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Evaluating the practical effectiveness of college counselors’ ideological and political education using big data video streaming

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Abstract

With the changing trends in ideological and political teaching methodologies in colleges and higher institutes, the previous political and ideological teaching mode of blackboard and power point-enabled face-to-face instruction is in danger of being phased out. As a result, college counselors’ work in political and ideological education is an essential component of college-level instruction. The reform’s focal points, i.e., integral platforms, are wireless communication and big data video streaming. These platforms provide a sense of situation, immersion, and involvement that traditional ideological and political education lacks. Using big data concepts for wireless-enabled video streaming, this paper assesses the effectiveness of college counselors’ ideological and moral instructions. We provide data-driven insights to improve the efficacy of education by analyzing a large quantity of video data, which include teaching content, student behavior, and interaction status. We present a big data-enabled evaluation approach that blends ideological and moral education aspects, employing least squares fitting analysis for indicator distribution control, fuzzy support vector machine and fuzzy clustering models for assessment. The study conducts quantitative analysis, dynamic monitoring, and feature extraction of efficacy indicators by assessing college counselors’ advice based on parameters and benefits. The experiment shows that the proposed method has a high degree of confidence in evaluating the effectiveness of college counselors’ ideological and moral education and can dynamically adjust their approach to improve data interaction ability and analysis.

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The data used to support the findings of this study are available from the corresponding author upon request.

References

  1. Song, T. (2022). Empowering with ideology and morality instruction, the goal of teaching and educating people has been achieved– practice, harvest and discussion of the course “organizational behavior”, a model course of ideology and morality instruction. Scientific Journal Of Humanities and Social Sciences, 4(4), 246–257.

    Google Scholar 

  2. Bin Xu, Haixia Zhang. Study on Improving the Ability of Innovation and Entrepreneurship for Science and Engineering Students in Colleges based on Ideology and morality instruction, Proceedings of 8th International Symposium on Social Science (ISSS 2022),2022:200–203.

  3. Yu, C. M. (2020). Research on the innovation and integrated development of college ideological and political work based on short video recommendation model. Journal of Physics: Conference Series, 1533(4), 042038.

    Google Scholar 

  4. Yao, S. (2022). On the influence of party history education on ideological and political education for medical students. Journal of Higher Education Research, 3(2), 141–145.

    Article  Google Scholar 

  5. Zheng, W., Zhou, Y., Liu, S., Tian, J., Yang, B., & Yin, L. (2022). A deep fusion matching network semantic reasoning model. Applied Sciences, 12(7), 3416. https://doi.org/10.3390/app12073416

    Article  Google Scholar 

  6. Zhang, X., Wang, Y., Yang, M., & Geng, G. (2021). Toward concurrent video multicast orchestration for caching-assisted mobile networks. IEEE Transactions on Vehicular Technology, 70(12), 13205–13220. https://doi.org/10.1109/TVT.2021.3119429

    Article  Google Scholar 

  7. Yuan, Y. (2022). Innovating the student management mode of college counselors under the new situation. Journal of Contemporary Educational Research, 6(5), 54–59.

    Article  Google Scholar 

  8. Lingyan Wang. Research on Etiquette Culture from the Perspective of University Ideology and morality instruction//.Proceedings of 8th International Symposium on Social Science (ISSS 2022) 2022:296–306. doi: https://doi.org/10.26914/c.cnkihy.2022.010084.

  9. Zhou, X., & Liu, K. (2022). Research on the education mechanism of integration of labor education and ideology and morality instruction in colleges and universities in the new era. International Journal of Social Science and Education Research, 5(3), 243–253.

    Google Scholar 

  10. Liu, Y. (2021). Research on the role of college ideology and morality instruction in student management. International Journal of Education and Management, 6(4), 143–152.

    Google Scholar 

  11. Zheng, W., Tian, X., Yang, B., Liu, S., Ding, Y., Tian, J., & Yin, L. (2022). A few shot classification methods based on multiscale relational networks. Applied Sciences, 12(8), 4059. https://doi.org/10.3390/app12084059

    Article  Google Scholar 

  12. Gao, S., Li, S., & Zhang, Q. (2022). The creative route of university ideological and political teaching on the essential of embedded sensor network. Wireless Communications and Mobile Computing, 2022, 1–12. https://doi.org/10.1155/2022/4004415

    Article  Google Scholar 

  13. Deng, Y., Zhang, W., Xu, W., Shen, Y., & Lam, W. (2023). Nonfactoid question answering as query-focused summarization with graph-enhanced multihop inference. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3258413

    Article  Google Scholar 

  14. Yin, T. (2020). Problems and countermeasures in the network civic and political work of college counselors. Journal of Contemporary Educational Research, 4(7), 148–151.

    Article  Google Scholar 

  15. Tang, F. (2020). Research on the effectiveness of the construction of ideological and moral education for rural minors based on big data analysis. Journal of Physics: Conference Series, 1648(2), 022053.

    Google Scholar 

  16. Chen, T. (2022). Research on the dilemma and breakthrough path of ideological and political education in colleges and universities in the era of big data. Journal of Higher Education Research, 3(2), 203–206.

    Article  Google Scholar 

  17. Feng, C., Wang, X., & Bingqing, Xu. (2021). On the interaction between ideology and morality instruction and campus culture construction in colleges and universities. Curriculum and Teaching Methodology, 4(6), 779–788.

    Google Scholar 

  18. Zhu, I. (2021). Research on the two-way construction system of college students’ ideology and morality instruction and innovation and entrepreneurship. Advances in Educational Technology and Psychology., 5(12), 35–42.

    Google Scholar 

  19. Chen, G., Chen, P., Huang, W., & Zhai, J. (2022). Continuance intention mechanism of middle school student users on online learning platform based on qualitative comparative analysis method. Mathematical Problems in Engineering., 321, 12. https://doi.org/10.1155/2022/3215337

    Article  Google Scholar 

  20. Li, X., & Sun, Y. (2020). Stock intelligent investment strategy based on support vector machine parameter optimization algorithm. Neural Computing and Applications, 32(6), 1765–1775. https://doi.org/10.1007/s00521-019-04566-2

    Article  Google Scholar 

  21. Lu, S., Ding, Y., Liu, M., Yin, Z., Yin, L., & Zheng, W. (2023). Multiscale feature extraction and fusion of image and text in VQA. International Journal of Computational Intelligence Systems, 16(1), 54. https://doi.org/10.1007/s44196-023-00233-6

    Article  Google Scholar 

  22. Meng, F., Xiao, X., & Wang, J. (2022). Rating the crisis of online public opinion using a multi-level index system. The International Arab Journal of Information Technology, 19(4), 597–608. https://doi.org/10.34028/iajit/19/4/4

    Article  Google Scholar 

  23. Cao, H. (2022). Entrepreneurship education-infiltrated computer-aided instruction system for college Music Majors using convolutional neural network. Frontiers in Psychology, 13, 900195. https://doi.org/10.3389/fpsyg.2022.900195

    Article  Google Scholar 

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Acknowledgements

This paper was supported by The 2021 annual project of China Vocational and Technical Education Association–China Vocational Education Research Institute of the New Era: Four History Education: Reflections and Suggestions on Integrating School Education Links.( project Number: SZ21B022). Research project of Binzhou Social Science Federation in 2022: (Research on the Evaluation System of Quality of Ideological and Political Education for College Counselors in the Era of Big Data) (2022-SZZX-19). Research Project of 14th five-year plan of education science in Shandong: (Research on the Innovation of Ideological and Political Teaching Mode in Higher Vocational Colleges from the Perspective of Embodied Cognition) (2021YB054).

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  1. Binzhou Polytechnic, Binzhou City, 256603, Shandong Province, China

    Du Junfang, Chen Xiaomin & Dou Yuguang

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  1. Du Junfang
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  2. Chen Xiaomin
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Correspondence to Dou Yuguang.

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Junfang, D., Xiaomin, C. & Yuguang, D. Evaluating the practical effectiveness of college counselors’ ideological and political education using big data video streaming. Wireless Netw 30, 1–15 (2024). https://doi.org/10.1007/s11276-023-03444-z

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