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This study examines the role-related impacts of working with an intelligent assistant. Using collaborative autoethnography, we analyse the impact of working with an intelligent writing assistant (IWA) on our roles as teachers. Drawing on role theory, we find that working with the IWA had significant impacts on role enactment, role set, role multiplexity, role stress, and role self-concept. The social setting for role enactment changed as key dyadic relationships became triadic, and the IWA assumed a co-regulatory role, mediating our performance as coregulators of student learning. Collaborating with the IWA created a need to maintain control by switching between micro-identities (our role of teacher/mentor and our new role of mentee of the IWA). The study demonstrates that significant role-related impacts can arise from human-machine collaboration when AI aims to enhance human performance. It highlights the need for new adaptive capabilities as humans become involved in new triadic human-AI relationships.



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