Development of onthology based quiz generator for “Moodle

Сергій Вікторович Сирота, Вячеслав Олегович Ліскін

Abstract


The knowledge-based information technology, which solves the problem of automatic generation of quizzes with grouping them according to the hierarchy of domain concepts was developed.

Existing methods of ontology representation and available tools for automatic quiz generation were investigated.

Based on the analysis of formats and technologies that use existing software tools Protégé and MOODLE, guidelines and recommendations for the domain ontology construction were developed. The requirements were formulated, and the class of ontologies that can be used for further processing by the proposed methods was identified. A software tool - quiz generator was developed.

Using quizzes in the educational process allows to quickly check the knowledge of large groups of students, to monitor the educational achievements, reduce data processing time. However, developing effective and verified quizzes is quite a time-consuming process, which contains a lot of routine work.

Four target types of quizzes in a closed form suitable for automatic processing were identified. It was revealed that the generated quizzes are verified, i.e. questions do not contain any errors since they were automatically generated from true statements, the generated quiz does not need to be checked for errors and the number of questions is sufficient to use not only for control but also for learning.

The developed technology will allow to increase the number of educational quizzes, thereby freeing a teacher from routine work in favor of its creative component, thus will enhance the education quality.


Keywords


e-learning; distance learning; educational content; ontology; knowledge bases

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DOI: https://doi.org/10.15587/1729-4061.2015.51334

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ISSN (print) 1729-3774, ISSN (on-line) 1729-4061