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RESEARCH PRODUCT
Deep and Meaningful E-Learning with Social Virtual Reality Environments in Higher Education: A Systematic Literature Review
Eleni BerkiStylianos MystakidisJuri Valtanensubject
Higher educationDistance educationopen and distance learning (ODL)Agency (philosophy)050801 communication & media studiesPersonalized learningdeep and meaningful learning (DML)lcsh:Technologylcsh:Chemistry0508 media and communicationsEmpirical researchSocial integrationMeaningful learningsystematic literature review (SLR)General Materials Sciencelcsh:QH301-705.5Instrumentatione-learningFluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and Technologysocial virtual reality environments (SVREs)05 social sciencesGeneral Engineering050301 educationlcsh:QC1-999Computer Science Applicationslcsh:Biology (General)lcsh:QD1-999Conceptual frameworklcsh:TA1-2040distance educationlcsh:Engineering (General). Civil engineering (General)businessPsychology0503 educationlcsh:PhysicsCognitive psychologydescription
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 summarizing 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.
year | journal | country | edition | language |
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2021-03-01 | Applied Sciences |