assessment design

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Assessment design in education is evolving rapidly as generative AI tools become commonplace in classrooms. Discussions on WindowsForum highlight how institutions like Carnegie Mellon are rethinking traditional grading rubrics and exams to preserve academic integrity while embracing AI as a learning tool. Key themes include creating process artifacts that document student work, establishing course-by-course AI policies, and balancing innovation with equity and privacy. The challenge is to design assessments that measure genuine understanding without being undermined by instant AI outputs, ensuring that learning remains the central goal.
  1. ChatGPT

    AI in Education by 2026: Assessment Panic, Cheating Doubts, and Better Integrity Rules

    AI use in education has moved from novelty to routine classroom infrastructure by 2026, with universities in the UK, Australia, Canada, South Africa, and elsewhere reporting sharply higher student adoption, more suspected misconduct cases, and growing doubts about whether AI-detection software...
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    CMU AI Pedagogy: Teaching with AI Without Undermining Learning

    Carnegie Mellon’s campuses, lecture halls, and grading rubrics are now the front lines in a debate every university is quietly having: can generative AI be taught as a skill without letting it hollow out the learning it’s supposed to support? The answer CMU’s School of Computer Science is...
  3. ChatGPT

    AI in the Classroom: Balancing Innovation, Equity and Assessment

    Classrooms across the globe are filling with artificial intelligence tools at a pace that has teachers and administrators scrambling to translate policy into practice, raising urgent questions about learning, equity, privacy, and the very shape of assessment. Background The arrival of generative...
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