Learning With AI: Cosmogogical Collaboration in the Human-AI-World Ecosystem

Learning With AI: Cosmogogical Collaboration in the Human-AI-World Ecosystem

As generative AI enters the mainstream of higher education, this paper explores a transformative vision for AI not as a tool, but as a co-learner embedded in global, interdisciplinary collaboration. Grounded in the Online Global Collaborative Learning Framework and the Cosmogogical principle of learning with rather than about the world, it introduces the Human-AI-World ecosystem as a foundation for designing participatory, ethically grounded educational experiences. This work-in-progress documents an evolving practice of creating AI agents that support asynchronous, crosstime-zone student groups through reflection, continuity, and culturally sensitive provocation. Central to this exploration is the Global Collaborator Mindset, which articulates four core learner and educator attributes—Connection, Openness, Innovation, and Autonomy—that enable meaningful engagement in AI-augmented, flat learning contexts. The paper investigates how these attributes intersect with AI capabilities to emphasise ethical reflexivity, intercultural understanding, and adaptive, real-world problem-solving. Rather than offering fixed solutions, the paper shares insights from ongoing implementation and invites further inquiry into how AI agents might evolve as ethical collaborators within the Human-AI-World triad. It aims to provoke discussion around pedagogy, agency, and knowledge co-creation in the GenAI era—pointing toward a future where AI and humans learn, adapt, and innovate together.

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