Published

2023-08-04

Adapting to Remote Learning during COVID-19: An Engineering Education Approach

Adaptación para el aprendizaje a distancia durante el COVID-19: un enfoque de educación en ingeniería

DOI:

https://doi.org/10.15446/ing.investig.101349

Keywords:

SARS-CoV-2, Engineering education, Latin America, learning during the pandemic (en)
SARS-CoV-2, Educación en ingeniería, América Latina, aprendizaje en pandemia (es)

Downloads

Authors

With a focus on the problems faced by the education sector, this article shows the main technological tools used by teachers for remote teaching in an engineering education program during the first year of the COVID-19 pandemic. Through a case study in a Latin American university positioned in the QS World University Ranking, the tools most frequently used for communication, storing information, messaging, and sharing learning videos are described. This study examines engineering’s areas of knowledge, considering that learning them poses a challenge for teaching in virtual environments due to the need to carry out laboratory practices. Using statistical methods, the relationships between the areas of the education program, the teachers’ sociodemographic variables, and the technological tools used to offer online classes during the lockdown are described. The results show that, from the perspective of the teacher and for the field of engineering, the tools with the most significant effect, in sometimes essential for teaching during the pandemic, were those related to the Google platforms, which were used in 75% of the cases for video communication and storage. Meanwhile, with 44 and 56% WhatsApp and Moodle, were the most used for messaging and sharing contents and learning materials.

Con énfasis en las problemáticas que enfrentó el sector educativo, en este artículo se muestran las principales herramientas tecnológicas utilizadas por los docentes para la enseñanza remota en un programa educativo de ingeniería durante el primer año de la pandemia del COVID-19. A través de un caso de estudio en una universidad latinoamericana posicionada en el QS World University Ranking, se describen las herramientas que se utilizaron con mayor frecuencia para la comunicación, el almacenamiento de información, la mensajería y el envío de materiales de aprendizaje y videos. Este estudio examina las áreas de conocimiento de la ingeniería, considerando que el aprendizaje de estas representa un reto para la enseñanza en entornos virtuales debido a la necesidad de realizar prácticas de laboratorio. Utilizando métodos estadísticos, se describen las relaciones entre las áreas del programa educativo, las variables sociodemográficas del docente y las herramientas tecnológicas utilizadas para dar clases en línea durante el confinamiento. Los resultados muestran que, desde la perspectiva del docente y para el campo de la ingeniería, las herramientas con el efecto más significativo y que incluso resultan esenciales para la enseñanza en pandemia fueron aquellas relacionadas con las plataformas de Google, siendo utilizadas en un 75 % de los casos para la comunicación y el almacenamiento. Entretanto, con 44 y 56 %, WhatsApp y Moodle fueron las de mayor uso para enviar mensajes y compartir contenido y materiales de aprendizaje.

References

Asgari, S., Trajkovic, J., Rahmani, M., Zhang, W., Lo, R. C., and Sciortino, A. (2021). An observational study of engineering online education during the COVID-19 pandemic. PLOS ONE, 16(4), e0250041. https://doi.org/10.1371/journal.pone.0250041

Bozkurt, A., and Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic. Asian Journal of Distance Education, 15(1), i-vi. https://doi.org/10.5281/zenodo.3778083

CEPAL-UNESCO (2020). Informe COVID-19 CEPAL-UNESCO. https://repositorio.cepal.org/bitstream/handle/11362/45904/1/S2000510_es.pdf

Cojocariu, V.-M., Lazar, I., Nedeff, V., and Lazar, G. (2014). SWOT anlysis of e-learning educational services from the per-spective of their beneficiaries. Procedia – Social and Behavioral Sciences, 116, 1999-2003. https://doi.org/10.1016/j.sbspro.2014.01.510

Culzoni, C., Panigatti, C., and Bergesse, C. B. (2021). El proceso de enseñanza y aprendizaje en asignaturas de matemática para ingeniería durante el aislamiento por Covid 19. Revista Iberoamericana de Tecnología En Educación y Educación En Tecnología, 28, e9. https://doi.org/10.24215/18509959.28.e9

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5-22. https://doi.org/10.1177/0047239520934018

Eisenhardt, K. M. (1989). Building theories from case study re-search. The Academy of Management Review, 14(4), 532. https://doi.org/10.2307/258557

Evstatiev, B. I., and Hristova, T. V. (2020). Adaptation of electrical engineering education to the COVID-19 situation: Method and results [Conference presentation]. 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME), Pitesti, Romania. https://doi.org/10.1109/SIITME50350.2020.9292142

Fardoun, H., González, C., Collazos, C. A., and Yousef, M. (2020). Estudio exploratorio en Iberoamérica sobre procesos de enseñanza-aprendizaje y propuesta de evaluación en tiempos de pandemia. Education in the Knowledge Society (EKS), 21, 9. https://doi.org/10.14201/eks.23537

Ferreira, J., Behrens, M., Torres, P., and Marriott, R. (2018). The necessary knowledge for online education: Teaching and learning to produce knowledge. EURASIA Journal of Mathematics, Science and Technology Education, 14(6), 86463. https://doi.org/10.29333/ejmste/86463

García Martín, J., and García Martín, S. (2021). Uso de herramientas digitales para la docencia en España durante la pandemia COVID-19. Revista Española de Educación Comparada, 38, 151. https://doi.org/10.5944/reec.38.2021.27816

García-Alberti, M., Suárez, F., Chiyón, I., and Mosquera Feijoo, J. C. (2021). Challenges and experiences of online evaluation in courses of civil engineering during the lockdown learning due to the COVID-19 Pandemic. Education Sciences, 11(2), 59. https://doi.org/10.3390/educsci11020059

González-Hernández, I. J., and Granillo-Macías, R. (2020). Competencies del ingeniero industrial en la Industria 4.0. Revista Electrónica de Investigación Educativa, 22, 1-14. https://doi.org/10.24320/redie.2020.22.e30.2750

Hassan, M. M., Mirza, T., and Hussain, M. W. (2020). A critical review by teachers on the online teaching-learning during the COVID-19. International Journal of Education and Management Engineering, 10(6), 17-27. https://doi.org/10.5815/ijeme.2020.05.03

Iglesias-Pradas, S., Hernández-García, Á., Chaparro-Peláez, J., and Prieto, J. L. (2021). Emergency remote teaching and students’ academic performance in higher education during the COVID-19 pandemic: A case study. Computers in Human Behavior, 119, 106713. https://doi.org/10.1016/j.chb.2021.106713

Kanetaki, Z., Stergiou, C., Bekas, G., Jacques, S., Troussas, C., Sgouropoulou, C., and Ouahabi, A. (2022a). Acquiring, analyzing and interpreting knowledge data for sustainable engineering education: An experimental study using YouTube. Electronics, 11(14), 2210. https://doi.org/10.3390/electronics11142210

Kanetaki, Z., Stergiou, C., Bekas, G., Troussas, C., and Sgouropoulou, C. (2022b). A hybrid machine learning model for grade prediction in online engineering education. International Journal of Engineering Pedagogy (IJEP), 12(3), 4-24. https://doi.org/10.3991/ijep.v12i3.23873

Kanetaki, Z., Stergiou, C., Troussas, C., and Sgouropoulou, C. (2023). Developing novel learning spaces through social media channels for sustainable CAD engineering education. In A. Krouska, C. Troussas, and J. Caro (Eds.), Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022) (pp. 359-371). Springer. https://doi.org/10.1007/978-3-031-17601-2_35

Kavitha, M., Jayasankar, T., Maheswara Venkatesh, P., Mani, G., Bharatiraja, C., and Twala, B. (2021). COVID-19 disease diagnosis using smart deep learning techniques. Journal of Applied Science and Engineering, 24(3), 271-277. https://doi.org/10.6180/jase.202106_24(3).0001

Martínez, P. J., Aguilar F. J., Ortiz, M. (2019). Transitioning from face-to-face to blended and full online learning engineering master’s program. IEEE Transactions on Education 63, 2-9. https://doi.org/10.1109/TE.2019.2925320

Mohd Zulkefli, N. A. (2020). Evaluating e-Learning Google Class-room tools for computer science subjects during COVID-19 Pandemic. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 6251-6258. https://doi.org/10.30534/ijatcse/2020/304942020

Mohmmed, A. O., Khidhir, B. A., Nazeer, A., and Vijayan, V. J. (2020). Emergency remote teaching during coronavirus pandemic: The current trend and future directive at Middle East College Oman. Innovative Infrastructure Solutions, 5(3), 72. https://doi.org/10.1007/s41062-020-00326-7

Mok, K. H., Xiong, W., Ke, G., and Cheung, J. O. W. (2021). Impact of COVID-19 pandemic on international higher education and student mobility: Student perspectives from main-land China and Hong Kong. International Journal of Educational Research, 105, 101718. https://doi.org/10.1016/j.ijer.2020.101718

Ożadowicz, A. (2020). Modified blended learning in engineering higher education during the COVID-19 lockdown – Building automation courses case study. Education Sciences, 10(10), 292. https://doi.org/10.3390/educsci10100292

Portela, F. (2020). TechTeach – An innovative method to in-crease the students engagement at classrooms. Information, 11(10), 483. http://dx.doi.org/10.3390/info11100483

Quacquarelli Symonds (2021). QS Top Universities. http://www.topuniversities.com/

Ramya, D., and Poongodi, O. T. (2021). A study on the usage of Information Communication Technology tools in the teaching-learning process of engineering education. Journal of Applied Science and Engineering, 25(2), 321-326. https://doi.org/10.6180/jase.202204_25(2).0017

Ripoll, V., Godino-Ojer, M., and Calzada, J. (2021). Teaching chemical engineering to biotechnology students in the time of covid-19: assessment of the adaptation to digitalization. Education for Chemical Engineers, 34, 21-32. https://doi.org/10.1016/j.ece.2020.11.001

Sahoo, K. K., Muduli, K. K., Luhach, A. K., and Poonia, R. C. (2021). Pandemic COVID-19: An empirical analysis of impact on Indian higher education system. Journal of Statistics and Management Systems, 24(2), 341-355. https://doi.org/10.1080/09720510.2021.1875571

Stake, R. E. (1999). Investigación con estudio de casos. Ediciones Morata.

Suryaman, H., Kusnan, and Mubarok, H. (2020). Profile of online learning in building engineering education study program during the COVID-19 pandemic. International Journal of Recent Educational Research, 1(2), 63-77. https://doi.org/10.46245/ijorer.v1i2.42

Syauqi, K., Munadi, S., and Triyono, M. B. (2020). Students’ perceptions toward vocational education on online learning during the COVID-19 pandemic. International Journal of Evaluation and Research in Education, 9(4), 881. https://doi.org/10.11591/ijere.v9i4.20766

UNESCO (2020). COVID-19 education response. https://en.unesco.org/covid19/educationresponse/globalcoalition

Yin, R. (2003). Case study research: Design and methods (3rd ed.). Sage.

How to Cite

APA

Granillo-Macias, R. (2023). Adapting to Remote Learning during COVID-19: An Engineering Education Approach. Ingeniería e Investigación, 43(3), e101349. https://doi.org/10.15446/ing.investig.101349

ACM

[1]
Granillo-Macias, R. 2023. Adapting to Remote Learning during COVID-19: An Engineering Education Approach. Ingeniería e Investigación. 43, 3 (Jul. 2023), e101349. DOI:https://doi.org/10.15446/ing.investig.101349.

ACS

(1)
Granillo-Macias, R. Adapting to Remote Learning during COVID-19: An Engineering Education Approach. Ing. Inv. 2023, 43, e101349.

ABNT

GRANILLO-MACIAS, R. Adapting to Remote Learning during COVID-19: An Engineering Education Approach. Ingeniería e Investigación, [S. l.], v. 43, n. 3, p. e101349, 2023. DOI: 10.15446/ing.investig.101349. Disponível em: https://revistas.unal.edu.co/index.php/ingeinv/article/view/101349. Acesso em: 13 mar. 2026.

Chicago

Granillo-Macias, Rafael. 2023. “Adapting to Remote Learning during COVID-19: An Engineering Education Approach”. Ingeniería E Investigación 43 (3):e101349. https://doi.org/10.15446/ing.investig.101349.

Harvard

Granillo-Macias, R. (2023) “Adapting to Remote Learning during COVID-19: An Engineering Education Approach”, Ingeniería e Investigación, 43(3), p. e101349. doi: 10.15446/ing.investig.101349.

IEEE

[1]
R. Granillo-Macias, “Adapting to Remote Learning during COVID-19: An Engineering Education Approach”, Ing. Inv., vol. 43, no. 3, p. e101349, Jul. 2023.

MLA

Granillo-Macias, R. “Adapting to Remote Learning during COVID-19: An Engineering Education Approach”. Ingeniería e Investigación, vol. 43, no. 3, July 2023, p. e101349, doi:10.15446/ing.investig.101349.

Turabian

Granillo-Macias, Rafael. “Adapting to Remote Learning during COVID-19: An Engineering Education Approach”. Ingeniería e Investigación 43, no. 3 (July 4, 2023): e101349. Accessed March 13, 2026. https://revistas.unal.edu.co/index.php/ingeinv/article/view/101349.

Vancouver

1.
Granillo-Macias R. Adapting to Remote Learning during COVID-19: An Engineering Education Approach. Ing. Inv. [Internet]. 2023 Jul. 4 [cited 2026 Mar. 13];43(3):e101349. Available from: https://revistas.unal.edu.co/index.php/ingeinv/article/view/101349

Download Citation

CrossRef Cited-by

CrossRef citations2

1. Richard Jorge Torrez Juaniquina, Piter Henry Escobar Callejas, Edgar Olivares Alvares, Pablo José Guerrero, Ramiro José Iglesias Pérez. (2025). Virtual higher education in Bolivia: Towards a comprehensive organizational, technological, and pedagogical model.. Seminars in Medical Writing and Education, 3, p.473. https://doi.org/10.56294/mw2024473.

2. Yulissa Maruschka Navarro-Castillo, Javier Rubén Antonio-Vargas. (2025). Uso de cámaras web en evaluaciones sumativas en la educación superior: contexto virtual. Revista Iberoamericana de Educación, 97(2), p.83. https://doi.org/10.35362/rie9726360.

Dimensions

PlumX

Article abstract page views

854

Downloads

Download data is not yet available.