Transcript analysis of students using ChatGPT during exams revealed progressive interaction patterns that shift assessment focus from solution production to solution verification.
Developing evaluative judgement for a time of generative artificial intelligence
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AI to Learn 2.0 is a deliverable-oriented framework with a seven-dimension maturity rubric and capability-evidence ladder that permits opaque AI for exploration but requires final outputs to be auditable, transferable, and supported by human-attributable evidence.
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Reimagining Assessment in the Age of Generative AI: Lessons from Open-Book Exams with ChatGPT
Transcript analysis of students using ChatGPT during exams revealed progressive interaction patterns that shift assessment focus from solution production to solution verification.
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AI to Learn 2.0: A Deliverable-Oriented Governance Framework and Maturity Rubric for Opaque AI in Learning-Intensive Domains
AI to Learn 2.0 is a deliverable-oriented framework with a seven-dimension maturity rubric and capability-evidence ladder that permits opaque AI for exploration but requires final outputs to be auditable, transferable, and supported by human-attributable evidence.