Embed AI policy literacy, peer-led communities of practice, and shared AI resources into professional development¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article's recommendations for professional development design are threefold: "embedding artificial intelligence policy literacy into professional development, fostering peer-led communities of practice, and creating shared resources on artificial intelligence." These respond directly to the qualitative finding that educators struggled to reconcile institutional policy gaps with personal ethical values, and they extend PD beyond individual technical skill toward collective, policy-informed practice.

Design Implications¶

Context¶

Requirements¶

• Institutional and peer infrastructure to sustain communities of practice and shared resource creation

Constraints¶

• Recommended in the context of Global South higher education EAP settings; the article notes the PD model's scalability needs further research

Target Learners¶

• Higher education EAP educators

Target Learning Goals¶

• AI policy literacy
• Collective ethical practice around generative AI
• Shared resource development

Related Strategies¶

• 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
• Support faculty AI literacy through needs assessment, targeted training, teaching resources, and communities of practice
• Supports to Raise Teachers' Expectancy and Value and Lower Cost for AI Use
• Convene cross-functional generative AI task forces to guide ethical adoption decisions and procurement
• Fund AI literacy initiatives integrating AI ethics into curricula and adapting assessments
• Bridge the AI intention-practice gap through digital infrastructure, professional development, and supportive institutional policies
• Embed critical AI literacy into curricula and institutional practices in higher education
• Use findings on instructor power relations to inform professional development for responding to Generative AI
• Professional development for AI ethics should create spaces for contextualised critique and resistance

Examples¶

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Key Sources¶

• Alharbi, W., Hamid, S., Abbas, S., & Salieva, Z. (2026). Ethical Generative AI Integration in English for Academic Purposes within Higher Education: A Mixed-Methods Study. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/xwb6h668