Authors:
Jonas Anseeuw
1
;
Stijn Verstichel
1
;
Femke Ongenae
1
;
Ruben Lagatie
2
;
Sylvie Venant
2
and
Filip De Turck
1
Affiliations:
1
Ghent University – iMinds, Belgium
;
2
Televic NV, Belgium
Keyword(s):
Learning Analytics, Ontologies, Experience API, Linked Data, Learning Management System, Learning Record Store, Context-aware.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Education and Training
;
Expert Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Symbolic Systems
Abstract:
In education, learners no longer perform learning activities in a well-defined and static environment like a
physical classroom. Digital learning environments promote learners anytime, anywhere and anyhow learning.
As such, the context in which learners undertake these learning activities can be very diverse. To optimize
learning and the environment in which it occurs, learning analytics measure data about learners and their
context. Unfortunately, current state of the art standards and systems are limited in capturing the context of
the learner. In this paper we present a Learning Record Store (LRS), compatible with the Experience API,
that is able to capture the learners’ context, more concretely his location and used device. We use ontologies
to model the xAPI and context information. The data is stored in a RDF triple store to give access to different
services. The services will show the advantages of capturing context information. We tested our system by
sending stateme
nts from 100 learners completing 20 questions to the LRS.
(More)