A survey of adaptive context-aware learning environments
Document identifier: oai:DiVA.org:ltu-76056
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10.3233/AIS-190534Keyword: Natural Sciences,
Computer and Information Sciences,
Computer Sciences,
Naturvetenskap,
Data- och informationsvetenskap,
Datavetenskap (datalogi),
Media and Communication Technology,
Medieteknik,
Pervasive Mobile Computing,
Distribuerade datorsystemPublication year: 2019Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: Adaptive context-aware learning environments (ACALEs) can detect the learner’s context and adapt learning materi-als to match the context. The support for context-awareness and adaptation is essential in these systems so that they can makelearning contextually relevant. Previously, several related surveys have been conducted, but they are either outdated or they donot consider the important aspects of context-awareness, adaptation and pedagogy in the domain of ACALEs. To alleviate this,a comprehensive literature search on ACALEs was first performed. After filtering the results, 53 studies that were publishedbetween 2010 and 2018 were analyzed. The highlights of the results are: (i) mobile devices (PDAs, mobile phones, smartphones)are the most common client types, (ii) RFID/NFC are the most common sensors, (iii) ontology is the most common context mod-eling approach, (iv) context data typically originates from the learner profile or the learner’s location, (v) rule-based adaptationis the most used adaptation mechanism, and (vi) informative feedback is the most common feedback type. Additionally, we con-ducted a trend analysis on technology usage in ACALEs throughout the covered timespan, and proposed a taxonomy of contextcategories as well as several other taxonomies for describing various aspects of ACALEs. Finally, based on the survey results,directions for future research in the field were given. These results can be of interest to educational technology researchers andto developers of adaptive and context-aware applications.
Authors
Aziz Hasanov
Ajou University
Other publications
>>
Teemu Laine
Luleå tekniska universitet; Datavetenskap
Other publications
>>
Tae-Sun Chung
Ajou University
Other publications
>>
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identifier: oai:DiVA.org:ltu-76056
datestamp: 2021-04-19T12:52:51Z
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10.3233/AIS-190534
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titleInfo:
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lang: eng
title: A survey of adaptive context-aware learning environments
abstract: Adaptive context-aware learning environments (ACALEs) can detect the learner’s context and adapt learning materi-als to match the context. The support for context-awareness and adaptation is essential in these systems so that they can makelearning contextually relevant. Previously several related surveys have been conducted but they are either outdated or they donot consider the important aspects of context-awareness adaptation and pedagogy in the domain of ACALEs. To alleviate thisa comprehensive literature search on ACALEs was first performed. After filtering the results 53 studies that were publishedbetween 2010 and 2018 were analyzed. The highlights of the results are: (i) mobile devices (PDAs mobile phones smartphones)are the most common client types (ii) RFID/NFC are the most common sensors (iii) ontology is the most common context mod-eling approach (iv) context data typically originates from the learner profile or the learner’s location (v) rule-based adaptationis the most used adaptation mechanism and (vi) informative feedback is the most common feedback type. Additionally we con-ducted a trend analysis on technology usage in ACALEs throughout the covered timespan and proposed a taxonomy of contextcategories as well as several other taxonomies for describing various aspects of ACALEs. Finally based on the survey resultsdirections for future research in the field were given. These results can be of interest to educational technology researchers andto developers of adaptive and context-aware applications.
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Natural Sciences
Computer and Information Sciences
Computer Sciences
@attributes:
lang: swe
authority: uka.se
topic:
Naturvetenskap
Data- och informationsvetenskap
Datavetenskap (datalogi)
@attributes:
lang: eng
authority: uka.se
topic:
Natural Sciences
Computer and Information Sciences
Media and Communication Technology
@attributes:
lang: swe
authority: uka.se
topic:
Naturvetenskap
Data- och informationsvetenskap
Medieteknik
@attributes:
lang: eng
authority: ltu
topic: Pervasive Mobile Computing
genre: Research subject
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lang: swe
authority: ltu
topic: Distribuerade datorsystem
genre: Research subject
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publication/review-article
ref
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Published
3
Validerad;2019;Nivå 2;2019-09-20 (johcin)
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Hasanov
Aziz
role:
roleTerm: aut
affiliation: Ajou University
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Laine
Teemu
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affiliation:
Luleå tekniska universitet
Datavetenskap
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Chung
Tae-Sun
role:
roleTerm: aut
affiliation: Ajou University
originInfo:
dateIssued: 2019
publisher: IOS Press
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titleInfo:
title: Journal of Ambient Intelligence and Smart Environments
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1876-1364
1876-1372
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type: volume
number: 11
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