Human-AI Collaboration in Curriculum Reform: A Posthuman Investigation into AI Driven Class in Chinese University Cover Image

Human-AI Collaboration in Curriculum Reform: A Posthuman Investigation into AI Driven Class in Chinese University
Human-AI Collaboration in Curriculum Reform: A Posthuman Investigation into AI Driven Class in Chinese University

Author(s): Haitao Wang, Hangxuan Zhao, Yiwei Li, Hailong Zhang
Subject(s): Ethics / Practical Philosophy, Philosophy of Science, School education, Higher Education , ICT Information and Communications Technologies, Sociology of Education, Distance learning / e-learning, Philosophy of Education
Published by: Transnational Press London
Keywords: Posthuman Pedagogy; Artificial Intelligence; Teacher Identity; Human–Machine Collaboration; Higher Education; Qualitative Study;

Summary/Abstract: As artificial intelligence (AI) technologies become increasingly integrated into higher education, university instructors are compelled to navigate shifting pedagogical landscapes and reconfigure their professional identities. This qualitative study investigates how university teachers in China perceive and negotiate their roles in AI-mediated classrooms, using a posthumanist theoretical framework to explore human–machine entanglements in pedagogy. Drawing on semi-structured interviews with six instructors across diverse disciplines, the study identifies three emergent orientations toward AI: as an assistant, a collaborator, and a threat. The study demonstrates how AI integration provokes both pragmatic adaptation and deep-seated identity renegotiation, underscoring the affective, ethical, and epistemological tensions of educational transformation.

  • Issue Year: 5/2025
  • Issue No: 6
  • Page Range: 2945-2953
  • Page Count: 9
  • Language: English
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