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This conceptual paper introduces "intellectual stewardship" as a framework for human adaptation in AI-augmented learning environments, emphasizing the responsible governance of intellectual processes distributed across human and artificial systems. It outlines five core principles鈥攂eing knowledge-wise, intelligence-wise, context-wise, ethics-wise, and self- and community-growing鈥攖o guide this stewardship. The framework aims to cultivate wisdom-oriented and socially responsible knowledge builders in the age of AI.
Forget coding skills, the future of education is teaching "intellectual stewardship"鈥攁 framework for humans to responsibly govern AI-augmented knowledge creation.
Background: Amid the opportunities and risks introduced by generative AI, learning research needs to envision how human minds and responsibilities should re-adapt as AI continues to augment or automate various tasks. Approach: Drawing on theories of learning, intelligence, and knowledge creation, this conceptual paper proposes intellectual stewardship as a human-centered, conceptually grounded framework for advancing creative learning practices with AI. Key points: Students and teachers work as responsible governors of intellectual processes distributed across human and artificial systems, guided by five core principles. Being knowledge-wise involves understanding the evolving state of knowledge and taking purposeful actions to advance it. Being intelligence-wise emphasizes making informed choices about how to orchestrate distributed cognitive processes and resources. Being context-wise requires sensitivity to recognize opportunities and risks. Being ethics-wise foregrounds ethical judgment, responsibility, and care in the use of knowledge and intellectual power. Finally, self- and community-growing defines the overarching purpose, aligning intellectual work with personal development and the advancement of collective well-being. Contribution: The principles provide a lens for viewing the adaptation of human minds in AI-infused learning environments, calling for the development of meta-level dispositions and capabilities that characterize wisdom-oriented, socially responsible knowledge builders in the AI age.
