Abstract
The development of big data technology and data mining technology has brought new opportunities for the scientific and innovative development of ideological and political education in colleges and universities. The evaluation of ideological and political education in colleges and universities in the context of big data was studied in this paper. An evaluation method of college students’ ideological and political education based on data mining was proposed. The proposed method uses K-means clustering method to analyze the data of the “worker’s assessment scale” of the counselor, and can achieve the evaluation of the ideological and political management effect of the counselor. The experimental results show that compared with traditional evaluation methods, the evaluation results of this method are more accurate and objective.
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References
Lei, Z.M.: Research on the Innovation of the Ideological and Political Education of College Students in the Background of the Omnimedia. Theory & Practice of Education (2016)
Wang, J.F., Yao, J., Guo, M.L.: Research on Cooperative Training Mechanism of College Students’ Innovation and Entrepreneurship Education. Value Engineering (2018)
Zhao, J.L., Fan, S., Hu, D.: Business challenges and research directions of management analytics in the big data era. J. Manag. Anal. 1(3), 169–174 (2014)
Samier, E.A.: Education in a troubled era of disenchantment: the emergence of a new Zeitgeist. J. Educ. Adm. Hist. 50, 1–10 (2018)
Sakaue, K.: Informal fee charge and school choice under a free primary education policy: panel data evidence from rural Uganda. Int. J. Educ. Dev. 62, 112–127 (2018)
Liang, J.F., Yuan, Z.H.: Adaptation and innovation: ideological and political education in colleges and universities in the era of big data. Stud. Educ. Res. 6, 63–67 (2013)
Zhang, R., Dong, Z., Xia, X.: Innovation and exploration of ideological and political education in universities in the era of big data. Sch. Party Build. Ideol. Educ. 10, 67–69 (2014)
Zhou, S.M.: Talking about the application of big data in ideological and political education in colleges and universities. Stud. Educ. Res. 5, 124–126 (2014)
Gu, Q.L., Xu, J.Z.: Study on ideological and political education of college students based on big data thinking. Theory Res. 14, 248–249 (2015)
Carvalho, A., Dall’Osso, M., Dorigo, T., et al.: Higgs pair production: choosing benchmarks with cluster analysis. J. High Energy Phys. (4), 126 (2016)
Hasib, A.A., Cebrian, J.M., Natvig, L.: A vectorized k-means, algorithm for compressed datasets: design and experimental analysis. J. Supercomput. 3, 1–24 (2018)
Kwon, K., Shin, J.W., Kim, N.S.: Incremental basis estimation adopting global k-means algorithm for NMF-based noise reduction. Appl. Acoust. 129, 277–283 (2018)
Acknowledgements
Inner Mongolia University for Nationalities Ideological and Political Theory Teaching and Research Project (SZ2014009). Inner Mongolia Autonomous Region Science and Technology Innovation Guide Project in 2018: KCBJ2018028.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Tu, L., Wu, L. (2019). An Ideological and Political Education Evaluation Method of University Students Based on Data Mining. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_40
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DOI: https://doi.org/10.1007/978-3-030-36405-2_40
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