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EMCQG (EMMeT Multiple Choice Question Generator)

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

A modular question-generation system developed by J. Leo et al. that uses the EMMeT-OWL medical ontology and expert-authored templates to generate case-based MCQs for medical residents and physician specialty trainees.

Components

  • EMCQG: a modular ontology-based system for generating case-based medical MCQs: EMCQG (EMMeT Multiple Choice Question Generator) is a modular system built on EMMeT-OWL that fills question-template skeletons with content from the ontology. It comprises a templating system plus modules for stems, options, exclusions, explanations, difficulty, and question text: "the remaining main modules act as engines to fill in and structure the template skeletons with content from EMMeT-OWL". Templates encode rules over ranked clinical relations (e.g., distractor ranks must not exceed the key's), and OWL reasoning validates candidate terms against patient demographics. (J. Leo et al. (2019))

Claims

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Key Sources

  • J. Leo, G. Kurdi, N. Matentzoglu, B. Parsia, U. Sattler, S. Forge, G. Donato, W. Dowling. (2019). Ontology-Based Generation of Medical, Multi-term MCQs. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-018-00172-w
Page metadata
Field Value
type product
id emcqg-emmet-multiple-choice-question-generator
title EMCQG (EMMeT Multiple Choice Question Generator)
description A modular question-generation system developed by J.
status review
product_kind software
generated by process:settle-candidates on 2026-10-27
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