Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field
Main Author: | |
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Publication Date: | 2021 |
Other Authors: | , , , , , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10400.2/10867 |
Summary: | The interdisciplinary field of immersive learning research is scattered. Combining efforts for better exploration of this field from the different disciplines requires researchers to communicate and coordinate effectively. We call upon the community of immersive learning researchers for planting the Knowledge Tree of Immersive Learning Research, a proposal for a systematization effort for this field, combining both scholarly and practical knowledge, cultivating a robust and ever-growing knowledge base and methodological toolbox for immersive learning. This endeavor aims at promoting evidence-informed practice and guiding future research in the field. This paper contributes with the rationale for three objectives: 1) Developing common scientific terminology amidst the community of researchers; 2) Cultivating a common understanding of methodology, and 3) Advancing common use of theoretical approaches, frameworks, and models. |
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Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the fieldImmersive learningKnowledge treeResearchEpistemologyOntologyThe interdisciplinary field of immersive learning research is scattered. Combining efforts for better exploration of this field from the different disciplines requires researchers to communicate and coordinate effectively. We call upon the community of immersive learning researchers for planting the Knowledge Tree of Immersive Learning Research, a proposal for a systematization effort for this field, combining both scholarly and practical knowledge, cultivating a robust and ever-growing knowledge base and methodological toolbox for immersive learning. This endeavor aims at promoting evidence-informed practice and guiding future research in the field. This paper contributes with the rationale for three objectives: 1) Developing common scientific terminology amidst the community of researchers; 2) Cultivating a common understanding of methodology, and 3) Advancing common use of theoretical approaches, frameworks, and models.Immersive Learning Research NetworkRepositório AbertoBeck, DennisMorgado, LeonelLee, MarkGütl, ChristianDengel, AndreasWang, MinjuanWarren, ScottRichter, Jonathon2021-07-05T11:50:38Z2021-05-172021-07-03T08:39:35Z2021-05-17T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.2/10867eng978-1-7348995-2-8/2110.23919/iLRN52045.2021.9459338info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T09:32:59Zoai:repositorioaberto.uab.pt:10400.2/10867Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:01:34.539738Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
title |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
spellingShingle |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field Beck, Dennis Immersive learning Knowledge tree Research Epistemology Ontology |
title_short |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
title_full |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
title_fullStr |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
title_full_unstemmed |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
title_sort |
Towards an immersive learning knowledge tree: a conceptual framework for mapping knowledge and tools in the field |
author |
Beck, Dennis |
author_facet |
Beck, Dennis Morgado, Leonel Lee, Mark Gütl, Christian Dengel, Andreas Wang, Minjuan Warren, Scott Richter, Jonathon |
author_role |
author |
author2 |
Morgado, Leonel Lee, Mark Gütl, Christian Dengel, Andreas Wang, Minjuan Warren, Scott Richter, Jonathon |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Aberto |
dc.contributor.author.fl_str_mv |
Beck, Dennis Morgado, Leonel Lee, Mark Gütl, Christian Dengel, Andreas Wang, Minjuan Warren, Scott Richter, Jonathon |
dc.subject.por.fl_str_mv |
Immersive learning Knowledge tree Research Epistemology Ontology |
topic |
Immersive learning Knowledge tree Research Epistemology Ontology |
description |
The interdisciplinary field of immersive learning research is scattered. Combining efforts for better exploration of this field from the different disciplines requires researchers to communicate and coordinate effectively. We call upon the community of immersive learning researchers for planting the Knowledge Tree of Immersive Learning Research, a proposal for a systematization effort for this field, combining both scholarly and practical knowledge, cultivating a robust and ever-growing knowledge base and methodological toolbox for immersive learning. This endeavor aims at promoting evidence-informed practice and guiding future research in the field. This paper contributes with the rationale for three objectives: 1) Developing common scientific terminology amidst the community of researchers; 2) Cultivating a common understanding of methodology, and 3) Advancing common use of theoretical approaches, frameworks, and models. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-05T11:50:38Z 2021-05-17 2021-07-03T08:39:35Z 2021-05-17T00:00:00Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.2/10867 |
url |
http://hdl.handle.net/10400.2/10867 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
978-1-7348995-2-8/21 10.23919/iLRN52045.2021.9459338 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Immersive Learning Research Network |
publisher.none.fl_str_mv |
Immersive Learning Research Network |
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