Author: Nizam Kadir
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LearnAdapt Agentic Studio Selected for Showcase at AIED 2026
LearnAdapt Agentic Studio and PedOS 1.1 Lumina have been accepted to the AIED 2026 Interactive Events Track and selected to be showcased at the 27th International Conference on Artificial Intelligence in Education. This milestone recognises our work on no-code pedagogical plugin authoring, enabling teachers to move from classroom problems to AI teammates they can build,…
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Critsly Selected for Showcase at AIED 2026
We are excited to share that Critsly has been accepted to the AIED 2026 Interactive Events Track and selected to be showcased at the 27th International Conference on Artificial Intelligence in Education. Our submission, “Critsly: An Artefact-Aware AI Critique Teammate for Design Education and Project-Based Learning”, will be featured as part of the interactive programme,…
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The Future of Agentic AI in Education: Co‑designing with Teachers
Agentic AI refers to autonomous systems capable of setting goals, planning and executing multi‑step workflows across educational tools. A 2026 review of 28 studies found that most teacher‑AI collaboration involves AI supporting lesson planning and content generation rather than true co‑design. With analysts predicting that 40 % of enterprise applications will embed specialised AI agents by…
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Correct Is Not the Same as Learned
AI tutors can help students reach the right answer faster, but correctness alone does not prove durable understanding. As AI becomes more embedded in education, we need to ask whether learners are truly building mastery, or simply performing well with assistance. The future of educational AI should not just optimise for immediate success, but for…
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Modern Alchemy: The Mythologies of AI in Education
In our rapid pursuit of educational innovation, we frequently fall victim to a new kind of mythology. When a learner interacts with a monolithic Large Language Model, the process is heavily shrouded in an illusion of magic—a frictionless exchange that conceals the critical, underlying cognitive mechanics. We are tempted to treat these black-box systems as…