Volume 4,Issue 3
Towards Others: The Concealment and Unconcealment of Students’ Subjectivity in Human-Machine Collaborative Teaching
The widespread application of artificial intelligence technology has not only promoted the development of human-machine collaborative teaching but also provided more possibilities for the development of students’ subjectivity, profoundly influencing the way of understanding students’ subjectivity. In the process of human-machine collaborative teaching, students, as ethical subjects of unknowability and irreducibility, are simplified to calculable and predictable behavioral indicators, facing the risk of being obscured. Based on this, this study systematically analyzes the specific manifestations and generation mechanisms of students’ subjectivity alienation in human-machine collaborative teaching from Emmanuel Levinas’s “Otherness” theory, and explores possible paths to achieve the disclosure of students’ subjectivity in the process of human-machine collaborative teaching, enabling students to fully exert their subjective initiative and achieve comprehensive and free development.
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