TITLE:
The Role of AI Agents in Enhancing Teachers’ TPACK: Mechanisms, Challenges, and Coping Strategies
AUTHORS:
Jinying Chen
KEYWORDS:
AI Agents, TPACK, Teacher Professional Development, Human-AI Collaboration, Educational Technology, Ethical Governance
JOURNAL NAME:
Open Journal of Modern Linguistics,
Vol.15 No.6,
December
24,
2025
ABSTRACT: Against the backdrop of artificial intelligence technology deeply permeating the educational ecosystem, Educational AI Agents, characterized by their high degree of autonomy, interactivity, and adaptability, present new possibilities and paradigms for teacher professional development. The TPACK (Technological Pedagogical Content Knowledge) framework, as a core theoretical construct measuring the capability of teachers to deeply integrate information technology with education, is critical for teachers adapting to the intelligent era. This study aims to systematically explore the specific mechanisms by which AI Agents enhance various dimensions of teachers’ TPACK, while deeply analyzing multiple challenges encountered in application, including algorithmic limitations, cognitive and practical barriers of individual teachers, and profound ethical and governance issues. The study posits that AI Agents can serve as “Cognitive Tools”, “Reflective Mediators”, and “Practical Partners”. By simulating complex pedagogical contexts, providing immediate data-driven feedback, and assisting in curriculum design and resource generation, they facilitate the deepening, intersection, and integration of teachers’ Technological Knowledge (TK), Technological Content Knowledge (TCK), and Technological Pedagogical Knowledge (TPK). However, the “black box” nature of algorithms, potential entrenchment of bias, teachers’ digital literacy barriers, risks of ceding professional autonomy, and data security concerns cannot be overlooked. Accordingly, this study proposes a systematic coping strategy centered on “Human-AI Collaboration, Teacher-Centeredness, and Ethics-First”. Core to this strategy is the development of explainable, intervenable, and pedagogy-aware AI Agents, the innovation of reflective practice-based TPACK training models, and the establishment of robust algorithmic ethical review and data governance frameworks. The ultimate goal is to provide a pathway for teacher professional development in the intelligent technology environment that possesses both theoretical depth and practical viability.