AI is shifting exams from one‑size‑fits‑all to adaptive, authentic, and feedback‑rich assessments—while requiring transparency, human oversight, and privacy protections to keep results fair and trustworthy. What AI already improves Beyond right/wrong: better feedback Authentic and AI‑resilient assessment Integrity, fairness, and explainability What to avoid with proctoring India outlook 30‑day rollout for a course Bottom line: … Read more
AI can grade certain tasks reliably and at scale, but fairness depends on rigorous validation, transparency, and continuous bias checks—with humans retaining authority over high‑stakes decisions. What AI can grade well The fairness problem How to evaluate fairness and validity Governance and rights Where humans must stay in the loop 30‑day pilot for fair AI … Read more
Core idea AI is transforming grading by automating scoring for objective items and assisting on open‑ended work with rubric‑aligned feedback, enabling faster turnaround, richer insights, and more consistent evaluation—so teachers spend more time coaching while systems ensure transparency, fairness, and continuous learning. What AI makes possible 2024–2025 signals Why it matters Design principles that work … Read more