Move beyond permit-or-restrict GenAI policies toward policies that clarify appropriate use, support equitable access, and extend rather than replace independent reasoning¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article's concluding recommendation is that educators should design GenAI course policies that go beyond simple permission or prohibition. As the authors put it, "Policies should clarify appropriate uses, support equitable access, and help students use GenAI to extend rather than replace independent reasoning." This follows from their findings that access conditions, instructor policy, and reliance type shaped uneven learning outcomes. It is addressed to instructors and institutions in higher-education AI-related courses.

Design Implications¶

Context¶

Requirements¶

• Instructors and institutions set course-level GenAI policies that students can perceive and interpret

Constraints¶

• Findings come from survey responses at a single R1 university and may not represent broader student populations

Target Learners¶

• undergraduate and graduate students in AI-related and data-intensive courses

Target Learning Goals¶

• independent reasoning and critical evaluation when using GenAI in coursework

Related Strategies¶

• Transition from restrictive AI governance to frameworks that formally integrate operational and epistemic workflow competencies with subject-sensitive guidance
• Institutional governance should establish practical conditions supporting AI literacy, learner agency, and critical evaluation rather than relying on prohibition and detection
• Institutions should respond to generative AI in education with guided critical engagement rather than prohibition
• Graduate the AI policy across the curriculum so that permitted AI use tracks each course's pedagogical purpose
• Provide explicit pedagogical guidance on effective and ethical GenAI use within specific assessment contexts, beyond prohibitions
• Universities should provide vivid guidelines and education on how and where ChatGPT may be used for learning

Examples¶

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Key Sources¶

• Manikonda, L.; Si, M.; Munira, S.; Seneviratne, O.; Bennett, K. (2026). The Uneven Impact of Generative AI on Student Learning: Examining the Roles of Reliance, Evaluation Literacy, and Course Policy in AI-related Courses. https://arxiv.org/abs/2609.18676. doi:10.48550/arxiv.2609.18676