Students' Perception and Acceptance of B-Learning in Engineering Mathematics: A TAM-Based Approach

Authors

DOI:

https://doi.org/10.18050/eduser.v11n1a6

Keywords:

b-learning, TAM, mathematics education, engineering, technology acceptance

Abstract

This study investigates the acceptance of b-learning in mathematics courses for engineering students, utilizing the Technology Acceptance Model (TAM) as the theoretical framework. A sample of 153 students from a technological university in Mexico was analyzed, focusing on key constructs such as Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Social Influence (SI), Facilitating Conditions (FC), Attitude Toward Use (AT), and Behavioral Intention (BI). The results demonstrate that TAM is a reliable predictor of b-learning acceptance, with an instrument reliability index of α = 0.9, supporting its capacity to identify the variables influencing the adoption of this educational modality. The analysis revealed that students' attitude toward b-learning is a significant determinant of their intention to learn mathematics through this method, while social influence, although relevant, did not show a direct relationship with their attitude toward learning. Facilitating conditions, including internet access and instructor support, positively impacted the perceived usefulness and ease of use of b-learning. These findings highlight the importance of ensuring adequate technological resources and institutional support to maximize the effectiveness of b-learning in mathematics education. Future research is recommended to explore additional predictive variables not considered in this study, for a more comprehensive analysis of TAM in educational contexts.

References

Abreu, J., Wingartz, N. & Hardy, N., (2019). New Trends in Solar: A Comparative Study Assessing the Attitudes Towards the Adoption of Rooftop PV, Energy Policy, 128, 347-363 https://doi.org/10.1016/j.enpol.2018.12.038

Abubakar, R.R., Amirrudin, K. & Nor, A. A. (2020). Challenges in the online component of blended learning: A systematic review. Computers & Education, 144. 103701 https://doi.org/10.1016/j.compedu.2019.103701.

Ajzen, I. (2020). The theory of planned behavior: frequently asked questions. Human behavior and emerging technologies, 2. 314-324. https://doi.org/10.1002/hbe2.195

Apaza, M.D. E. (2022). Competencias digitales docentes y el proceso de enseñanza aprendizaje con modalidad B-learning. Horizontes Revista de Investigación en Ciencias de la Educación, 6(24), 894-905. https://doi.org/10.33996/revistahorizontes.v6i24.384.

Area, M.M., Bethencourt, A. A., Martín, G. S. (2020). Visiones del alumnado. Campus virtuales, 9(2), 35-50. https://dialnet.unirioja.es/servlet/articulo?codigo=8005979

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.

Celada, R. E., Romero, C. R. Márquez, U. P., Espíritu, M. P., Espinoza, V., Espinoza, E.M., Gómez, P. K.K., Valero, A.V.N., Gonzales, F. I.K. (2023). Estrategia B-learning para un desarrollo significativo: una revisión bibliométrica. Bibliotecas. Anales de Investigacion, 19(2), 1-15 https://dialnet.unirioja.es/servlet/articulo?codigo=9050371

Cerrón, R. W. (2019). La investigación cualitativa en educación. Horizonte de la Ciencia, 9(17), 1-8. https://doi.org/10.26490/uncp.horizonteciencia.2019.17.510

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

Feria, R. A. J., Guayara, R. M. A., Vera, C., S. L., Castro, R. K. E. y Muñoz, M. S. (2023). Análisis del sistema de aprendizaje LMS utilizado para la gestión de tareas escolares bajo la modalidad b-learning en la institución educativa técnica la Chamba del Guamo Tolima. Revista Pensamiento Transformacional, 2(4), 50-69. https://revistapensamientotransformacional.editorialpiensadiferente.com/index.php/pensamiento_transformacional/article/view/34

Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intension and behavior: An introduction to theory and research. Addison Wesley

Fornell, C. y Bookstein, F. L. (1982). Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory. Journal of Marketing Research, 19(4), 440-452. https://doi.org/10.2307/3151718

García, A.L. (2021). COVID-19 y educación a distancia digital: preconfinamiento, confinamiento y posconfinamiento. RIED-Revista Iberoamericana De Educación a Distancia, 24(1), 09–32. https://doi.org/10.5944/ried.24.1.28080

Granic, F. & Marangunic, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50 (5), 2572-2593 https://doi.org/10.1111/bjet.12864

Guy, A. (2020). Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management, 29(4), 428-449. https://doi.org/10.1080/19368623.2019.1653807

Han, JH., Sa, H.J. (2022). Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID-19 situation in Korea. Asia Pacific Educ. Rev. 23, 403–415 https://doi.org/10.1007/s12564-021-09716-7

Hernández, A.C.E., Carpio, N. (2019). Introducción a los tipos de muestreo. Alerta, 2(1), 75-79. https://doi.org/10.5377/alerta.v2i1.7535

Hernández, S. R., Fernández, C. C., & Baptista, L. P. (2019). Metodología de la investigación. Ciudad de México. McGraw-Hill.

Lagos, R. G., Cevallos, C. A., Espinosa, I, J., & Nivela, C. A. (2020). El B-learning y su aplicación en la enseñanza universitaria del Ecuador. Sinergias Educativas, 5(2), 222–234. https://doi.org/10.37954/se.v5i2.146

Lazim, C. S. L. M., Ismail, N. D. B., & Tazilah, M. D. A. K. (2021). Application of technology acceptance model (TAM) towards online learning during covid-19 pandemic: Accounting students perspective. Int. J. Bus. Econ. Law, 24(1), 13-20. https://www.ijbel.com/wp-content/uploads/2021/02/IJBEL24_507.pdf

Liao, S., Jon-Chao, H., Yi-Chen P., Ming-Hui, W., & Yun-Wu, W. (2018). Applying Technology Acceptance Model (TAM) to explore Users’ Behavioral Intention to Adopt a Performance Assessment System for E-book Production. EURASIA, 14(10). https://doi.org/10.29333/ejmste/93575

López, R. L.J, Jiménez, G. A.L., Costilla, L.D. (2022). The Effects of Blended Learning on the Performance of Engineering Students in Mathematical Modeling. Education Sciences, 12(12):931. https://doi.org/10.3390/educsci12120931

López, B. J., Pozo, S., y Moreno, G. A. J. (2019). Consideraciones sobre el b-learning en el proceso de enseñanza y aprendizaje. Universidad & Ciencia, 8(2), 24–39. https://revistas.unica.cu/index.php/uciencia/article/view/1239

Malatji, W.R., Eck, R.V., & Zuva, T. (2020). Understanding the usage, Modifications, Limitations and Criticisms of Technology Acceptance Model (TAM). Advances in Science, Technology and Engineering Systems Journal, 5, 113-117. https://www.astesj.com/v05/i06/p12/

Marín, V.L.M., Vinuesa, L.M., & Rojas, G. P. (2023). E-Learning Web-Apps Use Acceptance: A Way to Guide Perceived Learning Outcomes in Blended Learning. Sustainability, 15(3), 2136. https://doi.org/10.3390/su15032136

Martín, G. A. V., Redolat, R., & Pinazo-Hernandis, S. (2022). Factors influencing intention to technological use in older adults. The TAM model application. Research on Aging, 44(7-8), 573-588. https://doi.org/10.1177/01640275211063797

Mateo, J. (2004). La investigación expost-facto. En R. Bisquerra (Ed.), Metodología de la investigación educativa (pp.195-230). La Muralla.

Maturrano, L.E. F. (2020). La investigación cualitativa en Ciencias Humanas y Educación. Criterios para elaborar artículos científicos. EDUCARE ET COMUNICARE Revista De investigación De La Facultad De Humanidades, 8(2), 56-66. https://doi.org/10.35383/educare.v8i2.536

Nadlifatin, R., Miraja, B., Persada, S., Belgiawan, P., Redi, A.A.N. & Lin, S.C. (2020). The Measurement of University Students’ Intention to Use Blended Learning System through Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) at Developed and Developing Regions: Lessons Learned from Taiwan and Indonesia. International Journal of Emerging Technologies in Learning (iJET), 15(9), 219-230. Kassel, Germany: International Journal of Emerging Technology in Learning. https://www.learntechlib.org/p/217222/.

Núñez-Barriopedro, E., Monclúz, I. M., & Ravina-Ripoll, R. (2019). El impacto de la utilización de la modalidad B-Learning en la educación superior. Alteridad. Revista de Educación, 14(1), 26-39. https://doi.org/10.17163.alt.v14n1.2019.02

O´Dwyer, L. & Bernauer, J. (2014). Quantitative research for the qualitative researcher. Sage

Rad, D., Egerau, A., Roman, A., Dughi, T., Balas, E., Maier, R., Ignat, S., & Rad, G. (2022). A Preliminary Investigation of the Technology Acceptance Model (TAM) in Early Childhood Education and Care. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1), 518-533. https://doi.org/10.18662/brain/13.1/297

Romero, S. (2018). Entornos flexibles para el aprendizaje: B-Learning. International Technology, Science and Society Review 7(1), 9–15. https://doi.org/10.37467/gka-revtechno.v7.317

Rosli, M. S., Saleh, N. S., Md. Ali, A., Abu Bakar, S., & Mohd Tahir, L. (2022). A Systematic review of the Technology Acceptance Model for the sustainability of higher education during the COVID-19. Pandemic and Identified Research Gaps. Sustainability, 14(18), 11389. http://dx.doi.org/10.3390/su141811389

Sánchez, R. L. M., Moll, L.S., Nuñez, P. A., Moraño, F. J. A, Vega, F. E. (2023). ChatGPT challenges blended learning methodologies in engineering education: A case study in mathematics. Applied Science, 13(10), 6039. https://doi.org/10.3390/app13106039

Suárez, C.A.H., Castro, W.R.A., Suárez, A.A.G., (2022). Impact Of B-Learning supported by the flipped classroom: An experience in higher education. Journal of Language and Linguistic Studies, 18(3), 119-129. https://www.jlls.org/index.php/jlls/article/view/4790

Suárez, E. R., Cavazos, S. R. L., Rojas, M. I., y Arturo-Castillo, J. (2023). Percepciones de los estudiantes sobre la aceptación de dos plataformas digitales durante la pandemia: un análisis utilizando el modelo de aceptación de tecnología. Revista Ciencia UANL, 24(109), 38–41. http://cienciauanl.uanl.mx/?p=11239

Terán, G. F. N. (2019). Aceptación de los estudiantes universitarios en el uso de los sistemas e-learning Moodle desde la perspectiva del modelo TAM. CIENCIA UNEMI, 12(29), 63-76. https://doi.org/10.29076/issn.2528-7737vol12iss29.2019pp63-76p

Venkatesh, V. & 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

Zhang, M., Qin, F., Wang, G. A., & Luo, C. (2020). The impact of live video streaming on online purchase intention. The Service Industries Journal, 40(9-10), 656-681. https://doi.org/10.1080/02642069.2019.1576642

Published

2024-06-30

How to Cite

Trejo, E., & Trejo Trejo, N. . (2024). Students’ Perception and Acceptance of B-Learning in Engineering Mathematics: A TAM-Based Approach. REVISTA EDUSER, 11(1), 63–80. https://doi.org/10.18050/eduser.v11n1a6

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Section

Research Articles