Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence
Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, Sahan Bulathwela

TL;DR
This paper explores the evolving roles of teachers and generative AI in education, proposing a five-level framework for synergistic interactions that enhance collaboration, decision-making, and professional practice.
Contribution
It introduces a novel five-level framework for teacher-AI teaming, emphasizing synergistic collaboration and outlining future directions for ethical and effective integration.
Findings
Identifies five levels of teacher-AI interaction from transactional to synergistic.
Highlights the importance of collaborative decision-making between teachers and AI.
Discusses socio-technical factors for ethical and practical AI integration.
Abstract
Generative artificial intelligence (GenAI) is increasingly used in education, posing significant challenges for teachers adapting to these changes. GenAI offers unprecedented opportunities for accessibility, scalability and productivity in educational tasks. However, the automation of teaching tasks through GenAI raises concerns about reduced teacher agency, potential cognitive atrophy, and the broader deprofessionalisation of teaching. Drawing findings from prior literature on AI in Education, and refining through a recent systematic literature review, this chapter presents a conceptualisation of five levels of teacher-AI teaming: transactional, situational, operational, praxical and synergistic teaming. The framework aims to capture the nuanced dynamics of teacher-AI interactions, particularly with GenAI, that may lead to the replacement, complementarity, or augmentation of teachers'…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInnovative Teaching and Learning Methods · Intelligent Tutoring Systems and Adaptive Learning · Embodied and Extended Cognition
