Authors:
Aziz Hasanov
and
Teemu H. Laine
Affiliation:
Ajou University, Korea, Republic of
Keyword(s):
Context-aware, Education, Learning Environment, Survey.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Computer-Supported Education
;
Context Dependent Learning
;
e-Learning
;
Enterprise Information Systems
;
Information Technologies Supporting Learning
;
Intelligent Tutoring Systems
;
Ubiquitous Learning
Abstract:
Context-aware learning environments can detect the learner’s context and adapt learning materials to match the
context. The support for context-awareness is essential in these systems so that they can make learning contextually
relevant. Previously, several surveys on context-aware learning environments have been conducted,
but they are either old or they do not consider several important aspects of context-awareness. To alleviate this,
we first performed a literature search on context-aware learning environments in 2010-2016. After filtering
the results, we analyzed 28 studies. Highlights of the results are: (i) PDAs and mobile phones are the most
common client types, (ii) RFID/NFC are the most common sensors, (iii) ontology is the most common context
modeling approach, and (iv) context data typically originates from the learner’s profile or the learner’s location.
Additionally, we proposed a taxonomy for context categories in context-aware learning environments.
Finally, b
ased on our survey results, we gave directions for future research in the field. These results can be of
interest to educational technology researchers and context-aware application developers.
(More)