The GENIAL framework sheds light on the dynamics of AI-human interaction at all stages of the experiential learning cycle, allowing us to identify how GenAI tools affect the learning journey.
The framework reveals how students learn with GenAI and identifies if critical steps are missed. By introducing a diagnostic notation that maps GenAI interactions onto Kolb's learning stages, the framework enables educators to mark whether each stage is catalysed (+), disrupted (-), or skipped entirely.
The Genial Framework helps us turn vague concerns about ‘AI cheating’ into a precise diagnostic evaluation, enabling educators and policymakers to address the negative impacts of GenAI usage on learning as well as the curriculum.
→ Explore the Genial Framework in more detail.