Author: Nizam Kadir
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Featured in Berita Minggu: Designing AI That Helps Students Learn
Berita Minggu / Berita Harian profiles my 2026 Seed Award and the work behind machine pedagogical intelligence, co-designed educational AI and tools that keep educators central.
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Building the Next Educational AI With Partners: Inside the LearnAdapt Ecosystem
LearnAdapt is inviting educators, researchers, institutions and product teams to co-design focused educational applications around real learning problems, using PedOS, Agentic Studio and a wider governed ecosystem.
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Introducing LearnAdapt Praxis: A Five-Stage Journey from Learning to Workplace Practice
LearnAdapt Praxis helps adults move through Frame, Learn, Build, Validate, and Transfer while keeping their Design·AI learning journey visible to both learner and facilitator.
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Introducing TeamLens: Bringing Research into Critsly’s Plugin Development
Introducing TeamLens, Critsly’s new consent-based plugin for sharing self-reported MBTI types within a board. I reflect on its place in conversations about teamwork, our commitment to evidence-based plugin development, and how educators and researchers can help shape what we build next.
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Introducing RankCert: When Is Simulation Evidence Strong Enough to Select an AI Tutor?
RankCert tests when simulated learners support selecting one AI tutoring policy—and when structural uncertainty makes abstention the more defensible result.