The Educational Test Item Generator based on Formal Concept Analysis

Student: Lebedev Aleksandr

Educational Programme: System and Software Engineering (Master)

Final Grade: 8

Year of Graduation: 2018

The aim of this work is to study methods which could improve automatic item generation process. This paper describes various approaches of automatic educational item generation, formal concept analysis, ontology as a knowledge representation model, architecture and implementation of an automatic item generator on the basis of the ontology of the domain. The AIG program is designed to be a subsystem of adaptive learning platform EdMachine, which is developed by HSE. Implemented program has REST API interface, which allows to generate required educational items by a simple HTTP request. Key words: formal concept analysis, ontology of the domain, automatic item generation, ontology-controlled learning

Full text (added June 5, 2018)

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