Advertisement

Big-Data Technology in the Reform of Ideo-Political Education in Higher Education

  • Ying LiuEmail author
  • Yuan Luo
Conference paper
  • 28 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)

Abstract

Today, the Internet has rapidly spread and developed, research on the application of BDT has become a hot spot for many scholars. Education is becoming more and more important for social development, and colleges and universities are more concern about the ideo-political (I-D) education. However, there is not much research on applying BDT to the I-D reform of higher education. This thesis mainly studies the application of BDT in the reform of I-D education in higher education. Firstly, it analyzes the current state of I-D teaching reform, then discovers the problems, and then applies BDT to I-D teaching reform in order to get good reform effect. Research shows that the I-D teaching under the BDT has a good effect, which greatly improve students’ learning passion and enhance their political and ideological quality.

Keywords

Internet Big-data technology (BDT) Ideo-political teaching reform (I-P TR) 

Notes

Acknowledgements

This paper supported by Hunan Provincial Improvement Project of College Students’ Ideological and Moral Quality in 2017 (Counselor master studio) (17MS30).

References

  1. 1.
    Zhang, C., Fagan, C.: Examining the role of ideological and political education on university students’ civic perceptions and civic participation in Mainland China: some hints from contemporary citizenship theory. Citizensh. Soc. Econ. Educ. 15(2), 117–142 (2016)CrossRefGoogle Scholar
  2. 2.
    Jia, Q.: The challenges and reform ways of ideological and political education in colleges and universities. J. Contemp. Educ. Res. 3(1), 39–42 (2019)MathSciNetCrossRefGoogle Scholar
  3. 3.
    Li-dan, L., An, B.: The ideological and political education’s innovative guiding role in the process of college students’ employment and entrepreneurship. J. Jiamusi Vocat. Inst. 8, 97 (2017)Google Scholar
  4. 4.
    Bai, L.: Research on the application of positive psychology in teaching of ideological and political course among higher vocational colleges. Adv. Educ. Technol. Psychol. 1(2), 50–54 (2017)CrossRefGoogle Scholar
  5. 5.
    Wang, S., Zhang, T.: Research on innovation path of school ideological and political work based on large data. Cluster Comput. 22(2), 3375–3383 (2019)CrossRefGoogle Scholar
  6. 6.
    Ma, C.: Large-scale evolutionary knowledge network and multiple integration of university ideological and political education resources based on inference algorithm. Int. J. Secur. Appl. 10(8), 325–334 (2016)Google Scholar
  7. 7.
    Liang, Y., Ding, C.S., Huang, X.D., Deng, L.: Traditional Chinese medicine data management policy in big data environment. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China J. Chin. Mater. Medica 43(4), 840–846 (2018)Google Scholar
  8. 8.
    De Mauro, A., Greco, M., Grimaldi, M.: A formal definition of Big Data based on its essential features. Libr. Rev. 65(3), 122–135 (2016)CrossRefGoogle Scholar
  9. 9.
    Liu, Z., Wang, Y., Cai, L., Cheng, Q., Zhang, H.: Design and manufacturing model of customized hydrostatic bearing system based on cloud and big data technology. Int. J. Adv. Manuf. Technol. 84(1–4), 261–273 (2016)CrossRefGoogle Scholar
  10. 10.
    Ilyasova, N., Kupriyanov, A., Paringer, R., Kirsh, D.: Particular use of BIG DATA in medical diagnostic tasks. Pattern Recogn. Image Anal. 28(1), 114–121 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Hunan Chemical Vocational Technology CollegeZhuzhouChina

Personalised recommendations