System and Method for AI-Based Mastery Evaluation

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Authors: Murad Ahmadov
Cited by: 0

Abstract

Executive summary of the technical framework "System and Method for AI-Based Mastery Evaluation". The framework proposes an AI-driven method for assessing learner reasoning, knowledge transfer, and conceptual coherence from interaction with educational content. This record provides a high-level summary for attribution and outreach purposes. The full technical white paper (including methods, pseudocode, model schemas, and pilot protocols) is available from the author on request and may be shared under appropriate conditions. Related resourcesAdditional preprints, theoretical frameworks, and ongoing work by the author are available at:https://murad-ahmadov.github.io/

Fields of Study & Subjects

Intelligent Tutoring Systems and Adaptive Learning Explainable Artificial Intelligence (XAI) AI in Service Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026
Language
EN