Conversational AI can transform assessment from deficit-based grading to mastery-focused evaluation by dynamically adapting difficulty and providing diagnostic feedback in real-time, making testing fairer and more informative.
This paper proposes the 'Socratic Test,' an automated conversational assessment system that replaces traditional static exams with dynamic, multimodal dialogues. By combining Dynamic Assessment, Bloom's Taxonomy, and the SOLO Taxonomy, it measures student learning through graduated scaffolding rather than penalizing mistakes, while reducing anxiety and bias from traditional oral exams.