Factors for the Acceptance and Use of a Learning Management System in Students of an Ecuadorian University
DOI:
https://doi.org/10.15359/ree.25-3.10Keywords:
Ecuador, university student, technology acceptance model, learning management systemAbstract
Introduction. Despite the proven efficiency of Learning Management Systems (LMS), their success will depend on the use and acceptance of students. Therefore, it is essential to understand the relationship between the factors that determine their use in order to design effective strategies, actions, and initiatives that promote LMS usage. Objective. To analyze the factors that influence the acceptance and use of LMS in Ecuadorian university students. Method. The final sample consisted of 304 students from four different degree programs at a private university; the students filled out a questionnaire designed based on the Technological Acceptance Model derived from the theory of reasoned action. The reliability and validity of the instrument were analyzed, and then the Partial Least Squares structural equation modeling (PLS-SEM) was used. Results. The instrument showed an adequate internal consistency and a tetrafactorial structure. The results suggest that computational self-efficacy has a positive influence on ease of use and perceived utility. These, in turn, affect attitude towards use, which directly influences the use of the systems. Conclusion. The Technology Acceptance Model is suitable for studying factors regarding the use of LMS. On average, students perceive the systems to be easy to learn and use, but it represents little benefit. Given the influence of computational self-efficacy on the proposed model, we recommend taking action to increase student exposure to technological devices and encourage self-motivation by enhancing their skills in these.
References
Al-Azawei, A., Parslow, P. y Lundqvist, K. (2016). Investigating the effect of learning styles in a blended e-learning system: An extension of the technology acceptance model (TAM). Australasian Journal of Educational Technology, 33(2), 1-23. http://dx.doi.org/10.14742/ajet.2758
Arteaga Sánchez, R. y Duarte Hueros, A. (2010). Análisis de las plataformas de enseñanza virtuales desde la perspectiva del TAM. En J. M. Pérez Tornero, J. Cabero Almenara y L. Vilches (Coords.), Congreso euro-iberoamericano de alfabetización mediática y culturas digitales (pp. 1-11). Universidad de Sevilla. https://idus.us.es/handle/11441/57007
Ato, M., López, J. J. y Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. http://dx.doi.org/10.6018/analesps.29.3.178511
Bedregal-Alpaca, N., Cornejo-Aparicio, V., Tupacyupanqui-Jaén, D. y Flores-Silva, S. (2019). Evaluación de la percepción estudiantil en relación al uso de la plataforma Moodle desde la perspectiva del TAM. Ingeniare. Revista chilena de ingeniería, 27(4), 707-718. http://dx.doi.org/10.4067/S0718-33052019000400707
Bermúdez-Rodríguez, F. y Fueyo-Gutiérrez, M. A. (2018). Transformando la docencia: Usos de las plataformas de e-learning en la educación superior presencial. Revista Mediterránea de Comunicación, 9(2), 259-273. https://www.mediterranea-comunicacion.org/article/view/2018-v9-n2-transformando-la-docencia-usos-de-las-plataformas-de-e-learning-en-la-educacion-superior-presencial
Cabero-Almenara, J., Gallego Pérez, O., Puentes Puente, Á. y Jiménez Rosa, T. (2018). La “aceptación de la tecnología de la formación virtual” y su relación con la capacitación docente en docencia virtual. Edmetic Revista de Educación Mediática y TIC, 7(1), 225-241. https://doi.org/10.21071/edmetic.v7i1.10028
Calvo Porral, C. (2019). Aceptación de la plataforma Moodle por parte del alumnado universitario como herramienta de enseñanza-aprendizaje. En Red de Investigación e Innovación Educativa (Ed.), Conference proceedings 4 Virgtual International Conference on Education, Innovation and ICT (pp. 153-157). Redine. https://dialnet.unirioja.es/editor/13025
Chan, Y. H. (2003). Biostatistics 104: Correlational analysis. Singapore Medical Journal, 44(12), 614-619. http://www.smj.org.sg/article/biostatistics-104-correlational-analysis
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
De Vaus, D. (2002). Analyzing social science data: 50 Key problems in data analysis. SAGE Publications. https://uk.sagepub.com/en-gb/eur/analyzing-social-science-data/book207458
Etikan, I., Abubakar Musa, S. y Sunusi Alkassim, R. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. https://doi.org/10.11648/j.ajtas.20160501.11
Fathema, N., Shannon, D. y Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions. MERLOT Journal of Online Learning and Teaching, 11(2), 210-232. https://jolt.merlot.org/Vol11no2/Fathema_0615.pdf
Franco Castaño, S. (2016). Factores determinantes de la aceptación tecnológica del e-commerce en los municipios del Altiplano del Oriente Antioqueño [Tesis de maestría]. Universidad Nacional de Colombia. https://repositorio.unal.edu.co/handle/unal/57658
González Aponcio, Z. y Calvo Aizpuru, M. (2018). Uso de la plataforma Moodle en el proceso de aprendizaje de las asignaturas de sistemas de información empresarial. En A. Vega Navarro y D. Stendardi (Coords.), De la innovación imaginada a los procesos de cambio (pp. 419-434). Servicio de Publicaciones de la Universidad de la Laguna. https://riull.ull.es/xmlui/handle/915/9444
González-Bravo, L. y Valdivia-Peralta, M. (2015). Posibilidades para el uso del modelo de aceptación de la tecnología (TAM) y de la teoría de los marcos tecnológicos para evaluar la aceptación de nuevas tecnologías para el aseguramiento de la calidad en la educación superior chilena. Revista Electrónica Educare, 19(2), 181-196. http://dx.doi.org/10.15359/ree.19-2.11
Govender, I. y Rootman-le Grange, I. (2015). Evaluating the early adoption of moodle at higher education institution. En A. Jeffries y M. Cubric (Eds.), 14th European conference on e-Learning (pp. 230-237). University of Hertfordshire. https://www.researchgate.net/publication/320805629_Evaluating_the_early_adoption_of_Moodle_at_a_higher_education_institution
Gravetter, F. J. y Wallnau, L. B. (2014). Essentials of statistics for the behavioral sciences (8.a ed.). Wadsworth. https://www.cengagebrain.com.mx/shop/isbn/9781133956570
Hair, J. F., Jr., Hult, G. T. M., Ringle, C. M. y Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications. https://us.sagepub.com/en-us/nam/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book244583
Hair, J. F., Sarstedt, M., Ringle, C. M. y Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433. https://doi.org/10.1007/s11747-011-0261-6
Heflin, H., Shewmaker, J. y Nguyen, J. (2018). Impact of mobile technology on student attitudes, engagement, and learning. Computers & Education, 107, 91-99. https://doi.org/10.1016/j.compedu.2017.01.006
Henseler, J., Ringle, C. M. y Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hill, R. J. (1977). [Trabajo de revisión del libro Belief, attitude, intention, and behavior: An introduction to theory and research, por M. Fishbein e I. Ajzen]. Contemporary Sociology, 6(2), 244-245. https://doi.org/10.2307/2065853
Montaño, D. E. y Kasprzyk, D. (2015). Chapter 6: Theory of reasoned action, theory of planned behavior. and the integrated behavioral model. En K. Glanz, B. Rimer y B. K. V. Viswanath (Eds.), Health behavior: Theory, research, and practice (5.a ed., pp. 95-124). Jossey-Bass. https://psycnet.apa.org/record/2015-35837-000
Patiño-Toro, O. N., Bermeo-Giraldo, C., Valencia-Arias, A., Garcés-Giraldo, L. F. (2020). Factores que inciden en el aprendizaje en gestión tecnológica e innovación en estudiantes de administración mediante el modelo de aceptación tecnológica. Formación Universitaria, 13(5), 77-86. http://dx.doi.org/10.4067/S0718-50062020000500077
Piedmont, R. L. (2014). Inter-item correlations. En A. C. Michalos (Ed.), Encyclopedia of quality of life and well-being research (pp. 3303-3304). Springer. https://www.springer.com/gp/book/9789400707528
Rabaa’i, A. A. (2016). Extending the technology acceptance Model (TAM) to assess students’ behavioural intentions to adopt an elLearning system: The case of moodle as a learning tool. Journal of Emerging Trends in Engineering and Applied Sciences, 7(1), 13-30. https://www.researchgate.net/publication/325498824_Extending_the_Technology_Acceptance_Model_TAM_to_assess_Students%27_Behavioural_Intentions_to_adopt_an_e-Learning_System_The_Case_of_Moodle_as_a_Learning_Tool
Samperio Pacheco, V. M. y Barragán López, J. F. (2018). Análisis de la percepción de docentes, usuarios de una plataforma educativa a través de los modelos TPACK, SAMR y TAM3 en una institución de educación superior. Apertura: Revista de Innovación Educativa, 10(1), 116-131. https://www.ingentaconnect.com/content/doaj/16656180/2018/00000010/00000001/art00008
Sánchez Prieto, J. C., Olmos Migueláñez, S. y García-Peñalvo, F. J. (2017). ¿Utilizarán los futuros docentes las tecnologías móviles? Validación de una propuesta de modelo TAM extendido. RED. Revista de Educación a Distancia, 52(5), 1-30. https://doi.org/10.6018/red/52/5
Solano Cóndor, H. J. y Abella García, V. (2017). Factores determinantes de la aceptación de Cisco Netscape: Estudio empírico basado en TAM. Pixel-Bit: Revista de Medios y Educación, (51), 211-225. https://doi.org/10.12795/pixelbit.2017.i51.14
Tarhini, A., Hone, K., Liu, X. y Tarhini, T. (2017). Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: A∫ structural equation modeling of an extended technology acceptance model. Interactive Learning Environments, 25(3), 306-328. https://doi.org/10.1080/10494820.2015.1122635
Torres Albero, C., Robles, J. M., De Marco, S. y Antino, M. (2017). Revisión analítica del modelo de aceptación de la tecnología. El cambio tecnológico. Papers: revista de sociología, 102(1) 5-27. https://doi.org/10.5565/rev/papers.2233
Urquidi Martín, A. C., Calabor Prieto, M. S. y Tamarit Aznar, C. (2019). Entornos virtuales de aprendizaje: Modelo ampliado de aceptación de la tecnología. Revista Electrónica de Investigación Educativa, 21, 1-12. https://doi.org/10.24320/redie.2019.21.e22.1866
Venkatesh, V. y Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V. y Davis, F. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
Venkatesh, V. y Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Davis, F. D. y Morris, M. G. (2007). Dead or Alive? The development, trajectory and future of technology adoption research. Journal of the Association for Information Systems, 8(4), 267-286. https://doi.org/10.17705/1jais.00120
Venkatesh, V., Morris, M. G. y Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational Behavior and Human Decision Processes, 83(1), 33-60. https://doi.org/10.1006/obhd.2000.2896
Yáñez-Luna, J. C. y Arias-Oliva, M. (2018). M-learning: Aceptación tecnológica de dispositivos móviles en la formación online. Revista Tecnología, Ciencia y Educación, (10), 13-34. https://doi.org/10.51302/tce.2018.193
Yong Varela, L. A. (2004). Modelo de aceptación tecnológica (TAM) para determinar los efectos de las dimensiones de cultura nacional en la acpetación de las TIC. Revista Internacional de Ciencias Sociales y Humanidades, SOCIOTAM, 14(1), 131-171. https://www.redalyc.org/pdf/654/65414107.pdf
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