New framework uses AI to collect continuous evidence for academic integrity

A new paper proposes a "Dynamic Evidence Collection Ecosystem" framework to address challenges posed by generative AI in academic assessments. This framework shifts focus from single-point submissions to continuous, multi-source evidence of student learning over time. It incorporates process evidence like iterative artifacts, logs, and reflections, supported by AI for learning analytics and feedback, aiming to strengthen academic integrity through assessment design rather than AI detection. AI

IMPACT This framework could shift academic assessment strategies to better evaluate authentic learning in the age of generative AI.

RANK_REASON The cluster contains a single academic paper proposing a new framework. [lever_c_demoted from research: ic=1 ai=1.0]

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