AI literacy and health literacy are increasingly important educational agendas, but their relationship cannot be understood simply by adding wellbeing to digital competence. This article develops embodied education as an orientation for examining how learners judge AI‐supported activity within bodily, temporal and institutional conditions. Using a critical integrative conceptual approach, it brings together research on AI and health literacies, embodied learning, digital wellbeing and human–AI interaction. Its central concept is embodied judgement: the context‐sensitive appraisal of technological possibilities, bodily and affective experience, educational purposes and feasible courses of action. The framework distinguishes four interdependent components with different analytical roles: bodily awareness supplies experiential cues; situated judgement interprets those cues alongside evidence and task demands; movement‐based learning provides one pedagogical means of developing and revising understanding; and ethical agency concerns justified action and responsibility towards others. Institutional arrangements and embodied differences condition the entire process. The article identifies tensions between assisted performance and independent learning, rapid feedback and deliberation, and continuous availability and recovery, without assuming that AI necessarily intensifies these tensions. It develops classroom activities, provisional indicators and an illustrative policy comparison of Norway, Finland and Singapore. The contribution is a relational account of the AI–health literacy interface, not a validated scale or intervention. A research agenda specifies how its mechanisms, institutional conditions and accessibility implications can be investigated.
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Zhong et al. (2026) studied this question.
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