Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review

Deep and meaningful learning (DML) in distant education should be an essential outcome of quality education. In this literature review, we focus on e-learning effectiveness along with the factors and conditions leading to DML when using social virtual reality environments (SVREs) in distance mode hi...

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Published in:Applied Sciences
Main Authors: Mystakidis, Stylianos, Berki, Eleni, Valtanen, Juri Petri
Other Authors: Tampere University, Education
Format: Review
Language:English
Published: 2021
Subjects:
DML
Online Access:https://trepo.tuni.fi/handle/10024/133462
https://doi.org/10.3390/app11052412
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spelling ftunivtampere:oai:trepo.tuni.fi:10024/133462 2024-01-07T09:42:54+01:00 Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review Mystakidis, Stylianos Berki, Eleni Valtanen, Juri Petri Tampere University Education 2021-03 1690227 fulltext https://trepo.tuni.fi/handle/10024/133462 https://doi.org/10.3390/app11052412 en eng 2412 5 11 2076-3417 https://trepo.tuni.fi/handle/10024/133462 URN:NBN:fi:tuni-202107286390 doi:10.3390/app11052412 cc by 4.0 openAccess 516 Educational sciences review 2021 ftunivtampere https://doi.org/10.3390/app11052412 2023-12-14T00:07:33Z Deep and meaningful learning (DML) in distant education should be an essential outcome of quality education. In this literature review, we focus on e-learning effectiveness along with the factors and conditions leading to DML when using social virtual reality environments (SVREs) in distance mode higher education (HE). Hence, a systematic literature review was conducted summa-rizing the findings from thirty-three empirical studies in HE between 2004 (appearance of VR) and 2019 (before coronavirus appearance). We searched for the cognitive, social, and affective aspects of DML in a research framework and studied their weight in SVREs. The findings suggest that the use of SVREs can provide authentic, simulated, cognitively challenging experiences in engaging, motivating environments for open-ended social and collaborative interactions and intentional, personalized learning. Furthermore, the findings indicate that educators and SVRE designers need to place more emphasis on the socio-cultural semiotics and emotional aspects of e-learning and ethical issues such as privacy and security. The mediating factors for DML in SVREs were accumulated and classified in the resultant Blended Model for Deep and Meaningful e-learning in SVREs. Improvement recommendations include meaningful contexts, purposeful activation, learner agency, intrinsic emotional engagement, holistic social integration, and meticulous user obstacle removal. Peer reviewed Review DML Tampere University: Trepo Applied Sciences 11 5 2412
institution Open Polar
collection Tampere University: Trepo
op_collection_id ftunivtampere
language English
topic 516 Educational sciences
spellingShingle 516 Educational sciences
Mystakidis, Stylianos
Berki, Eleni
Valtanen, Juri Petri
Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review
topic_facet 516 Educational sciences
description Deep and meaningful learning (DML) in distant education should be an essential outcome of quality education. In this literature review, we focus on e-learning effectiveness along with the factors and conditions leading to DML when using social virtual reality environments (SVREs) in distance mode higher education (HE). Hence, a systematic literature review was conducted summa-rizing the findings from thirty-three empirical studies in HE between 2004 (appearance of VR) and 2019 (before coronavirus appearance). We searched for the cognitive, social, and affective aspects of DML in a research framework and studied their weight in SVREs. The findings suggest that the use of SVREs can provide authentic, simulated, cognitively challenging experiences in engaging, motivating environments for open-ended social and collaborative interactions and intentional, personalized learning. Furthermore, the findings indicate that educators and SVRE designers need to place more emphasis on the socio-cultural semiotics and emotional aspects of e-learning and ethical issues such as privacy and security. The mediating factors for DML in SVREs were accumulated and classified in the resultant Blended Model for Deep and Meaningful e-learning in SVREs. Improvement recommendations include meaningful contexts, purposeful activation, learner agency, intrinsic emotional engagement, holistic social integration, and meticulous user obstacle removal. Peer reviewed
author2 Tampere University
Education
format Review
author Mystakidis, Stylianos
Berki, Eleni
Valtanen, Juri Petri
author_facet Mystakidis, Stylianos
Berki, Eleni
Valtanen, Juri Petri
author_sort Mystakidis, Stylianos
title Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review
title_short Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review
title_full Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review
title_fullStr Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review
title_full_unstemmed Deep and meaningful e-learning with social virtual reality environments in higher education : A systematic literature review
title_sort deep and meaningful e-learning with social virtual reality environments in higher education : a systematic literature review
publishDate 2021
url https://trepo.tuni.fi/handle/10024/133462
https://doi.org/10.3390/app11052412
genre DML
genre_facet DML
op_relation 2412
5
11
2076-3417
https://trepo.tuni.fi/handle/10024/133462
URN:NBN:fi:tuni-202107286390
doi:10.3390/app11052412
op_rights cc by 4.0
openAccess
op_doi https://doi.org/10.3390/app11052412
container_title Applied Sciences
container_volume 11
container_issue 5
container_start_page 2412
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