Tripartite institutional response: AI literacy, ethical infrastructure, and competence-based educator training¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 review), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The review's central practical contribution is a tripartite framework for responsible integration of agentic AI in higher education. As the abstract states, "Realising the benefits of agentic AI while containing its risks requires a tripartite institutional response: devel - oping AI literacy, establishing ethical infrastructure, and delivering competence-based educator training." The three components address the risks the synthesis documents: cognitive dependency, algorithmic bias, cultural homogenisation, and inadequate faculty preparedness. Institutions are advised to pursue all three strands together rather than piecemeal adoption.

Design Implications¶

Context¶

Requirements¶

• Institutional commitment across governance, faculty development, and student-facing AI literacy simultaneously

Constraints¶

• Longitudinal empirical studies are needed to establish causal claims about learning outcomes; the review notes the evidence base is dominated by case studies with few randomised controlled trials

Target Learners¶

• higher education students
• university faculty and institutional leaders

Target Learning Goals¶

• AI literacy for students and staff
• ethical and competent institutional use of agentic AI systems

Claims¶

• College leaders identify educator unfamiliarity with GenAI, lack of training infrastructure, and institutional unpreparedness as key challenges [+W]

Related Strategies¶

• Institutional governance should establish practical conditions supporting AI literacy, learner agency, and critical evaluation rather than relying on prohibition and detection
• Foster communities of practice for AI governance instead of rigid top-down policies
• Pursue inclusive digital strategies, educator professional development, and ethical AI governance for AI in adult education
• Higher education leaders should develop more inclusive and future-oriented GenAI policies integrating social equity, interdisciplinary experimentation, and sustainability considerations
• Ground AI integration in higher education on core principles of human agency, academic freedom, transparency, ethics, inclusivity, and critical thinking
• Four strategic recommendations for supporting AI literacy across settings

Examples¶

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Key Sources¶

• Simon Baradziej. (2026). A systematic review of the roles of agentic AI in higher education. Social Sciences & Humanities Open. https://doi.org/10.1016/j.ssaho.2026.103418