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

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.