Design of an Adaptive Educational Application to Generate Customized Tests Based on Ontology

• Main Authors: Danilo Pastor, Gloria Arcos-Medina, Vanessa Bonito, Jaime Cepeda
• Format: Article
• Language: English
• Published: Kassel University Press 2021-02-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: adaptive application; ontology; learning styles; bloom taxonomy
• Online Access: https://online-journals.org/index.php/i-jet/article/view/17805

The personalization of certain teaching processes produces improved learn-ing results. In the assessment of learning, there is a need to personalize the test items according to the learning styles of the students. This paper pro-poses the design of an adaptive application that generates personalized tests according to the students' learning styles. To facilitate the design of the proposed application, an ontology for creating personalized tests was de-signed based on the use of learning styles by means of applying the Methontology methodology. This ontology has a hierarchy of 3 levels, 9 first-level classes, 12 second-level subclasses, and 10 third-level sub-classes. The application was developed using the Primefaces framework and the Jena library to manage the ontology. At the end of the development stage, the usability of the application created was measured using the heu-ristic evaluation method based on the ten principles of Jackob Nielsen. The results obtained indicate that the application complies with the aforemen-tioned principles, earning a 94% usability rating. Consequently, it can be deemed a useful application for end-users