Keywords
How to Cite
Abstract
Current education has undergone various modifications, especially with the appearance of COVID-19 in the world. Among the technological tools that support the didactic activity is simulation software; These allow to carry out virtual laboratory practices that complement the learning and allow demonstrating theoretical principles. In this article, a documentary analysis was carried out on the use of software in digital electronics, a common agenda of digital electronic matter of the degrees offered by the Tecnológico Nacional de México was elaborated. Finally, an analysis of the use of the software determined towards the subject in question was carried out and a relationship was established that indicates the level of adequacy. Learning styles were identified in the group of surveyed students, and their relationship with the level of satisfaction and achievement of the software.
References
Abdel-Maksoud, N. F. (2018). When virtual becomes better than real: Investigating the impact of a networking simulation on learning and motivation. International Journal of Education and Practice, 6(4), 253–270. https://doi.org/10.18488/journal.61.2018.64.253.270
Abeldina, Z., Makysh, G., Moldumarov, Z., Abeldina, R., & Moldumarova, Z. (2018). Virtual environment as a tool for increasing students’ natural science literacy. International Journal of Engineering and Technology(UAE), 7(4), 1–6. https://doi.org/10.14419/ijet.v7i4.38.24309
Alajbeg, T., & Sokele, M. (2019). Implementation of Electronic Design Automation software tool in the learning process. 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019 - Proceedings, 532–536. https://doi.org/10.23919/MIPRO.2019.8757096
Asparuhova, K., Shehova, D., & Lyubomirov, S. (2018, November 27). Using Proteus to Support Engineering Student Learning: Microcontroller-Driven Sensors Case Study. 2018 IEEE 27th International Scientific Conference Electronics, ET 2018 - Proceedings. https://doi.org/10.1109/ET.2018.8549587
Basri, W. S., & Siam, M. R. A. (2018). Information Communication Technology (ICT) in educational institutions and strategic initiatives. International Journal of Engineering and Technology(UAE), 7(4), 462–464. https://doi.org/10.14419/ijet.v7i4.28.22631
Bermúdez, M., Puertas, J., & Cea, L. (2020). Introducing Excel spreadsheet calculations and numerical simulations with professional software into an undergraduate hydraulic engineering course. Computer Applications in Engineering Education, 28(1), 193–206. https://doi.org/10.1002/cae.22185
Bojovi?, Ž., Bojovi?, P. D., Vujoševi?, D., & Šuh, J. (2020). Education in times of crisis: Rapid transition to distance learning. Computer Applications in Engineering Education. https://doi.org/10.1002/cae.22318
Brunkan, M. C., & Mercado, E. M. (2019). A Comparison of Laboratory and Virtual Laryngeal Dissection Experiences on Preservice Music Educators’ Knowledge and Perceptions. Journal of Voice, 33(6), 872–879. https://doi.org/10.1016/j.jvoice.2018.06.012
Campos, N., Nogal, M., Caliz, C., & Juan, A. A. (2020). Simulation-based education involving online and on-campus models in different European universities. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-0181-y
Dak, R., Khoje, S., & Pardeshi, P. J. (2018). A review on cost-efficient virtual laboratory: A teaching aid. Proceedings of the International Conference on Computing Methodologies and Communication, ICCMC 2017, 663–667. https://doi.org/10.1109/ICCMC.2017.8282549
Del Cid Pérez, A., Méndez, R., & Sandoval Recinos, F. (2007). Investigación. Fundamentos y metodología. PEARSON EDUCACIÓN.
Estany, P., Calvet, L., Juan, A. A., & Fonseca I Casas, P. (2017). Using simulation to estimate evacuation times in large-size aircrafts: A case study with simio. Proceedings - Winter Simulation Conference, 3335–3345. https://doi.org/10.1109/WSC.2017.8248050
Farid, S., Ahmad, R., Alam, M., Akbar, A., & Chang, V. (2018). A sustainable quality assessment model for the information delivery in E-learning systems. Information Discovery and Delivery, 46(1), 1–25. https://doi.org/10.1108/IDD-11-2016-0047
Hernández, R., Fernández, C., & Baptista, P. (2014). Metodología de la Investigación (6a ed.). McGraw-Hill.
José, F., Casado-Lumbreras, C., Colomo-Palacios, R., & Yadav, A. (2020). Smart learning. In Applied Sciences (Switzerland) (Vol. 10, Issue 19, pp. 1–7). MDPI AG. https://doi.org/10.3390/app10196964
Kalu, A. (2018). Z-matrix for calculating mesh currents. Journal of Engineering Technology, 35(1), 40–45.
Karabaevna, Z., Musurmanova, A., & Xamroevich, R. (2019). Improving the competence of future vocational education teachers based on modular-rating education. International Journal of Engineering and Advanced Technology, 9(1), 6903–6906. https://doi.org/10.35940/ijeat.A2997.109119
Karvinen, K., & Karvinen, T. (2018). IoT rapid prototyping laboratory setup. International Journal of Engineering Education, 34(1), 263–272.
Kavianpour, A. (2019, June 15). Simulation software for online teaching of ECE courses. ASEE Annual Conference and Exposition, Conference Proceedings. https://doi.org/10.18260/1-2--33267
Kholis, N., Syariffuddien Zuhrie, M., & Rahmadian, R. (2018). Innovation Online Teaching Module Plus Digital Engineering Kit with Proteus Software through Hybrid Learning Method to Improve Student Skills. IOP Conference Series: Materials Science and Engineering, 336(1). https://doi.org/10.1088/1757-899X/336/1/012036
Laeeq, K., & Memon, Z. A. (2018). An integrated model to enhance Virtual Learning Environments with current social networking perspective. International Journal of Emerging Technologies in Learning, 13(9), 252–268. https://doi.org/10.3991/ijet.v13i09.8000
Lilyanova, I. (2019, June 1). Innovation in the teaching methodology of electronics. 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. https://doi.org/10.1109/ELMA.2019.8771678
López Ríos, O., Lechuga López, L. J., & Lechuga López, G. (2020). A comprehensive statistical assessment framework to measure the impact of immersive environments on skills of higher education students: a case study. International Journal on Interactive Design and Manufacturing, 14(4), 1395–1410. https://doi.org/10.1007/s12008-020-00698-1
López Vázquez, R., Tobón, S. T., Guadalupe, M., Bucheli, V., & Gibran Juárez Hernández, L. (2020). La mediación didáctica socioformativa en el aula para favorecer la inclusión educativa The socioformative didactic mediation in the classroom to favors educational inclusion. Revista Fuentes, 23, 2. https://doi.org/10.12795/revistafuentes.2021.v23.i2.02
Luna-Nemecio, J. (2020). Determinaciones socioambientales del COVID-19 y vulnerabilidad económica, espacial y sanitario-institucional. Revista de Ciencias Sociales, 26(2), 21–26. https://doi.org/10.31876/rcs.v26i2.32419
Luna-Nemecio, J. & Tobón, S. (2021). Urbanización sustentable y resiliente ante el Covid-19: nuevos horizontes para la investigación de las ciudades. Universidad y Sociedad, 13(1), 110-118. https://rus.ucf.edu.cu/index.php/rus/article/view/1906
Marianoga, K., & Palczynska, B. (2018). The Simulation Laboratory Platform Based on Multisim for Electronic Engineering Education. 2018 International Conference on Signals and Electronic Systems, ICSES 2018 - Proceedings, 269–274. https://doi.org/10.1109/ICSES.2018.8507313
Melo-Solarte, D. S., Díaz, P. A., Vega, O. A., & Serna, C. A. (2018). Digital situation for higher education institutions: Model and tool. Informacion Tecnologica, 29(6), 163–174. https://doi.org/10.4067/S0718-07642018000600163
Molina-Carmona, R., & Villagrá-Arnedo, C. (2018). Smart learning. ACM International Conference Proceeding Series, 645–647. https://doi.org/10.1145/3284179.3284288
Nassr, R. M., Aborujilah, A., Aldossary, D. A., & Aldossary, A. A. A. (2020). Understanding Education Difficulty During COVID-19 Lockdown: Reports on Malaysian University Students’ Experience. IEEE Access, 8, 186939–186950. https://doi.org/10.1109/access.2020.3029967
Ndahi, H. B., Charturvedi, S., Akan, A. O., & Pickering, J. W. (2007). Engineering education: web-based interactive learning resources. The Technology Teacher, 67(3).
Okoyeigbo, O., Agboje, E., Omuabor, E., Samson, U. A., & Orimogunje, A. (2020). Design and implementation of a Java based virtual laboratory for data communication simulation. International Journal of Electrical and Computer Engineering, 10(6), 5883–5890. https://doi.org/10.11591/ijece.v10i6.pp5883-5890
Rodríguez-Alabanda, O., Guerrero-Vaca, G., Romero, P. E., & Sevilla, L. (2019). Educational software tool based on the analytical methodology for design and technological analysis of multi-step drawing processes. Computer Applications in Engineering Education, 27(1), 38–48. https://doi.org/10.1002/cae.22055
Romero-Rodriguez, J. M., Aznar-Diaz, I., Hinojo-Lucena, F. J., & Gomez-Garcia, G. (2020). Mobile Learning in Higher Education: Structural Equation Model for Good Teaching Practices. IEEE Access, 8, 91761–91769. https://doi.org/10.1109/ACCESS.2020.2994967
Saleheen, F., Wang, Z., Picone, J., Butz, B. P., & Won, C. H. (2018). Efficacy of a virtual teaching assistant in an open laboratory environment for electric circuits. Advances in Engineering Education, 6(3), 1–27.
Sharma, B., & Mantri, A. (2019). Augmented reality underpinned instructional design (ARUIDS) for cogno-orchestrative load. Journal of Computational and Theoretical Nanoscience, 16(10), 4379–4388. https://doi.org/10.1166/jctn.2019.8529
Soomro, S., Soomro, A. B., Bhatti, T., & Ali, N. I. (2018). Implementation of blended learning in teaching at the Higher Education Institutions of Pakistan. International Journal of Advanced Computer Science and Applications, 9(8), 259–264. https://doi.org/10.14569/ijacsa.2018.090833
Srikanth, M., Kumar, S., Gireesh, N., Manideep, T. V. N., Harichandana, B., & Sangeetha, K. (2019, March 1). A Different way of Level measurement for PBL in Education of Students using NI-LabVIEW, Multisim and MyRIO. 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019. https://doi.org/10.1109/i-PACT44901.2019.8960023
Tecnológico Nacional de México. (2016). Programa instrumentacional de la materia AEC-1022 Electrónica Digital. Ingeniería Eléctrica e Ingeniería Electrónica.
Tecnológico Nacional de México. (2016). Programa instrumentacional de la materia MTF-1013 Electrónica Digital. Ingeniería Mecatrónica.
Tecnológico Nacional de México. (2016). Programa instrumentacional de la materia SAF-1314 Electrónica Digital. Ingeniería en Sistemas Automotrices
Tecnológico Nacional de México. (2016). Programa instrumentacional de la materia ETF-1014 Diseño Digital. Ingeniería Electrónica
Tortoreli, M. D., Chatzarakis, G. E., Voudoukis, N. F., Pagiatakis, G. K., & Papadakis, A. E. (2017). Teaching fundamentals of photovoltaic array performance with simulation tools. International Journal of Electrical Engineering Education, 54(1), 82–94. https://doi.org/10.1177/0020720916669157
Villegas-Ch, W., Roman-Cañizares, M., Jaramillo-Alcázar, A., & Palacios-Pacheco, X. (2020). Data analysis as a tool for the application of adaptive learning in a university environment. Applied Sciences (Switzerland), 10(20), 1–19. https://doi.org/10.3390/app10207016
Wang, T., Wang, B., & Liang, Y. (2020). Multi-agent graphical games with input constraints: an online learning solution. Control Theory and Technology, 18(2), 148–159. https://doi.org/10.1007/s11768-020-0013-6
Wu, J. (2018). A space design teaching model using virtual simulation technology. International Journal of Emerging Technologies in Learning, 13(6), 163–175. https://doi.org/10.3991/ijet.v13i06.8585
Zheng, W., Shi, J., Qiao, J., Xu, T., Feng, L., & Fu, P. (2018). Virtual laboratory application development for mobile terminal. International Journal of Online Engineering, 14(2), 76–89. https://doi.org/10.3991/ijoe.v14i02.7779
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2021 René Pérez