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Ideological and political exploration for teaching contents of recommendation system course

Jianxi Zhao

Abstract


In the current process of vigorously promoting c urriculum ideological and political education, big data and artificial
intelligence courses are the forefront of ideological and political construction, and recommendation system is an important direction of big
data and artifi cial intelligence. In this paper, some ideological and political elements are integrated into the deeds of outstanding fi gures and
the examples in the recommendation system course. From the spiritual quality of outstanding fi gures, which is refl ected in the process of
scientifi c research, and the ideological and political replacement and emphasis of basic materials of some examples, students are helped to
put up correct “Three Outlooks” a nd feelings of family and country and it is expected to promote the ideological and political construction
of the r ecommendation system course to a certain extent.

Keywords


Recommendation system course, teaching contents, deeds i deological and political education, examples ideological and political education

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References


[1] Gang Lin, Qun Chen, Zhiping Zeng. I deological and political construction of big data technology course in applied undergraduate colleges [J]. Computer

Education, 2021(09): 32-36.

[2] Dazhou Li, Jian Gao. Exploration of integrating curriculum ideological and political education into practical teaching of data science and big data

technology [J]. Chinese Education Informatization, 2021(20): 93-96.

[3] Xuan Zheng, Xiaopan Ding, Lanzhen Chen. The integration and practice of ideological and political elements and MOOC in the course system of medical

big data [J]. Journal of Gannan Medical College, 2021, 41(12): 1285-1288.

[4] Nan Guo, Jiaoyi Leng, Jianhong Gong. Exploration of ideological and political construction in postgraduate courses under the background of new

engineering -- taking artifi cial intelligence course as an example [J]. Science and Education Literature Review (Midday Issue), 2021(04): 105-106.

[5] Jiale Zhou, Teng Wu. Exploration and practice of integrating ideological and political education into professional courses -- taking “artifi cial intelligence”

course as an example [J]. Modernization of Education, 2019, 6(69): 175-176+187.

[6] Xingguo Tan, Xiaohong Li, Zhengqiang Zhao, Xueying Dou, Ruiling Xu, Wei Sheng. Exploration on ideological and political construction of introduction

to artifi cial intelligence course under the background of new engineering [J]. Journal of Higher Education, 2022, 8(18): 186-189.

[7] Juan Luo, Chun Wang, Xuan Liu, Xiaoying Li. Teaching reform and practice of introduction to computing and artifi cial intelligence course [ J]. Computer

Education, 2022(05): 136-140.

[8] Yi Yuan, Xiushan Nie, Xiaoming Xian. Research on ideological and political construction of artifi cial intelligence professional courses for targeting the

multi-level training goal [J]. Computer Knowledge and Technology, 2021, 17(25): 231-232.

[9] Xinmin Pang. Exploration on ideological and political teaching of “artifi cial intelligence and intelligent manufacturing” course under the background of

new engineering [ J]. China Equipment Engineering, 2021(21): 238-239.

[10] Xiaohua Peng, Juhua Tan, Fen Qiu. Design of recommendation systems based on big data about ideological and political teaching resources [J].

Information and Computer (Theoretical Edition), 2022, 34(14): 227-229.

[11] F an Zhang, Guoquan Liu. Research on recommendation systems based on improved collaborative fi ltering algorithms about college ideological and

political courses [J]. Microcomputer Applications, 2020, 36(09): 1-4.




DOI: http://dx.doi.org/10.18686/modern-management-forum.v7i12.11903

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