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📄 Research Article

The Theoretical Foundation of Socratic Tests: Dynamic, Multimodal, Conversational Examinations

● high · 2026-08-03llm, generative-ai, assessment, automated-grading, assessment-validity, scaffolding, educational-theory, zone-of-proximal-development, ai-tutoring, automated-assessment

Ilya Mikhelson — Submitted to Computers and Education: Artificial Intelligence (2026).

Synthesis

The Socratic Test is an automated, computer-mediated conversational assessment that replaces static, deficit-based grading with a dynamic, additive model. It integrates Dynamic Assessment principles, multimodal workspaces, Bloom's Taxonomy for real-time proctoring, and the SOLO Taxonomy for structural evaluation.

Graduated scaffolding is formalized to quantify a student's Zone of Proximal Development (ZPD): the assessment actively maps cognitive boundaries by adapting question difficulty and support in real time, so measurement targets what a student can achieve with assistance rather than only unaided performance.

The grading architecture is non-compensatory and additive, prioritizing mastery over penalty: success at harder levels outweighs failures at easier ones, which the author argues reduces the penalty on ambition and restores diagnostic feedback value lost in subtractive scoring.

A stated goal is human-AI alignment for measurement reliability: the conversational format is designed to avoid construct-irrelevant variance from performative anxiety and the power imbalances of face-to-face oral examinations, though the paper is a theoretical foundation with implementation and validation left to future work.

Connected Concepts

  • Automated Essay Scoring
  • Automated Question Generation
  • Formative Assessment
  • AI Ed Evaluation
  • Open Source
  • Socratic Method
  • Reducing AI Misuse
  • Math Education

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    • Citation

    Mikhelson, I. (2026). The theoretical foundation of Socratic tests: Dynamic, multimodal, conversational examinations. arXiv:2607.29624.