关键词: 大数据 AI, 外国文学, 课程思政, 物化, 认知—情感—行为, 中国文化

Abstract:

In the big data and AI era, the primary task of ideological and political education in foreign literature courses is to resist the large-scale online transplantation of Western ideologies. The main goal is to cultivate students’ ability to form a cross-cultural cognitive competence based on self-cultural subjectivity. There are two root causes for the danger initiated by the transplantation. One is that Western ideologies can flow unimpeded into the virtual world through blockchain technology, influencing the Chinese students immersed in it. The other is that Western ideologies may construct information cocoons through algorithmic filtering as well as information selecting and sending, thus manipulating students’ thinking. This article, on the basis of the three-dimensional framework of “cognition, affect, and behavior”, proposes to adhere to a Chinese stance in teaching designs and enhance students’ cognition of their ideological subjectivity to shield themselves from being eroded and objectified. Moreover, Chinese cultural conceptions should be integrated into the teaching, and an AI-empowered reflective and critical study should be adopted to improve students’ sense of responsibility for themselves, their family, and their nation, to sharpen their aesthetic perception, and to upgrade their capability of value judgment. Only in this way can the students have a strong and steadfast ego and resist the objectification and manipulation of Western ideologies.

Key words: big data and AI, foreign literature, ideological and political education, objectification, cognition-affect-behavior, Chinese culture