With recent advancements in Semantic Web technologies, a new trend in MCQ item generation has emerged through the use of ontologies. Ontologies are knowledge representation structures that formally describe entities in a domain and their relationships, thus enabling automated inference and reasoning.
Mar 26, 2014
Nov 17, 2015 · When generating conceptual knowledge multiple choice questions from an ontology, stem and answers are derived from (possibly complex) concepts.
In this thesis we introduce a similarity-based method to generate a specific type of questions, namely multiple choice questions, and control their difficulty.
In this paper, we present an experimental evaluation of an ontology-based MCQ item generation system known as OntoQue. The evaluation was conducted using two ...
Ontology-Based Generation of Medical, Multi-term MCQs · Medicine, Computer Science. International Journal of Artificial Intelligence… · 2019.
Ontology-based multiple choice question generation. The Scientific World Journal, 2014. (Cited on pages 21, 62, 87, 88,. 91, 94, 96, 98, 99, and 217.) [Baa91].
May 31, 2024 · In this paper, we present an experimental evaluation of an ontology-based MCQ item generation system known as OntoQue. The evaluation was ...
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This work investigates how a pre-existing educational Biology ontology can be used to generate useful practice questions for students by using the connectivity ...
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In this paper, we present an empirical evaluation of ontology-based MCQ generation. We examine the feasibility of apply- ing ontology-based MCQ generation ...
In this thesis we introduce a similarity-based method to generate a specific type of questions, namely multiple choice questions, and control their difficulty.