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dc.contributor.author
Scott, Mario Ezequiel
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dc.contributor.author
Soria, Alvaro
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dc.contributor.author
Campo, Marcelo Ricardo
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dc.date.available
2018-09-05T18:34:02Z
dc.date.issued
2017-07
dc.identifier.citation
Scott, Mario Ezequiel; Soria, Alvaro; Campo, Marcelo Ricardo; Adaptive 3D Virtual Learning Environments - A Review of the Literature; Institute of Electrical and Electronics Engineers; IEEE Transactions on Learning Technologies; 10; 3; 7-2017; 262-276
dc.identifier.issn
1939-1382
dc.identifier.uri
http://hdl.handle.net/11336/58398
dc.description.abstract
New ways of learning have emerged in the last years by using computers in education. For instance, many Virtual Learning Environments have been widely adopted by educators, obtaining promising outcomes. Recently, these environments have evolved into more advanced ones using 3D technologies and taking into account the individual learner needs and preferences. This focus has led a shift to more personalized learning approaches, requiring that the environments adapt themselves to the learner. Then, many adaptive 3D environments have explored adaptive features to create new and enhanced learning experiences in different contexts. However, very little is known about both what factors are involved with adaptive 3D environments to achieve learning benefits and what assessment factors are present in current studies. For this reason, this review analyzes the recent publications on Adaptive 3D Virtual Learning Environments. Findings have revealed that these environments have covered factors on defining the learner's model, the instructional strategies and contents, and the adaptations mechanisms. Nearly half of the environments have addressed thorough assessments whereas the rest has not reported any evaluation at all. Moreover, when they report assessment, promising outcomes have also been shown not only in multiple domains of knowledge but also at various stages of education. These findings indicate that the field of Adaptive 3D Virtual Learning Environments is an active and ongoing area, and this study highlights several promising directions and suggestions for future research.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
3d Virtual Learning Environments
dc.subject
Adaptive Virtual Environments
dc.subject
Personalized Virtual Environments
dc.subject.classification
Ciencias de la Computación
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dc.subject.classification
Ciencias de la Computación e Información
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Adaptive 3D Virtual Learning Environments - A Review of the Literature
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-05T16:13:02Z
dc.journal.volume
10
dc.journal.number
3
dc.journal.pagination
262-276
dc.journal.pais
Estados Unidos
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dc.description.fil
Fil: Scott, Mario Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Soria, Alvaro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.description.fil
Fil: Campo, Marcelo Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.journal.title
IEEE Transactions on Learning Technologies
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLT.2016.2609910
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7569100/
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