The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
From Users to Creators: Motivations, Implementation, and Impacts of Augmented and Virtual Reality in Science and Engineering Projects in K-12 Education
Abstract
Current research on immersive technologies has widely described their application in K-12 settings, with evidence of their goals, approaches, and potential to enhance learning. However, there is a dearth of studies describing those technologies being used as authoring tools by students. This paper investigates how K-12 students apply virtual and augmented reality technologies as tools for designing experiments and solutions for their science and engineering projects. Study 1 analyzed 12 projects presented at a FEBRACE national science fair between 2015 and 2020 and Study 2 investigated, via an online questionnaire, the motivations and challenges from students who worked on those projects. Results include the context in which the projects were developed, motivation for using virtual and augmented reality technologies, fields in which they were applied, and types of software and hardware used. Findings inform how future research can build on those experiences to integrate immersive technologies in K-12 education.
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Cohen, L., Manion, L., & Morrison, K. (2002) · Routledge eBooks · doi:10.4324/9780203224342 · Cited by 5,180
Augmented Reality Trends in Education : A Systematic Review of Research and Applications
Bacca-Acosta, J., Baldiris, S., Fabregat, R., Sabine Graf, A., & Kinshuk, K. (2014) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 1,073
Papanastasiou, G., Drigas, A. S., Skianis, C. A., Lytras, M. D., & Papanastasiou, E. (2018) · Virtual Reality · doi:10.1007/s10055-018-0363-2 · Cited by 484
Virtual, augmented and mixed reality in K–12 education: a review of the literature
Maas, M. J., & Hughes, J. M. (2020) · Technology Pedagogy and Education · doi:10.1080/1475939x.2020.1737210 · Cited by 360
Ashtari, N., Bunt, A., McGrenere, J., Nebeling, M., & Chilana, P. K. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376722 · Cited by 311
The Trouble with Augmented Reality/Virtual Reality Authoring Tools
Nebeling, M., & Speicher, M. (2018) · IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · doi:10.1109/ismar-adjunct.2018.00098 · Cited by 169
Chuah, S. H. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3300469 · Cited by 161
All Reality: Virtual, Augmented, Mixed (X), Mediated (X,Y), and Multimediated RealityPreprint
Mann, S., Furness, T., Yu, Y., Iorio, J., & Wang, Z. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.08386 · Cited by 129
A systematic literature review of mixed reality environments in K-12 education
Πέλλας, Ν., Kazanidis, I., & Palaigeorgiou, G. E. (2019) · Education and Information Technologies · doi:10.1007/s10639-019-10076-4 · Cited by 116
From theory bias to theory dialogue
Kafai, Y. B., Proctor, C. P., & Lui, D. (2020) · ACM Inroads · doi:10.1145/3381887 · Cited by 115
Research works printed but not linked: 6
- boland, 2021, Are 90% of smartphones ar-ready?
- gartenberg, 2021, Meta’s oculus quest 2 has shipped 10 million units according to qualcomm
- kitchenham, 2007, Guidelines for Performing Systematic Literature Reviews in Software Engineering
- 2022, Anais e publicações
- bailenson, 2018, Experience on Demand What Virtual Reality Is How It Works and What It Can Do
- 2021, Notas Estatísticas: Censo Escolar 2020, INEP - Ministério da Educação
Cited by
Sorted by citations
Augmented reality in engineering education: enhancing learning and application
Suhail, N., Bahroun, Z., & Ahmed, V. (2024) · Frontiers in Virtual Reality · doi:10.3389/frvir.2024.1461145 · Cited by 86
Pineda, C., Ashar, A. A. K., & Liu, J. (2024) · IEEE Frontiers in Education Conference (FIE) · doi:10.1109/fie61694.2024.10893365 · Cited by 1
Moleculário: abordagens didáticas imersivas na disseminação científica da emergência climática
de Morais, G. C. (2024) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.81.2024.tde-29112024-125021
Vale, L. M. D. A., Arruda, D. D., do Amaral, P. D. A., Jalil, S. M., & de Andrade, A. F. (2026) · Revista Principia - Divulgação Científica e Tecnológica do IFPB · doi:10.18265/2447-9187a2026id9240
Virtual and Augmented Reality as Tools for Enhanced Science Instruction
Hidayat, S., Setiawan, H., Herawati, L., & Rattanapong, K. (2026) · ESENSI Jurnal Riset Pendidikan · doi:10.71094/esensi.v2i2.324
Metadata
- Authors
- Eloy, A., Anna C. M., Q., de Deus Lopes, R., & Zuffo, M. K.
- Affiliations
- Universidade de São Paulo (BR)
- Stanford University,Lemann Center - Graduate School of Education,Stanford,United States
- Univerisdade de São Paulo,School of Engineering,Electronic Systems Department,São Paulo,Brazil
- Venue
- 2022 8th International Conference of the Immersive Learning Research Network (iLRN)
- Publisher
- IEEE
- Published
- 2022-05-30
- Pages
- 1-6
- OpenAlex
- W4294974921
- Cited by
- 3
- References
- 18
- Citations by year
- 2024: 3
- FWCI
- 0.27
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference of the Immersive Learning Research Network (iLRN) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Education › Science Education and Pedagogy
- Keywords
- augmented reality, virtual reality, immersive technologies, K-12 education, student motivation, science fairs, engineering design
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