Studio: Ontology-Based Educational Self-Assessment.
Christian P. Weber, Réka Franciska Vas · 2015
Students, through all stages of education, grasp new knowledge in the context of knowledge memorized all through their previous education. To self-predict personal proficiency in education, selfassessment acts as an important learning feedback. The in-house developed Studio suit for educational self-assessment enables to model the educational domain as an ontology-based knowledge structure, connecting assessment questions and learning material to each element in the ontology. Self-assessment tests are then created by utilizing a sub-ontology, which frames a tailored testing environment fitting to the targeted educational field. In this paper we give an overview of how the educational data is modeled as a domain ontology and present the concepts of different relations used in the Studio system. We will deduct how the presented self-assessment makes use of the knowledge structure for online testing and how it adapts the test to the performance of the student. Further we highlight where potentials are for the next stages of development.