Translation, Cross-Cultural Adaptation, Psychometric Evaluation, and Proposal of a Short Version of the Mobile Learning Perception Scale.
Abstract
Mobile Learning (M-Learning) promotes learning thanks to the temporal and spatial versatility of mobile technologies. Understanding the perception of M-Learning among Health Sciences teachers would facilitate the incorporation of this methodology into the classroom, making it essential to have an instrument to evaluate this construct in our country. The objective of this study was to carry out the cross-cultural adaptation, psychometric validation, and proposal of a short version of the Mobile Learning Perception Scale (MLPS) questionnaire into Argentine Spanish. An instrumental study was conducted. The 26 items of the MLPS were translated and adapted, ensuring the cultural appropriateness of the construct. Subsequently, expert judges assessed the clarity and relevance of the Spanish version, and the adjusted scale was completed by a sample of 305 Argentine teachers. Using Confirmatory Factor Analysis (CFA), three models were tested: the original three-factor model, a unidimensional model, and a brief version (items with factor loadings >.80 and R² >.65). The brief version of the scale, composed of 10 items, demonstrated better fit indices and acceptable error values. The analysis of the Average Variance Extracted yielded a satisfactory value (AVE = 0.96). The brief 10-item version of the MLPS in Argentine Spanish is a valid and reliable instrument for use in educational and research contexts with health sciences faculty.
Downloads
Metrics
-
Abstract61
-
pdf (Español (España))61
-
pdf61
References
Vidal Ledo MJ, Gavilondo Mariño X, Rodríguez Díaz A, Cuéllar Rojas A. Aprendizaje móvil. Educ Med Super. 2015;29(3):669-79. Disponible en: http://scielo.sld.cu
Cavus N, Shukshina LV, Chernova OE, Telezhko IV, Ishmuradova AM, Zakharova VL. Perceptions of foreign language teachers for M-learning. Int J Emerg Technol Learn. 2020;15(23):95-107. https://doi.org/10.3991/ijet.v15i23.18799
Zhonggen Y, Xiaozhi Y. An extended technology acceptance model of a mobile learning technology. Comput Appl Eng Educ. 2019;27(3):721-32. doi:10.1002/cae.22111
Akkaya S, Ciğerci MF, Kapıdere M. Investigation of the relationship between prospective teachers’ attitudes towards mobile learning and their readiness for mobile learning. Int Online J Educ Teach. 2021;8(4):2949-65. Disponible en: https://www.researchgate.net/publication/358044493
Al-Rahmi AM, Al-Rahmi WM, Alturki U, Aldraiweesh A, Almutairy S, Al-Adwan AS. Exploring the factors affecting mobile learning for sustainability in higher education. Sustainability. 2021;13(14):7873. doi:10.3390/su13147893
Contreras Y. M-learning: aprendizaje en cualquier lugar y en todo momento. Rev Arjé. 2018;12(23):149-57. Disponible en: https://arje.bc.uc.edu.ve/arje23e/art16.pdf
Criollo-C S, Guerrero-Arias A, Jaramillo-Álcazar Á, Luján-Mora S. Mobile learning technologies for education: benefits and pending issues. Appl Sci. 2021;11(9):4111. doi:10.3390/app11094111
Domingo MG, Garganté AB. Exploring the use of educational technology in primary education: teachers’ perception of mobile technology learning impacts and applications’ use in the classroom. Comput Human Behav. 2016;56:21-8. doi:10.1016/j.chb.2015.11.023
Hwang BL, Chou TC, Huang CH. Actualizing the affordance of mobile technology for mobile learning digital. 2021. Disponible en: https://www.researchgate.net/publication/351980081
Walsh K. Mobile Learning in Medical Education: Review. Ethiop J Health Sci. 2015 Oct;25(4):363-6. doi:10.4314/ejhs.v25i4
Valencia-Arias A, Cardona-Acevedo S, Gómez-Molina S, Vélez Holguín RM, Valencia J. Adoption of mobile learning in the university context: Systematic literature review. PLoS One. 2024 Jun 7;19(6):e0304116. doi:10.1371/journal.pone.0304116
Hwang BL, Huang CH. Actualizing the affordance of mobile technology for mobile learning: a main path analysis of mobile learning. Educ Technol Soc. 2021;24(4):67-80. Disponible en: https://www.researchgate.net/publication/351980081
Grané M, Crescenzi L, Olmedo K. Cambios en el uso y la concepción de las TIC, implementando el mobile learning. Rev Educ Distancia. 2013;37:2-19. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=4955184
Sophonhiranrak S. Features, barriers, and influencing factors of mobile learning in higher education: a systematic review. Heliyon. 2021;7(4):e06696. doi:10.1016/j.heliyon.2021.e06696
Guidetti G, Viotti S, Converso D. Mobile learning perception scale: a short version for the Italian context. 2017. Disponible en: https://www.researchgate.net/publication/321716774
Chao CC. Evaluating teachers’ attitudes toward the use of wireless-mobile technologies in supporting learning: an instrument development study. 2005. Disponible en: http://press.nokia.com/PR/200009/790728_5.html
Yi CC, Liao PW, Huang CF, Hwang IH. Acceptance of mobile learning: a respecification and validation of information system success. J Educ Pedagog Sci. 2009;3(5). Disponible en: http://rportal.lib.ntnu.edu.tw/items/fb81350d-529c-4654-a11c-9b526a661da8
Ozdamli F, Uzunboylu H. M-learning adequacy and perceptions of students and teachers in secondary schools. Br J Educ Technol. 2015;46(1):159-72. doi:10.1111/bjet.12136
Roche AJ. M-learning: a psychometric study of the Mobile Learning Perception Scale [tesis doctoral]. Bethlehem (PA): Lehigh University; 2013. Disponible en: http://preserve.lehigh.edu/etd
Montero I, León OG. A guide for naming research studies in psychology. Int J Clin Health Psychol. 2007;7(3):847-62. Disponible en: https://www.redalyc.org/pdf/337/33770318.pdf
Arribas A. Adaptación transcultural de instrumentos. Guía para el proceso de validación de instrumentos tipo encuestas. Rev Cient AMBB. 2006;16(3):74-82. Disponible en: https://www.researchgate.net/publication/228503861_Adaptacion_Transcultural_de_Instrumentos_Guia_para_el_Proceso_de_Validacion_de_Instrumentos_Tipo_Encuestas
Brown T. Confirmatory factor analysis for applied research. New York: Guilford Press; 2006. Disponible en: file:///C:/Users/nscas/Downloads/MethodologyintheSocialSciencesTimothyA.BrownPsyD-ConfirmatoryFactorAnalysisforAppliedResearchSecondEdition-TheGuilfordPress2015.pdf
The JASP Team. JASP (version 0.9) [software]. Amsterdam: University of Amsterdam; 2018.
Hair JF, Black W, Babin B, Anderson R. Multivariate data analysis. 8th ed. New Delhi: Cengage; 2018. Disponible en: https://books.google.com.ar/books/about/Multivariate_Data_Analysis.html?id=0R9ZswEACAAJ&redir_esc=y
Moral de la Rubia J. Revisión de los criterios para validez convergente estimada a través de la varianza media extraída. Psychologia. 2019;13(2):25-41. doi:10.21500/19002386.4119
Kline RB. Principles and practice of structural equation modeling. 3rd ed. New York: Guilford Press; 2011. Disponible en: http://ndl.ethernet.edu.et/bitstream/123456789/74702/1/35.pdf
Lévy JP, González N. Modelización con estructuras de covarianzas en ciencias sociales. A Coruña: Netbiblo; 2006. p.155-75.
Cupani M. Análisis de ecuaciones estructurales: conceptos, etapas de desarrollo y un ejemplo de aplicación. Rev Tesis. 2012;1:186-99. Disponible en: https://repositoriosdigitales.mincyt.gob.ar/vufind/Record/RDUUNC_298969260e96d35bba7fa8351c7e7193
Rial Boubeta A, Varela Mallou J, Abalo Piñeiro J, Lévy Mangin JP. El análisis factorial confirmatorio. En: Lévy Mangin JP, Varela Mallou J, editores. Modelización con estructuras de covarianzas en ciencias sociales: temas esenciales, avanzados y aportaciones especiales. A Coruña: Netbiblo; 2006. p.119-43.
Martínez Arias R. Diseños muestrales probabilísticos. En: Métodos de investigación en psicología. Madrid: Síntesis; 1995. p.433-84
Sánchez Lupiáñez F. Análisis de la percepción docente sobre el uso de las apps [tesis doctoral]. Granada: Universidad de Granada; 2015. Disponible en: https://digibug.ugr.es/handle/10481/40557
Copyright (c) 2025 Servicio de Publicaciones de la Universidad de Murcia

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The works published in this magazine are subject to the following terms:
1. The Publications Service of the University of Murcia (the publisher) preserves the economic rights (copyright) of the published works and favors and allows them to be reused under the use license indicated in point 2.
2. The works are published under a Creative Commons Attribution-NonCommercial-NoDerivative 4.0 license.
3. Self-archiving conditions. Authors are allowed and encouraged to disseminate electronically the pre-print versions (version before being evaluated and sent to the journal) and / or post-print (version evaluated and accepted for publication) of their works before publication , since it favors its circulation and earlier diffusion and with it a possible increase in its citation and reach among the academic community.












