18 peer-reviewed papers and reports across three collections — from foundational AI literacy theory to the most recent findings on metacognition and GenAI in K–12 classrooms.
The most current evidence on AI in education, including the landmark Purdue metacognitive laziness study, new data on student wellbeing, and updated guidance from UNESCO and the White House Office of Science. Essential reading before any school AI policy decision in 2026.
Six papers responding directly to the GenAI inflection point: studies on AI literacy frameworks updated for LLMs, K–12 ethics education models, teacher professional development needs, and audit frameworks for schools adopting AI tools. The evidence base schools should cite when building policy.
The five foundational papers that established the conceptual vocabulary of AI literacy in K–12 education. Includes the definitive Long & Magerko AI literacy competency framework, the UNESCO guidance that shaped national policies, and key classroom-level empirical studies pre-ChatGPT. The bedrock for any serious AI governance programme.
Each research collection maps to specific phases of the Togno AI in Practice programme. Foundational papers underpin the policy framework and governance model. GenAI era research informs the professional development curriculum and teacher coaching. The ultra-recent collection is cited in the SARDC diagnostic instrument and in client presentations where up-to-date evidence is critical to stakeholder buy-in.