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2024 Vol.7 Aug.N04

  • Title: Analysis of the Ideological and Political Teaching Model of
  • Name: Ruihua Li, Hanye Liu, Fei Yang, Hui Zhang, Jiyan Lin
  • Company: (School of Information Engineering, Yulin University, Yulin, 719000)
  • Abstract:

    "Machine Learning" is one of the core courses in the era of artificial intelligence, exhibiting strong timeliness and applicability. The ideological and political education in this course is conducted from the perspectives of technological power, technological application, and professional dedication. Based on a thorough consideration of the academic situation of our university's students and the characteristics of local applied undergraduate education that emphasizes "applied" and "practical" structural settings, we incorporate the ideological and political elements of "one algorithm, one material" into the classroom teaching content from the perspective of moral education and character cultivation. This approach not only makes the monotonous and boring professional course learning more vivid, but also deepens students' understanding of the course. At the same time, it realizes a collaborative education mechanism combining knowledge teaching, ability cultivation, and ideological and political guidance.


  • Keyword: Machine Learning; One Algorithm, One Material; Ideological and Political Education in Courses
  • DOI: 10.12250/jpciams2024090811
  • Citation form: Ruihua Li, Hanye Liu, Fei Yang, Hui Zhang, Jiyan Lin.Analysis of the Ideological and Political Teaching Model of [J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.45-48
Reference:

[1] Wang Kangyi. Research on the Teaching Practice of Integrating Ideological and Political Elements into the Course of "Machine Learning and Data Mining" [J]. University, 2024, (15): 96-99.

[2] Zhang Fei. Exploration and Practice of Integrating Basic Machine Learning Courses with Ideological and Political Education [J]. Life and Partner, 2024, (06): 79-81.

[3] Yan Xiaomei, Chen Guirong, Chen Aiwang. Research and Practice of Ideological and Political Teaching in the Course of Machine Learning and Its Application in Military Colleges and Universities [J]. Computer Education, 2024, (01): 41-45. DOI: 10.16512/j.cnki.jsjjy.2024.01.004.

[4] Wang Xingmei, Yang Dongmei, Cai Chengtao. Research on the "Five Integrations" Innovative Talent Training Model under the Background of New Engineering - Taking the Course of "Machine Learning" as an Example [J]. Science Education Herald, 2024, (01): 80-82. DOI: 10.16400/j.cnki.kjdk.2024.1.026.

[5] Huang Meiyan. Ideological and Political Teaching Design for the Course of "Machine Learning" [J]. Journal of Educational and Teaching Forum, 2023, (49): 59-62.

[6] Yue Rentian, Wang Hongyong, Li Shanmei. Reform and Practice of Ideological and Political Teaching in Basic Machine Learning Courses [J]. Higher Education Tribune, 2023, 9(23): 193-196. DOI: 10.19980/j.CN23-1593/G4.2023.23.045.

 


Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16