El mapeado científico sobre el Trastorno del Espectro Autista en la educación a través del análisis intelectual, social y conceptual
ISSN: 1132-1873, 1988-2858
Any de publicació: 2023
Volum: 33
Número: 1
Pàgines: 147-173
Tipus: Article
Altres publicacions en: Revista general de información y documentación
Resum
En las sociedades actuales es cada vez mayor el número de alumnado con Necesidades Específicas de Apoyo Educativo existente en nuestras aulas. En los últimos años se ha detectado una presencia cada vez mayor de alumnado con Trastorno del Espectro Autista. Por ello, se plantea como objetivo analizar la evolución de la producción científica sobre el trastorno del espectro autista utilizando la aproximación bibliométrica del mapeado científico a partir del estudio de la estructura intelectual, social y conceptual durante el período 1969-2021. Se realizó una búsqueda mediante la base de datos Web of Science y se establecieron los términos de búsqueda con ERIC y Thesaurus. De manera que tras aplicar los criterios de inclusión y exclusión se obtuvieron 951 documentos. Los resultados muestran que desde el punto de vista temático tanto la intervención temprana como la intervención con nuevas metodologías como las TIC son los tópicos actuales que se están trabajando en el campo. Asimismo, las revistas se agrupan en función de tres líneas de publicación: psicología, educación especial, Educación y Tecnología. Finalmente, APA (2013) y APA (2000) junto con Horner et al., (2005) son los documentos en torno a los cuales se agrupan las redes de co-citación de documentos. Como futuras líneas de trabajo, se plantean la posibilidad de utilizar otros software de análisis que complemente la información obtenida
Referències bibliogràfiques
- Abdill, R. J., Adamowicz, E. M., & Blekhman, R. (2020). International authorship and collaboration across bior-xiv preprints. ELife, 9, 1- 17. https://doi.org/10.7554/eLife.58496
- American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.-text revision). Washington, DC: American Psychiatric Association
- American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.
- Aria, M., y 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., y 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.
- 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
- Baker, H., Kumar, S. y Pandey, N. (2020). A bibliometric analysis of Managerial Finance: A retrospective. Managerial Finance, 46(11), 1495-1517.
- Baker, H., Kumar, S. y Pandey, N. (2021). Forty years of the Journal of future Markets: A bibliometric overview. Journal of Future Markets. https://doi.org/10.1002/fut.22211
- Beltrán, O. (2005). Revisiones sistemáticas de la literatura. Revista colombiana de Gaestroenterología, 20 (1), 60-69.
- Bellini, S. y Akullian, J. (2007). A Meta-Analysis of Video Modeling and Video SelfModeling Interventions for Children and Adolescents with Autism Spectrum Disorders. Exceptional Children, 73(3),264-287. https://doi.org/10.1177/00144029070730030
- Börner, K., Chen, C. y Boyack, K. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179–255.
- Braun, V. y Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology , 3(2), 77-101. DOI 10.1191/, 10.1191/1478088706QP063OA
- Callon, M., Courtial, J., Turner, W., y Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(1) ,191–235.https://doi.org/10.1177/053901883022002003
- Cardona-Arias, D., Becerra, J. y Rodríguez, D. (2017). Análisis bibliométrico sobre direccionamiento de los estudios en Riesgos Financieros. Revista Espacios, 38(59), 2.
- Chang, Y., Huang, M. y Lin, C. (2015). Evolution of research subjects and information science based on keyword bibliographical coupling and co-citation analyses. Scientometrics, 105(3), 2071-2087
- Cobo, M., López-Herrera, A., Herrera-Viedma, E., y Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy sets theory field. Journal of Informetrics, 5(1), 146– 166. https://doi.org/10.1016/j.joi.2010.10.002
- Connelly, L. (2020). Inclusion and Exclusion Criteria. Medsurg Nursing, 29(2), 125. Delano, M. (2007). Improving written language performance of adolescents with Asperger Syndrome. Journal of applied behaviour analysis, 40(2), 345-351. https://doi.org/10.1901/jaba.2007.50-06
- De Luca, R., Leonardi, S., Portaro,S., Le Cause,M., De Domenico,C., Valentiana,P., Pranio,F., Bramanti,P. y Salvatore, R. (2021). Innovative use of virtual reality in autism spectrum disorder: A case-study. Applied Neuropsychology: Child,10(1), 90-100. DOI: 10.1080/21622965.2019.161096
- Dakduk, S. y González, A. (2018). Analyzing Academic Performance Using Systematic Literature Review. SAGE Research Methods Cases., doi:10.4135/9781526447340.
- Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., y 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
- Furnham, A. (2020). What I have learned from my Google Scholar and H index. Scientometrics, 122(1), 1249–1254.https://doi.org/10.1007/s11192-019-03316-4
- García-Hernández, A. (2013). A bibliometric analysis of scientific collaboration networks and their effect on productivity. Investigación Bibliotecológica, 27(59), 159–175.
- Garfield, E., Malin, M., y 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.
- Gholampour, S., Alierza, N., Gholampour,B. y Alierza, E. (2019). Research trends and Bibliometric analysis of a Journal: Sport Management Review. Webbology ,16(2), 223-241.
- 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.
- Goyal, K., y Kumar, S. (2021). Financial literacy: A systematic review and bibliometric análisis. International Journal of Consumer Studies, 40(1), 80–105.
- Haas, A., Vannest, K., Thompson, J., Fuller, M. y Wattanawongwan, S. (2020). Peer mediated instruction and academic outcomes for students with autism spectrum disorders: a comparison of quality indicators. Mentoring and Tutoring: Partnership in Learning, 25(5), 625-642.
- Haegele, J. (2019). Inclusion Illusion: Questioning the Inclusiveness of Integrated Physical Education. Quest, 71(4), 387-397. https://doi.org/10.1080 /00336297.2019.1602547
- Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., y Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in scientific literature. Education Sciences, 9(1), 1– 9. https://doi.org/10.3390/educsci9010051
- Hirsch, J. (2005). An index to quantify an individual's scientific research output. Physical Science, 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102
- Hjørland, B. (2013). Citation analysis: A social and dynamic approach to knowledge organization. Information Processing & Management, 49(6), 1313-1325.
- Horner, R., Carr, E., Halle, J., McGee, G., Odom, S. y Wollery, M. (2005). The Use of Single-Subject Research to Identify Evidence-Based Practice in Special Education. Exceptional Children, 71(2), 165-179. https://doi.org/10.1177/ 001440290507100203
- Hou, H., Kretschmer, H., y 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
- Humphrey, N. (2008). Including pupils with autistic spectrum disorders in mainstream schools. Support for learning, 23(1), 41-47. https://doi.org/10.1111/j.1467- 9604.2007.00367.x
- Hutzler, Y., Meier, S., Reuker, S. y Zitomer, M.(2019). Attitudes and self-efficacy of physical education teachers toward inclusion of children with disabilities: a narrative review of international literature. Physical Education and Sport Pedagogy, 24(3), 249-266. https://doi.org/10.1080/17408989.2019.1571183
- Kamada, T., y 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
- Karami, B., Koushki, R., Arabgol, F., Rahmani, M. y Vahabie, A.H. (2021). Effectiveness of virtual/ augmented reality-based therapeutic interventions on individuals with autism spectrum disorder: a comprehensive meta-analysis. Frontiers in Psychiatry, 12 (1), 887.
- Kavanagh, S., Luxton-Reilly, A., Wuenshce, B., y Plimmer, B. (2017). A systematic review of virtual reality in Education. Themes in Science and Technology Education, 10(2), 85-119.
- Kozleski, E., Articles, A. y Waitoller, F. (2014). Equity in inclusive education: a cultural historial comparative perspective. In L. Florian (eds), The handbook of Special Education (pp.231-249). Sagae Publications.
- Landa-Ramírez, E. D.(2014). Herramienta PICO para la formulación y búsqueda de preguntas clínicamente relevantes en la psicooncología basada en la evidencia. PSICOONCOLOGÍA. , 11(2-3), 259-270. doi:DOI: 10.5209
- Lorenzo, G. (2022). Análisis de la producción científica en el uso de la realidad virtual en la educación a partir de la estructura conceptual, social e intelectual. Revista de Educación a Distancia (RED), 22(69), 1-31 DOI: http://dx.doi.org/10.6018/red.502601
- Lorenzo, G., Lledó, A., Pomares, J., y Roig-Vila, R. (2016). Design and application of an immersive virtual reality system to enhance emotional skills for children with autism spectrum disorders, Computers and Education, 98 (1), 192-205.
- Lorenzo, G., Lorenzo-Lledó, A., Lledó, A. y Pérez-Vázquez, E. (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
- Lorenzo, G., Gilabert, A., Lledó, A. y Lorenzo-Lledó (2022a). Analysis of Trends in the Application of Augmented Reality in Students with ASD: Intellectual, Social and Conceptual Structure of Scientific Production Through WOS and Scopus. Technology, Knowledge, and Learning. https://doi.org/10.1007/s10758-021- 09582-7
- Lorenzo, G., Newbutt, N. & Lorenzo-Lledó.(2022b). A. Global trends in the application of virtual reality for people with autism spectrum disorders: conceptual, intellectual and the social structure of scientific production. Journal of Computers in Education, 9(1), 225–260 https://doi.org/10.1007/s40692-021-00202-y
- Luijendijk, H. (2021). How to create PICO questions about diagnostics test. BMJ EvidBased Med, 26(4), 155.https://doi.org/10.1136/bmjebm-2021-111676.
- Makkizadeh, F y Sa’adat, M. (2017). Bibliometric and thematic analyis of articles in the field of intertility (2011-2015). International Journal of Reproductive Biomedicine,15(11), 719-728.
- Martínez, M.A., Cobo, M., Herrera, M., y 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
- Mc Donald, D., Crabtree, J. R., Wiesinger, G., Dax, T., Stamou, N., Fleury, P., GutierrezLazpita, J., y 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
- Moher, D., Stewart, L. y Shekelle, P. (2016). Implementing PRISMA-P: recommendations for prospective authors. Syst Rev 5, 1.https://doi.org/10.1186/s13643-016-0191-y
- Moon, J. y Ke, F. (2021). Exploring the treatment integrity of virtual reality-based social skills training for children with high-functioning autism. Interactive Learning Environments, 29(6), 939-953. DOI: 10.1080/10494820.2019.1613665.
- Moya-Anegón, F., Vargas-Quesada, B., Chinchilla-Rodríguez, Z., Corera-Álvarez, E., González-Molina, A., Muñoz-Fernández, FJ. y Herrero-Solana, V. (2006). Visualización y análisis de la estructura científico-española: ISI Web of Science, 1990-2005. El profesional de la Información, 15(4), 258-269.
- Newbutt, N., Bradley, R. y Conley, I. (2020). Using virtual reality head-mounted displays in schools with autistic children: Views, experiences, and future directions. Cyberpsychology, Behavior, and Social Networking, 23 (1), 23-33.
- Noyons, E., Moed, H., y 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
- Özçinar, H. (2015). Mapping teacher education domain: A document co-citation analysis from 1992 to 2012. Teaching & Teacher Education, 47(1), 42– 61. https://doi.org/10.1016/j.tate.2014.12.006
- Page, M., y 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.
- Pons, P., y 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., y 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
- Premack, D., y Woodruff, G. (1978). Does the chimpanzee have a theory of mind? Behavioural and Brain Sciences, 4, 515– 526. https://doi.org/10.1017/S0140525X00076512.
- Repiso, R., y 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
- Rodríguez-Soler, R., Uribe-Toril, J., y 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
- Rossetto, D.E., Bernardes, R.C., Borini, F. y Chaves, C. (2018). Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis. Scientometrics, 115(1),1329–1363.
- Schmidt, M., Schmidt, C., Glaser, N., Beck, D., Lim, M. y Palmer, H. (2021). Evaluation of a spherical video-based virtual learning intervention to teach adaptive skills for adults with autism: a preliminary report. Interactive Learning Environments, 29(3), 345-364. DOI: 10.1080/10494820.2019.1579236
- Sharma, U., Forlin, C., Marella, M. y Jitoko, F. (2017). Using indicators, a catalyst for inclusive education in the Pacific Islands. International Journal of Inclusive Education, 21(7), 730-746,
- Tahamtan, I., Afshar, A. y Ahamdzadeh, K. (2016). Factors affecting number of citations: A comprehensive review of the literature. Scientometrics, 107(1), 1195-1225.
- Urrutia, G., y Bonfill, X. (2010). Declaración PRISMA: una propuesta para mejorar la publicación de revisiones sistemáticas y metaanálisis. Medicina Clínica, 135(11), 507-511. DOI: 10.1016/j.medcli.2010.01.015
- Vabalas, A., Gowen, E., Poliakoff, E. y Casson, A. (2019). Machine learning algorithm validation with a limited sample size. PLoS One, 14(11), e0224365, doi: 10.1371/journal.pone.0224365.
- Xu, J. y Xiao, P (2022). A Bibliometric Analysis on the Effects of Land Use Change on Ecosystem Services: Current Status, Progress, and Future Directions. Sustainability, 14(5), 1-24.
- Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., y 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
- Zhang, Y., Hua. W. y Yuan, S. (2018). Mapping the scientific research on open data: A bibliometric review. Learned Published, 31(2), 95-106. https://doi.org/10.1002/leap.1110
- Zupic, I., y Cater, T. (2015). Bibliometric methods in Management and Organization. Organizational. Research Methods, 18 (3), 429- 472.https://doi.org/10.1177/1094428114562629