Pursue ethical AI feedback use as a collective effort across multiple stakeholders in and beyond higher education¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article states that "promoting the ethical use of AI requires a collective effort from multiple stakeholders in and beyond higher education." This strategy assigns responsibility for ethical AI feedback practices beyond individual teachers, implicating institutional leaders, policymakers, and other parties in developing norms, policies, and supports for AI-assisted feedback.

Design Implications¶

Context¶

Requirements¶

• Coordination among stakeholders inside and outside higher education is needed to promote ethical AI use.

Constraints¶

• The study's own focus is teachers; the collective-effort recommendation extends beyond the study's primary scope.

Target Learners¶

• university students in higher education

Target Learning Goals¶

• ethical institutional practices for AI-supported feedback

Related Strategies¶

• Foster communities of practice for AI governance instead of rigid top-down policies
• Pursue sustainable AI integration in PBL through attention to design, ethics, and policy

Examples¶

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Key Sources¶

• Luo, J. (Jess), & Eaton, S. (2026). Is It Ethical for Teachers to Use AI for Student Feedback?. Journal of University Teaching and Learning Practice, 23(3). https://doi.org/10.53761/887m5346