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AI-Assisted Teacher Wellness: Theory and Practice
Abstract
The Canadian and American teaching profession is known to be stressful, leading to burnout and other mental health issues for teachers. This chapter proposes an AI-assisted teacher wellness theory (AI TeachWell) and a supporting product/feedback/learning (PFL) framework for increased teacher well-being through the strategic use of AI chatbot technology. The theory emphasizes the use of resources that offset the demands of teaching, the importance of reducing cognitive load, and the increase of autonomy, efficacy, and relatedness. This chapter highlights the reasons that have led to increased teacher workloads, such as demands on teacher performance, administrative tasks, and professional development. It also highlights the effects of a lack of resources, time, and self-efficacy on teacher stress and burnout. The chapter concludes by offering innovative and proactive solutions for teachers to prioritize their health while fostering engaging and effective learning environments for their students, as well as the future implications of this theory.
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