Focus staff development on the judgement work of AI integration rather than tool training¶

Strategy · All strategies
Evidence · no claims cited

Description¶

For the shift from teacher-centric delivery to AI-augmented facilitation, the article recommends that educator development move beyond tool training toward integration judgement: deciding when AI should be invited into learning tasks, when it should be withheld, and making those decisions visible to students. The article states "staff development must focus less on tool training and more on the judgement work of integration". This is grounded in constructivist readings of AI as scaffolding and in TPACK's educator-capability requirement.

Design Implications¶

Context¶

Requirements¶

• Educators need TPACK-style integration of technological, pedagogical and content knowledge for classroom decisions about AI

Constraints¶

• Derived from the facilitation system shift; the framework itself is positioned as a heuristic requiring further empirical validation

Target Learners¶

• university educators
• academic staff developers

Target Learning Goals¶

• educator capability for AI-augmented facilitation
• visible integration judgement in teaching with GenAI

Affordances¶

• Ai Augmented Learning System Framework

Related Strategies¶

• Structure AI-focused professional development as a supported trajectory of planning, reflection, design autonomy, and embedded critical AI literacy
• Embed structured AI literacy in business curricula: teach verification, comparison, and transparent AI-use declarations rather than restricting or unrestrictedly encouraging GenAI
• Use technology-mediated learning to shift the trainer's role from knowledge provider to facilitator and foster reflection

Examples¶

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Key Sources¶

• Alvedi Sabani, Mohamed H. Farah, Putra Endi Catyanadika, Dian Retno Sari Dewi, Vineet Tawani. (2026). Rewriting the curriculum: A systematic review of generative AI-driven pedagogical change and emerging systems of learning in higher education. Computers and Education: Artificial Intelligence 11 (2026) 100667. https://doi.org/10.1016/j.caeai.2026.100667