"AI Co-conspiracy" and the Reshaping of Teacher Roles: A Study on the Development Path of Novel Teaching Intelligence in Higher Education

The rapid advancement of generative artificial intelligence is profoundly reshaping the pedagogical landscape of higher education, transforming the relationship between human teachers and intelligent machines from traditional "instrumental application" to "symbiotic collaboration." This paper introduces the concept of "AI Co-conspiring," which describes the deep synergy and bidirectional empowerment formed between teachers and AI under the guidance of teaching objectives. Under the "AI Co-conspiring" framework, the role of teachers faces a multifaceted transformation from "knowledge transmitter" to "learning ecosystem designer," "cognitive guide," and "value leader." Based on the concept of human-machine co-intelligence, this study systematically elaborates on the connotation of new teaching wisdom, reveals its dual developmental trajectory of "transformation of knowledge into wisdom" and "transformation of technology into wisdom," and constructs a three-stage progressive model of teaching wisdom generation encompassing "knowledge co-creation—thinking co-shaping—cognitive self-emergence." Further, the practical forms of new teaching wisdom are analyzed across four dimensions: teaching design wisdom, classroom interaction wisdom, evaluation feedback wisdom, and ethical judgment wisdom. Building on this foundation, the study proposes a multi-tiered teacher competency growth pathway centered on the TPAiK framework, a teaching support system oriented toward structural embedding, and an ethical framework guided by value-sensitive design as developmental pathways. The research demonstrates that "AI Co-conspiring" does not signify the dissolution of teacher subjectivity but rather presents an opportunity for the leapfrogging of teaching wisdom, ultimately aiming to construct a new higher education ecosystem characterized by human-machine collaboration and symbiotic prosperity.