Authors:
Mariia Gavriushenko
;
Oleksiy Khriyenko
and
Ari Tuhkala
Affiliation:
University of Jyväskylä, Finland
Keyword(s):
Intelligent Learning System, Adaptive and Personalized Education, Career Development.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
e-Learning
;
e-Learning Platforms
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Simulation and Modeling
;
Simulation Tools and Platforms
Abstract:
Fast-growing technologies are shaping many aspects of societies. Educational systems, in general, are still
rather traditional: learner applies for school or university, chooses the subject, takes the courses, and finally
graduates. The problem is that labor markets are constantly changing and the needed professional skills
might not match with the curriculum of the educational program. It might be that it is not even possible to
learn a combination of desired skills within one educational organization. For example, there are only a few
universities that can provide high-quality teaching in several different areas. Therefore, learners may have to
study specific modules and units somewhere else, for example, in massive open online courses. A person, who
is learning some particular content from outside of the university, could have some knowledge gaps which
should be recognized. We argue that it is possible to respond to these challenges with adaptive, intelligent, and
personalized lea
rning systems that utilize data analytics, machine learning, and Semantic Web technologies.
In this paper, we propose a model for an Intelligent Learning Support System that guides learner during the
whole lifecycle using semantic annotation methodology. Semantic annotation of learning materials is done not
only on the course level but also at the content level to perform semantic reasoning about the possible learning
gaps. Based on this reasoning, the system can recommend extensive learning material.
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