Esta es un versión antigua publicada el 2022-07-28. Consulte la versión más reciente.

LINEAMIENTOS DESDE LA INDUSTRIA 4.0 A LA EDUCACIÓN 4.0: CASO TECNOLOGÍA IoT

Autores/as

  • Nydia Susana Sandoval Carrero
  • Nancy María Acevedo Quintana
  • Luz Marina Santos Jaimes

DOI:

https://doi.org/10.24054/rcta.v1i39.1379

Palabras clave:

Currículo, educación 4.0, industria 4.0, ingeniería, IoT

Resumen

Las tecnologías de Industria 4.0 en el ambiente universitario abre nuevas   posibilidades para aplicaciones y servicios, conduciendo a innovaciones científicas en el proceso de enseñanza- aprendizaje que faciliten la llegada de la Educación 4.0. En este artículo, se estructura una ruta en la dirección de la educación superior consolidar esfuerzos en la formación de ingenieros idóneos para afrontar los retos de la Industria 4.0 consistiendo de: nuevos cursos en los programas de ingeniería, cualificaciones y habilidades entre las que se destacan las competencias blandas, y fábricas de aprendizaje como enlace entre la Academia a proyectos reales de la industria. Adicional, se aborda Internet de las Cosas como una de las tecnologías claves para el alcance de la Educación 4.0, en la que su aplicación lleva al mejoramiento del proceso de enseñanza- aprendizaje, y al monitoreo de salud, y emociones de los estudiantes

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Abbasy, M. B., & Quesada, E. V. (2017). Predictable influence of IoT (Internet of Things) in the higher education. International Journal of Information and Education Technology, 7(12), 914–920.

Abele, E., Chryssolouris, G., Sihn, W., Metternich, J., ElMaraghy, H., Seliger, G., Sivard, G., ElMaraghy, W., Hummel, V., Tisch, M., & others. (2017). Learning factories for future oriented research and education in manufacturing. CIRP Annals, 66(2), 803–826.

Alvear Puertas, V. E. (2017). Sistema electrónico con aplicación IOT para monitoreo facial que brinde estimadores de desconcentración del estudiante universitario en el aula a escala de laboratorio.

Alves, A. C., Sousa, R. M., Fernandes, S., Cardoso, E., Carvalho, M. A., Figueiredo, J., & Pereira, R. M. S. (2016). Teacher’s experiences in PBL: implications for practice. European Journal of Engineering Education, 41(2), 123–141.

Alves, C., & Putnik, G. (2019). Experiential Learning of CAD Systems Interoperability in Social Network-based Education. Procedia CIRP, 84, 209–214.

Bagheri, M., & Movahed, S. H. (2016). The effect of the Internet of Things (IoT) on education business model. 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 435–441.

Bauer, W., Hämmerle, M., Schlund, S., & Vocke, C. (2015). Transforming to a Hyper-connected Society and Economy – Towards an “Industry 4.0.” Procedia Manufacturing. https://doi.org/10.1016/j.promfg.2015.07.200

Benešová, A., & Tupa, J. (2017). Requirements for education and qualification of people in Industry 4.0. Procedia Manufacturing, 11, 2195–2202.

Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: a survey. Future Generation Computer Systems, 56, 684–700.

Cantabella, M., Martínez-España, R., Ayuso, B., Yáñez, J. A., & Muñoz, A. (2019). Analysis of student behavior in learning management systems through a Big Data framework. Future Generation Computer Systems, 90, 262–272.

Catal, C., & Tekinerdogan, B. (2019). Aligning Education for the Life Sciences Domain to Support Digitalization and Industry 4.0. Procedia Computer Science. https://doi.org/10.1016/j.procs.2019.09.032

Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A vision of IoT: Applications, challenges, and opportunities with china perspective. IEEE Internet of Things Journal, 1(4), 349–359.

Ciolacu, M., Svasta, P. M., Berg, W., & Popp, H. (2017). Education 4.0 for tall thin engineer in a data driven society. 2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME), 432–437.

Cocskun, S., Kayikci, Y., & Gençay, E. (2019). Adapting engineering education to industry 4.0 vision. Technologies, 7(1), 10.

Cueva, L. A. M., Cortés, C. A. P., Delgado, M. M., Villamizar, S. B. C., & García, A. P. (2017). Registro de neuroseñales con una Interfaz Cerebro-Computador para estimar el nivel estrés en un estudiante durante una clase. INGE CUC, 13(2), 95–101.

Elbestawi, M., Centea, D., Singh, I., & Wanyama, T. (2018). SEPT learning factory for industry 4.0 education and applied research. Procedia Manufacturing, 23, 249–254.

Ellahi, R. M., Khan, M. U. A., & Shah, A. (2019). Redesigning Curriculum in line with Industry 4.0. Procedia Computer Science, 151, 699–708.

Farhan, M., Jabbar, S., Aslam, M., Hammoudeh, M., Ahmad, M., Khalid, S., Khan, M., & Han, K. (2018). IoT-based students interaction framework using attention-scoring assessment in eLearning. Future Generation Computer Systems, 79, 909–919.

Gélvez-Rodríguez, L. F., & Santos-Jaimes, L. M. (2020). Internet de las Cosas: una revisión sobre los retos de seguridad y sus contramedidas. Revista Ingenio, 17(1), 56–64.

Gligoric, N., Uzelac, A., Krco, S., Kovacevic, I., & Nikodijevic, A. (2015). Smart classroom system for detecting level of interest a lecture creates in a classroom. Journal of Ambient Intelligence and Smart Environments, 7(2), 271–284.

Grodotzki, J., Ortelt, T. R., & Tekkaya, A. E. (2018). Remote and virtual labs for engineering education 4.0: achievements of the ELLI project at the TU Dortmund University. Procedia Manufacturing, 26, 1349–1360.

Harkins, A. M., & others. (2008). Leapfrog principles and practices: Core components of education 3.0 and 4.0. Futures Research Quarterly, 24(1), 19–31.

Heritage, I. (2019). Protecting Industry 4.0: challenges and solutions as IT, OT and IP converge. Network Security, 2019(10), 6–9.

Iglesia Villasol, M. C. de la. (2019). Caja de herramientas 4.0 para el docente en la era de la evaluación por competencias. Innovación Educativa (México, DF), 19(80), 93–112.

Karre, H., Hammer, M., Kleindienst, M., & Ramsauer, C. (2017). Transition towards an Industry 4.0 state of the LeanLab at Graz University of Technology. Procedia Manufacturing, 9, 206–213.

Lanz, M., Pieters, R., & Ghabcheloo, R. (2019). Learning environment for robotics education and industry-academia collaboration. Procedia Manufacturing, 31, 79–84.

Leal, L. F., Fleury, A., & Zancul, E. (2020). Starting up a Learning Factory focused on Industry 4.0. Procedia Manufacturing, 45, 436–441.

Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440.

Lensing, K., & Friedhoff, J. (2018). Designing a curriculum for the Internet-of-Things-Laboratory to foster creativity and a maker mindset within varying target groups. Procedia Manufacturing, 23, 231–236.

Liu, Z., Yang, B., & Lu, T. (2015). Laboratory Instruments Management System Based on IOT. 2015 International Conference on Electromechanical Control Technology and Transportation.

Louw, L., & Deacon, Q. (2020). Teaching Industrie 4.0 technologies in a learning factory through problem-based learning: case study of a semi-automated robotic cell design. Procedia Manufacturing, 45, 265–270.

Lu, Y., Papagiannidis, S., & Alamanos, E. (2018). Internet of Things: A systematic review of the business literature from the user and organisational perspectives. Technological Forecasting and Social Change, 136, 285–297.

Madakam, S., Lake, V., Lake, V., Lake, V., & others. (2015). Internet of Things (IoT): A literature review. Journal of Computer and Communications, 3(05), 164.

Mavrikios, D., Georgoulias, K., & Chryssolouris, G. (2018). The teaching factory paradigm: Developments and outlook. Procedia Manufacturing, 23, 1–6.

Mesquita, M. A. de, Mariz, F. B. de A. R., & Tomotani, J. V. (2017). The Skateboard Factory: a teaching case on discrete-event simulation. Production, 27(SPE).

Moner, A. F. M., & García, A. P. (2018). Design of intelligent expert system with inference by micro and nanoinstrumentation. Paper presented at the Proceedings of the LACCEI International Multi-Conference for Engineering, Education and Technology, , 2018-July doi:10.18687/LACCEI2018.1.1.401

Motyl, B., Baronio, G., Uberti, S., Speranza, D., & Filippi, S. (2017). How will change the future engineers’ skills in the Industry 4.0 framework? A questionnaire survey. Procedia Manufacturing, 11, 1501–1509.

Mourtzis, D., Vasilakopoulos, A., Zervas, E., & Boli, N. (2019). Manufacturing System Design using Simulation in Metal Industry towards Education 4.0. Procedia Manufacturing, 31, 155–161.

Mourtzis, D., Vlachou, E., Dimitrakopoulos, G., & Zogopoulos, V. (2018). Cyber-physical systems and education 4.0--The teaching factory 4.0 concept. Procedia Manufacturing, 23, 129–134.

Promyoo, R., Alai, S., & El-Mounayri, H. (2019). Innovative Digital Manufacturing Curriculum for Industry 4.0. Procedia Manufacturing, 34, 1043–1050.

Rozo-García, F. (2020). Revisión de las tecnologías presentes en la industria 4.0. Revista UIS Ingenierías, 19(2), 177–192.

Scholz, J.-A., Sieckmann, F., & Kohl, H. (2020). Implementation with agile project management approaches: Case Study of an Industrie 4.0 Learning Factory in China. Procedia Manufacturing, 45, 234–239.

Tonguç, G., & Ozkara, B. O. (2020). Automatic recognition of student emotions from facial expressions during a lecture. Computers & Education, 103797.

Uzelac, A., Gligoric, N., & Krco, S. (2015). A comprehensive study of parameters in physical environment that impact students focus during lecture using Internet of Things. Computers in Human Behavior, 53, 427–434.

Zapata-Ros, M. (2018). La universidad inteligente: La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior.

Zhong, C.-L., & others. (2020). Internet of things sensors assisted physical activity recognition and health monitoring of college students. Measurement, 107774.

SITIOS WEB

Gerber, A. (2017a). Choosing the best hardware for your next IoT project. https://developer.ibm.com/technologies/iot/articles/iot-lp101-best- hardware-devices-iot-project/. (Consultado: 10 de octubre 2020)

Gerber, A. (2017b). Connecting all the things in the Internet of Things, IBM Corportion. https://developer.ibm.com/technologies/iot/articles/iot-lp101- connectivity-network-protocols/. (Consultado: 10 de octubre 2020)

Gerber, A. (2018). Streamlining the development of your IoT applications by using an IoT platform, IBM Corportion, https://developer.ibm.com/technologies/iot/articles/iot-lp101-why- use-iot-platform/. (Consultado: 10 de octubre 2020)

GII, Global Innovation Index. (2019). Report. https://www.globalinnovationindex.org/userfiles/file/reportpdf/gii-full-report-2019.pdf. (Consultado: 10 de octubre 2020)

Descargas

Cómo citar

Sandoval Carrero, N. S. ., Acevedo Quintana, N. M. ., & Santos Jaimes, L. M. . (2022). LINEAMIENTOS DESDE LA INDUSTRIA 4.0 A LA EDUCACIÓN 4.0: CASO TECNOLOGÍA IoT. REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA), 1(39), 81–92. https://doi.org/10.24054/rcta.v1i39.1379

Número

Sección

Artículos