A framework using self-rationalization, attribution analysis, and a certification metadata schema with traffic-light workflow enables transparent, audit-ready AI-generated educational assessments aligned to Bloom's and SOLO taxonomies.
Assessing AI-generated questions’ alignment with cognitive frameworks in educational assessment.International Journal of Computer Theory and Engineering, 17(3):114–125, 2025
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Explainability and Certification of AI-Generated Educational Assessments
A framework using self-rationalization, attribution analysis, and a certification metadata schema with traffic-light workflow enables transparent, audit-ready AI-generated educational assessments aligned to Bloom's and SOLO taxonomies.