Studie: A Domain Ontology Based Solution for Knowledge Discovery in Learning and Assessment

Publication Year:
2016
Usage 9
Downloads 6
Abstract Views 3
Repository URL:
http://aisel.aisnet.org/siged2016/12
Author(s):
Weber, Christian; Neusch, Gábor; Vas, Réka
Tags:
knowledge discovery; blended learning; domain ontology; assessment and pre-selection; de-linearized learning; Educational Assessment, Evaluation, and Research
conference paper description
Continuous learning is a necessity in today’s organizations. With the ongoing technization, technology enhanced solutions are now supporting learners, especially in situations of non-formal and blended learning. Furthermore, where workers are forced to constantly adapt to new roles and skill-sets, adaptive support solutions are mandatory. Yet adaptive and flexible solutions for learning in and across domains in the scope and need of organizations are still a rare breed. The flexible and adaptive STUDIO system for adaptive learning and self-assessment demonstrates how a well-defined use of domain knowledge helps to discover the knowledge of the learner. This article will introduce the STUDIO system and discuss based on STUDIO how user models, cognitive traits and adaptive systems can act as enablers for further flexible solutions.