Research on the Current Status and Innovative Pedagogical Models of the “Academic-Teaching-Instructing” Tripartite Teacher-Student Relationship from an AI-Enabled Perspective
Against the backdrop of deep integration between artificial intelligence and higher education, the traditional one-dimensional teaching model of teacher-student relationships at universities has struggled to meet the demands of nurturing talents in the new era. The “trinity” teacher-student relationship—encompassing academic research, classroom teaching, and growth instructing—has become a crucial vehicle for universities to fulfill the fundamental mission of fostering virtue and talent, as well as to establish a comprehensive education system. This study employs a mixed-methods approach combining questionnaire surveys and semi-structured interviews, targeting university students, frontline instructors, and academic advisors as research subjects. It systematically examines the evolving realities of the trinity teacher-student relationship following the integration of AI technologies into university education settings, identifies practical challenges in current educational practices, clarifies the genuine needs of both teachers and students regarding AI-enhanced education models, and explores feasible, scalable innovative pathways for collaborative teacher-student education. The findings provide practical references for universities to optimize teacher-student relationships and refine their integrated education systems through the assistance of artificial intelligence.
Cite this paper
Wu, J. (2026). Research on the Current Status and Innovative Pedagogical Models of the “Academic-Teaching-Instructing” Tripartite Teacher-Student Relationship from an AI-Enabled Perspective. Open Access Library Journal, 13, e15838. doi: http://dx.doi.org/10.4236/oalib.1115838.
Ministry of Education (2018) Artificial Intelligence Innovation Action Plan for Higher Education Institutions. (In Chinese)<br>https://www.gov.cn/zhengce/zhengceku/2018-12/31/content_5443346.htm
He, Y.Y. and Zhou, B.M. (2026) Research on the Deep Integration Mechanism of “Artificial Intelligence + Higher Education” Based on Typical Application Scenarios, <i>China Higher Education Research</i>, No. 3, 21-29. (In Chinese)<br>https://doi.org/10.16298/j.cnki.1004-3667.2026.03.03
Gu, X.Q. and Yin, H.H. (2026) How to Adhere to the Original Intention of Educating Students in the “Teacher-Intelligence-Student” Three Element Teaching Ecology, <i>China Distance Education</i>, 46, 27-49. (In Chinese)<br>https://doi.org/10.13541/j.cnki.chinade.2026.04.002
Wang, W. and Deng, Y.C. (2025) The Symbiotic Logic and Practical Path of Human-Machine Composite Educators, <i>Journal of Central China Normal University (Humanities and Social Sciences Edition)</i>, 64, 90-99. (In Chinese)<br>https://doi.org/10.19992/j.cnki.1000-2456.2025.04.008
Liu, X.L. and Zhao, J. (2026) Construction of a Model for Human Computer Collaborative Peer Assistance in Education, <i>Open Education Research</i>, 32, 89-97. (In Chinese) <br>https://doi.org/10.13966/j.cnki.kfjyyj.2026.02.009
Gong, X. and Yang, Z. and Jing, L.B. (2026) The Development of Artificial Intelligence Empowers Higher Education Reform: Theoretical Logic, Practical Difficulties, and Practical Paths, <i>Heilongjiang Higher Education Research</i>, 44, 17-22. (In Chinese)<br>https://doi.org/10.19903/j.cnki.CN23-1074/G.2026.05.003
Zhou, D.B. and Zhao, S. and Li, Q. (2024) Research on the Evaluation Method of Personalized Education for College Students through Human Machine Collaboration, <i>Journal of Xi</i>’<i>an Jiaotong University</i> (<i>Social Sciences Edition</i>), 44, 21-30. (In Chinese) <br>https://doi.org/10.15896/j.xjtuskxb.202403003
Bai, Y.J. (2026) Active Artificial Intelligence Drives the Transformation and Reconstruction of Higher Education, <i>Open Education Research</i>, 32, 45-55. (In Chinese)<br>https://doi.org/10.13966/j.cnki.kfjyyj.2026.04.005
Yang, Z.K. and Wang, J. and Wu, D. and Chen, X. (2023) Analysis and Countermeasures of the Impact of ChatGPT/Generative Artificial Intelligence on Education, <i>Journal of East China Normal University </i>(<i>Education Science Edition</i>), 41, 26-35. (In Chinese) <br>https://doi.org/10.16382/j.cnki.1000-5560.2023.07.003
Wang, S.Y. and Huang, Y.T. (2024) Promoting or Suppressing: The Impact of Generative Artificial Intelligence on College Students’ Creativity, <i>Research on Higher Education in China</i>, No. 11, 29-36. (In Chinese)<br>https://doi.org/10.16298/j.cnki.1004-3667.2024.11.05
Wu, F.T. and Gao, S.R. (2026) The Paradigm Shift of Classroom Teaching in the Era of Intelligence: The Structure and Form of Human Intelligence Integration, Research on Electronic Education, 47, 75-83. (In Chinese) <br>https://doi.org/10.13811/j.cnki.eer.2026.01.009