Análisis de la producción científica en el uso de la realidad virtual en la educación a partir de la estructura conceptual, social e intelectual.

  1. Lorenzo Lledó, Gonzalo 1
  1. 1 Universidad de Alicante, Alicante, España
Revue:
RED: revista de educación a distancia

ISSN: 1578-7680

Année de publication: 2022

Titre de la publication: Ordinario

Volumen: 22

Número: 69

Type: Article

DOI: 10.6018/RED.502601 DIALNET GOOGLE SCHOLAR lock_openDIGITUM editor

D'autres publications dans: RED: revista de educación a distancia

Résumé

In recent years, the use of technology in education has led to an increase in scientific production. Among the various technologies, virtual reality is acquiring greater use in educational classrooms. However, there is still no global picture of how its use is evolving within education. As a consequence, the objective is to analyze the evolution in the use of virtual reality in education by scientific mapping from the study of the conceptual, social and intellectual structure of the field of knowledge. The sample is composed of 1163 documents obtained from the Web of Science during the period 1996-2019. The results show that there are two lines of research: one of them technology and Education while the other is Medicine and Education. While the most important collaborative networks are formed by the most productive authors. Finally, the papers by Merchantz et al., (2014) and Nicholson et al., (2006) are reference elements for VR work in education.

Références bibliographiques

  • Abi-Rafeh, J., Zammit, D., Jaberi, M., Al-Halabi, B., & Thibaudeau, S. (2019). Nonbiological Microsurgery Simulators in Plastic Surgery Training: A Systematic Review. Plastic and Reconstructive Surgery, 144(3), 496-507. https://doi.org/10.1097/PRS.0000000000005990.
  • Acedo, F. J., Barroso, C., Casanueva, C., & Galan, J. L. (2006). Co-authorship in management and organizational studies: An empirical and network analysis. Journal of Management Studies, 43 (5), 957–983. https://doi.org/10.1111/j.1467-6486.2006.00625.x
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
  • Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social indicators research, 149 (1), 803-831. https:// doi.org/ 10.1007/s11205-020-02281-3
  • Ascaso, F. (2010). H-index in the evaluation of individual scientific output. Archivos de la Sociedad española de oftalmologia, 85 (9), 310. https://doi.org/10.1016/S2173-5794(10)70050-5
  • Brandes, U., Borgatti, S., & Freeman, L. (2016). Maintaining the duality of closeness and betweenness centrality. Social Networks, 44 (1), 153-159.https://doi.org/10.1016/j.socnet.2015.08.003
  • Biocca, F. (1992). Communication within virtual reality: Creating a space for research. Journal of Communication, 42 (4), 5–22. https://doi.org/10.1111/j.1460-2466.1992.tb00810.x
  • Burdea, G., & Coiffet, P. (1994). Virtual reality technology (1st Ed.). London: Wiley- Interscience.
  • Callon, M., Courtial, J., Turner, W., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22, 191–235. https://doi.org/10.1177/053901883022002003
  • Castelló-Cogollos, L., Sixto-Costolla, A., Lucas-Domínguez, R., Agulló-Calatayud, V., González de Dios, J., & Aleixandre-Benavent, R. (2017). Bibliometría e indicadores de actividad científica (VI). Indicadores de colaboración (2). Análisis de redes sociales aplicados a la pediatría. Acta Pedíatrica Española, 75 (11-12), 127-135.
  • Cromby, J., Standen, P., Newman, J., & Tasker, H. (1996). Successful transfer to the real world of skills practised in a virtual environment by students with severe learning difficulties. P. M. Sharkey (Ed.), In Proceedings of the 1st International Conference on Disability, Virtual Reality and Associated Technologies (pp.305-313). University of Reading: UK
  • Cuccurullo, M., Aria, M., & Sarto, M. (2016). Foundations and trends in performance management. A twenty-five-year bibliometric analysis in business and public administration domains. Scientometrics, 108 (1), 595-611. https://doi.org/ 10.1007/s11192-016-1948-8
  • De Moya-Anegón, F., Vargas-Quesada, B., Chinchilla-Rodríguez, Z., Herrero-Solana, V., & Corera-Álvarez, E. (2006). Análisis de la cobertura de la base de datos Scopus. El Profesional de la información, 15 (2), 142-144.
  • Diem, A., & Wolter, S. (2013). The use of bibliometrics to measure research performance in Education Science. Research in Higher Education, 54 (1), 86-113. https://doi.org/10.1007/s11162-012-9264-5
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lin, W. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(1), 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Fernández-Cruz, F.J., & Fernández -Díaz, M.J. (2018). El proceso de integración y uso pedagógico de las TIC en los centros educativos madrileños. Educación XX1, 21 (2), 395-416. https://doi.org/10.5944/educXX1.17907.
  • Garfield, E., Malin, M., & Small, H. (1978). Citation data as science indicators. Y. Elkana, J. Lederberg, A. Thackray, R. Merton, H. Zuckerman (eds). Toward a metric science: The advent of science indicators (pp. 580-608). Wiley: New York.
  • Glänzel, W. (2002). Coauthorship patterns and trends in the sciences (1980–1998): A bibliometric study with implications for database indexing and search strategies. Library Trends, 50 (3), 461–473.
  • González, S., Juanes, J., García-Peñalvo, F., Gonçalves, J., Sánchez, J., & Ruisoto, P. (2018). Virtual Reality as an Educational and Training Tool for Medicine. Journal of Medical Systems, 42 (50), 1-5. https://doi.org/10.1007/s10916-018-0900-2
  • Hanson, J., Andersen, P., & Dunn, P. (2019). Effectiveness of three-dimensional visualisation on undergraduate nursing and midwifery students' knowledge and achievement in pharmacology: A mixed methods study. Nurse Education Today, 81, 19-25. https://doi.org/10.1016/j.nedt.2019.06.008
  • Huttar, C., & Brintzenhofeszoc, K. (2019). Virtual Reality and Computer Simulation in Social Work Education: A Systematic Review. Journal of Social Work Education, 1-11. https://doi.org/10.1080/10437797.2019.1648221
  • Holden, G., Rosenberg, G., & Barker, K. (2005). Bibliometrics in social work. Binghamton, NY: Haworth Press.
  • Hou, H., Kretschmer, H., & Liu, Z. (2008). The structure of scientific collaboration networks in Scientometrics. Scientometrics, 75 (2), 189–202. https://doi.org/10.1007/s11192-007-1771-3
  • Johnson, A., Roussos, M., Leigh, J., Vasilakis, C., & Barnes, C.; Moher, T. (1998). The NICE project: learning together in a virtual world. In Proceedings of the IEEE virtual reality Annual International Symposium, (pp.176–183). Atlanta: Institute of Electrical and Electronic Engineering (IEEE)
  • Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31 (1), 7-15.https://doi.org/10.1016/0020-0190(89)90102-6
  • Kavanagh, S., Luxton-Reilly, A., Wuensche, B., & Plimmer, B. (2017). A systematic review of Virtual Reality in education. Themes in Science and Technology Education, 10 (2), 85-119.
  • Kim, M., & Hall, C. (2019). A hedonic motivation model in virtual reality tourism: Comparing visitors and non-visitors. International Journal of Information Management, 46, 236-249. https://doi.org/10.1016/j.ijinfomgt.2018.11.016
  • Lee, E., & Wong, K. (2014). Learning with desktop virtual reality: Low spatial ability learners are more positively affected. Computers & Education, 79 (1), 49–58. https://doi.org/10.1016/j.compedu.2014.07.010
  • Autor (2016). Design and application of an immersive virtual reality system to enhance emotional skills for children with autism spectrum disorders. Computers & Education, 98 (1), 192-205. https://doi.org/10.1016/j.compedu.2016.03.018
  • Autor (2019). The application of immersive virtual reality for students with ASD: A review between 1990–2017. Education and Information Technologies, 24 (1), 127-151. https://doi.org/10.1007/s10639-018-9766-7
  • Autor (2020). Application of virtual reality in people with ASD from 1996 to 2019. Journal of Enabling Technologies, 14 (2), 99-114. https://doi.org/10.1108/JET-01-2020-0005
  • Marín, V., & Muñoz, V. P. (2018). Trabajar el cuerpo humano con realidad aumentada en educación infantil. Revista Tecnología, Ciencia y Educación, 9, 148-158. https://doi.org/10.51302/tce.2018.177
  • Martínez, M.A., Cobo, M., Herrera, M., & Herrera-Viedma, E. (2015). Analyzing the Scientific Evolution of Social Work Using Science Mapping. Research on Social Work using Science mapping. Research on Social Work Practice, 25 (2), 257-277. https://doi.org/10.1177/1049731514522101
  • McCain, K. W. (1990). Mapping authors in intellectual space: A technical overview. Journal of the American Society for Information Science and Technology, 41 (6), 433–43. https://doi.org/10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q
  • Mc Donald, D., Crabtree, J. R., Wiesinger, G., Dax, T., Stamou, N., Fleury, P., Gutierrez-Lazpita, J., & Gibon, A. (2000). Agricultural abandonment in mountain areas of Europe: environmental consequences and policy response. Journal of Environmental Manage, 59 (1), 47-69. https:// doi.org/10.1006/jema.1999.0335.
  • McGovern, E., Moreira, G., & Luna-Nevarez, C. (2020). An application of virtual reality in education: Can this technology enhance the quality of students’ learning experience?, Journal of Education for Business, 95 (7) , 490-496.https://doi.org/10.1080/08832323.2019.1703096
  • Newman, D. (2018). 4 Reasons 5G Is Critical for Mass Adoption of AR and VR. Fortune Magazine, Mar 27th, 2018. Recuperado de https://www.forbes.com/sites/daniel newman/2018/03/27/4-reasons-5g-is-critical-for-mass-adoptionof-ar-and-vr/#501f9ac01878
  • Noyons, E., Moed, H., & Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American Society for Information Science, 50, 115–131.https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID-ASI3>3.0.CO;2-J
  • Page, M., & Moher, D. (2017). Evaluations of the uptake and impact of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Statement and extensions: A scoping review. Systematic reviews, 6 (1), 263.https://doi.org/10.1186/s13643-017-0663-8
  • Parsons, S., & Cobb, S. (2011). State-of-the-art of virtual reality technologies for children on the autism spectrum. European Journal of Special Needs Education, 26 (3), 355-366. https://doi.org/10.1080/08856257.2011.593831
  • Pérez, R., Mercado, P., Martínez, M., Mena, E., & Partida, J.A. (2018). La Sociedad del conocimiento y la Sociedad de la Información como la piedra angular en la innovación tecnológica educativa. Revista Iberoamericana para la Investigación y el desarrollo educativo, 8 (16), 1-24.
  • Pons, P., & Latapi, M. (2006). Computing communities in large networks using random walks. Journal of Graph Algorithms and Applications, 10 (2), 191-218. https: //doi.org /10.7155/jgaa.00124
  • Pradhan, T., & Pal, S. (2020). A hybrid personalized scholarly venue recommender system integrating social network analysis and contextual similarity. Future Generation Computer Systems, 110 (1), 1139-1166.https://doi.org/10.1016/j.future.2019.11.017
  • Rahman, M. (2017). Basic Graph Terminologies. In M. Rahman (Eds), Basic Graph Theory (pp.11-29). Switzerland. Springer International Publishing
  • Ramos, C. (2012). Estructuras de comunicación en el campo de la ciencia social en Chile: un análisis de redes. Redes: Revista Hispana para el Análisis de Redes Sociales, 1 (23), 7-42. https://doi.org/10.5565/rev/redes.438
  • Rodríguez-García, A., Trujillo, J.M., & Sánchez, J. (2019). Impacto de la productividad científica sobre competencia digital de los futuros docentes: aproximación bibliométrica en Scopus y Web of Science. Revista Complutense de Educación, 30 (2), 626-646. https://doi.org/10.5209/RCED.58862
  • Rodríguez-Soler, R., Uribe-Toril, J., & De-Pablo Valenciano, J. (2020). Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using Bibliometrix R-tool. Land Use Policy, 97 (1), 1-20. https://doi.org/10.1016/j.landusepol.2020.104787
  • Repiso, R., & Torres-Salinas, D. (2016). Características e implicaciones de la base de datos Emerging Sources Citation Index (Thomson Reuters): las revistas en estado transitorio. Anuario Thinkepi, 10 (1), 234-236. https: //doi.org/10.3145/thinkepi.2016.46
  • Small, H. (1973). Co-citation in the Scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24 (4), 28-31. https://doi.org/10.1002/asi.4630240406
  • Small, H. (2004). On the shoulders of Robert Merton: towards a normative theory of citation. Scientometrics, 60 (1), 71-79. https://doi.org/10.1023/B:SCIE.0000027310.68393.bc
  • Sporns, O. (2018). Graph Theory methods: applications in brain networks. Dialogues Clin Neurosci. 20 (2), 111–121.https://doi.org/ 10.31887/DCNS.2018.20.2/ospornsL
  • Sural, I. (2018). Augmented Reality Experience: Initial Perceptions of Higher Education Students. International Journal of Instruction, 11 (4), 565-576. https://doi.org/10.12973/iji.2018.11435a
  • Viñals, A., & Cuenca, J. (2016). El rol del docente en la era digital. Revista Interuniversitaria de Formación del Profesorado, 30 (2), 103-114. https://doi.org/10.47553/rifop.v30i2
  • White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32 (3), 163–171. https://doi.org/10.1002/asi.4630320302
  • Wu, W., Heartless, J., Tesei, A., Gunji, V., Ayer, S., & London, J. (2019). Design Assessment in Virtual and Mixed Reality Environments: Comparison of Novices and Experts. Journal of Construction Engineering and Management, 145 (9), 1-14. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001683
  • Zhao, R., Li, D., Wei, M., & Li, X. (2021). The contents and methods of knowledge network from the perspective of bibliometrics. Technology Analysis & Strategic Management. https://doi.org/10.1080/09537325.2021.1894329
  • Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., & Duang, Z. (2016). Comparing keywords plus of WOS and author keywords: A case study of patient adherence research. Journal of the association for information science and technology, 67 (4), 967-972. https://doi.org/10.1002/asi.23437
  • Zupic, I., & Cater, T. (2015). Bibliometric methods in Management and Organization. Organizational. Research Methods, 18 (3), 429-472. https://doi.org/10.1177/1094428114562629
La source de données: Dialnet