Martín Núñez, Caro, E. T., & José Ramón Hilera González. (2017). From higher education to open education: challenges in the transformation of an online traditional course. IEEE Transactions on Education, 60(2), 134-142. Search in Google Scholar