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Algorithmic Risks and Countermeasures of Ideological and Political Education in Colleges and Universities from the Perspective of Communicative Practice

Junhua You

Abstract


Algorithm recommendation has become the main means of social life information dissemination. As the forefront
of ideological work in colleges and universities, ideological and political education is more directly affected by algorithm
recommendations. There are algorithmic risks in the relationship between the lack of subjectivity of educators, the solidification and
closure of the value of the educated, and so on. The algorithmic risks exist in the field of communication, such as the personalization
of technical algorithm recommendation, the broadening of traditional ideological and political education, and the confusion of
values in mainstream ideology. The Marxist concept of communicative practice takes people as the basis of production practice,
and highlights the practical structure of ‘subject-object-subject’. It provides useful thinking for dealing with the algorithmic risks
of ideological and political education in colleges and universities. It is necessary to reconstruct the relationship between teachers
and students in ideological and political education and strengthen the construction of cultural positions in ideological and political
education in universities.

Keywords


Perspective of communication and practice; Colleges and universities; Ideological and political education; Algorithm recommendation

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References


[1] Xi Jinping emphasized at the National Conference on Ideological and Political Work in Colleges and Universities: Putting ideological and political work throughout the whole process of education and teaching to create a new situation for the development of China’s higher education [EB/OL]. [2016-12-09]. People’s Daily Online, http: //dangjian.people. com.cn / n1 /2016 /1209 /c117092 -28936962. html.

[2] Liu Wei. Communication Practice Ideological and Political Education Research [D]. Wuhan: Central China Normal University, 2008.

[3] Yu Guoming, Geng Xiaomeng. Recommendation of Intelligent Algorithms: Tool Rationality and Appropriate Value——From the Humanistic Reflection of Technical Logic to the Way of Appropriate Value Optimization[J]. Global Media Journal, 2018(4).

[4] Chen Changfeng. Intelligent Communication in the Future [J]. People’s Forum. Academic Frontier, 2017(12).

[5] Regulations on the Ecological Governance of Network Information Content [EB/OL]. National Internet Information Office, http://www.cac.gov.cn/2019-12/20/c_1578375159509309.htm.




DOI: https://doi.org/10.18282/l-e.v10i3.2462

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