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Ontology-based representation of learner profiles for accessible OpenCourseWare systems

: Elias, Mirette; Lohmann, Steffen; Auer, Sören

Preprint urn:nbn:de:0011-n-4813968 (336 KByte PDF)
MD5 Fingerprint: 305aea08623a160824169cf2adbfa6aa
Created on: 9.3.2019

Różewski, P.:
Knowledge engineering and semantic web. 8th International Conference, KESW 2017 : Szczecin, Poland, November 8-10, 2017; Proceedings
Cham: Springer International Publishing, 2017 (Communications in computer and information science 786)
ISBN: 978-3-319-69547-1 (Print)
ISBN: 978-3-319-69548-8 (Online)
ISBN: 3-319-69547-9
International Conference on Knowledge Engineering and Semantic Web (KESW) <8, 2017, Szczecin>
European Commission EC
H2020-EU.2.1.1.; 688095; SlideWiki
Large-scale pilots for collaborative OpenCourseWare authoring, multiplatform delivery and Learning Analytics
Conference Paper, Electronic Publication
Fraunhofer IAIS ()

The development of accessible web applications has gained significant attention over the past couple of years due to the widespread use of the Internet and the equality laws enforced by governments. Particularly in e-learning contexts, web accessibility plays an important role, as e-learning often requires to be inclusive, addressing all types of learners, including those with disabilities. However, there is still no comprehensive formal representation of learners with disabilities and their particular accessibility needs in e-learning contexts. We propose the use of ontologies to represent accessibility needs and preferences of learners in order to structure the knowledge and to access the information for recommendations and adaptations in e-learning contexts. In particular, we reused the concepts of the ACCESSIBLE ontology and extended them with concepts defined by the IMS Global Learning Consortium. We show how OpenCourseWare systems can be adapted based on this ontology to improve accessibility.