Three-part strategy for responsible AI use in education: empower reasoning, foster emotional well-being, and provide institutional support¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The paper proposes that AI in education should follow three principles. First, empower reasoning: prioritize constructivist, active learning, and metacognitive strategies so that "rather than providing direct answers, AI tools should be used to support scaffolding, prompting deeper reflection, reasoning, and understanding". Second, foster emotional well-being through guidance on how and when to use AI, metacognitive training, and preserving meaningful human interaction. Third, institutional support: robust AI literacy programs, professional development for educators, and clear policies on transparency, data privacy, acceptable AI use, and equitable access. The paper notes only 25% of U.S. colleges currently offer formal AI training.

Design Implications¶

Context¶

Requirements¶

• Requires targeted educational, ethical, and infrastructural strategies, including AI literacy programs and educator professional development

Constraints¶

• The paper states such alignment needs to be continuously assessed, not assumed

Target Learners¶

• students at all educational levels using AI tools
• educators and institutions integrating AI

Target Learning Goals¶

• critical thinking
• responsible and informed AI use
• emotional well-being
• academic integrity

Affordances¶

• Four Area Ai Education Risk Framework

Related Strategies¶

• Four design principles for educational AI that empowers epistemic agency rather than passive offloading

Examples¶

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Key Sources¶

• Favero, L., Pérez-Ortiz, J. A., Käser, T., & Oliver, N. (2025). Do AI tutors empower or enslave learners? Toward a critical use of AI in education. Applications of Generative AI to support teaching and learning in Higher Education, co-located with AIED 2025, Palermo, Italy. https://arxiv.org/abs/2507.06878. doi:10.48550/arxiv.2507.06878