AI in Education
📰ArticleUniversities

Why universities need to radically rethink exams in the age of AI

AI in Education Editorial•
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••Updated June 2, 2026•1 min read•Read source
Why universities need to radically rethink exams in the age of AI
🌍Global🏛️Administrators🎯Assessment👨‍🎓Students👩‍🏫Teachers👤Policymakers+6 more

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Analysis & Perspectives

How AI Grades Handwritten Math (And Where It Still Struggles)

AI grades handwritten math by reading the page with specialized handwriting recognition, then evaluating each step of a solution rather than just the final answer. Here is how that pipeline works and where it still breaks down.

What AI Grading Analytics Reveal About Learning Gaps

AI grading analytics turn a pile of scores into concept-level diagnoses, showing exactly where a class or student is stuck. Here is how educators can read that data and act on it.

People Also Ask

What recent news of AI is most relevant for classroom teachers?▾
Most relevant for classroom teachers is news about AI writing and detection tools, institutional AI policies, research on AI tutoring effectiveness, and practical guides for integrating AI into lesson planning. Organizations like ISTE and ASCD regularly synthesize these updates for educators.
How has news of AI changed public perception of education?▾
News of AI in education has sparked significant public debate, shifting perception from technology as neutral tool to technology as a values-laden decision. Parents, policymakers, and educators are increasingly engaged in conversations about what learning should look like when AI can perform many traditional academic tasks.
What news of AI should schools track for policy planning?▾
Schools should track news on AI in standardized testing, AI acceptable use frameworks from peer districts, legal developments around student data privacy with AI tools, and emerging research on AI impact on reading and writing skill development.
How do I teach students to critically assess news of AI?▾
Teach students to ask who published the story and what their interests are, what evidence supports the claims, and whether the story conflates narrow AI capabilities with general intelligence. AI news is frequently misrepresented in both optimistic and alarmist directions, making critical evaluation essential.

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