Signals
Notes from the frontier — grounded in the research.
Short, weekly syntheses on affect-aware AI, AI in computer-science education, and AI governance for leaders. Every claim is anchored to peer-reviewed literature with a DOI.
AI can write the code. The real question is whether the student still learns.
Generative AI can pass entire intro programming courses — but the literature shows the danger isn't bad code, it's bypassing the reasoning that learning to program is for. The design goal: support thinking, don't supplant it.
Jul 7, 2026 → AI in CS EducationAffect-aware tutoring is growing up — and 2024's frontier is explainability
Emotion-aware tutoring systems have crossed from promise to engineering discipline. The harder question now isn't whether a system can read a learner's affect, but whether it can explain why it acted on it — and that's a governance question as much as a research one.
Jun 22, 2026 → AI GovernanceYour AI problem isn't the model — it's governance
The economic case for AI is settled, yet most enterprise AI never ships. The bottleneck is rarely capability; it's governance — and the boards that treat it as an enabler, not a brake, are the ones that win.
Jun 9, 2026 →