Distance Education on Automatics and Electronics through Remote Labs
DOI:
https://doi.org/10.17979/ja-cea.2026.47.13758Keywords:
Virtual and remote labs, Perception and sensing, Internet of things, Sensor networks, Remote servicingAbstract
Distance learning imposes specific challenges to provide quality education. Technology is a great opportunity for educational improvement. In this work we analyze some challenges and we have shown that with the proper use of technology it is possible to overcome them. We introduce here a set of remote laboratories currently being used for control engineering education in our university, which contribute to teach several control engineering topics like perception systems and the use of sensors and actuators, cybersecurity and penetration testing of IoT smart sensors and similar devices that can be found in industry, computer system architecture and low-level programming of microprocessors to implement fast control algorithms. The value of this work lies not only in the utility of remote labs as learning tools but also in their implementation following IEEE standards and integrating modern devices and communication protocols with industrial application.
References
Dobslaw, F., Angelin, K. Öberg, L., Ahmad, A., 2023. The Gap between Higher Education and the Software Industry - A Case Study on Technology Differences. ACM International Conference Proceeding Series, 11-21, DOI: 10.1145/3593663.3593690
IEEE, 2019. IEEE Standard for Networked Smart Learning Objects for Online Laboratories. IEEE Std 1876-2019, 1-57, DOI: 10.1109/IEEESTD.2019.8723446
Lockett, H., Bromley, K., Richardson, C., McNicholl, D., Smith, J., 2026. An investigation into the breadth of learning objectives developed in STEM online laboratories. Journal of Computing in Higher Education. Advanced Online Publication. DOI: 10.1007/S12528-026-09489-1
Nan, Y., 2011. Research on evaluation of higher education investment efficiency. 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). 2043-2046 DOI: 10.1109/AIMSEC.2011.6010724
Pena-Molina, A., Larrondo-Petrie, M., Zapata-Rivera, L., 2022, The Need for E-Learning Standards for Online Laboratory Management Systems, 2022 Learning with MOOCS (LWMOOCS), 240-245, DOI: 10.1109/LWMOOCS53067.2022.9927880.
Rossiter, J., 2023. Developing a Novel MATLAB Control Toolbox for Encouraging Student Engagement. Proceedings of the 2023 6th Experiment at International Conference (exp.at 2023), 187-192. DOI: 10.1109/EXP.AT2358782.2023.10546103
Warren, S., Churchill C., 2022. Strategic, operations, and evaluation planning for higher education distance education. Distance Education 2, 239–270. DOI: 10.1080/01587919.2022.2064821
Wu, T., 2022. Using Arduino Kits and Discord to Implement A Fully Remote Laboratory Course During the COVID-19 Pandemic. Proceedings of the 2022 ASEE Annual Conference & Exposition, 16387–16398. DOI: 10.18260/1-2–40440
Zeman, T., Hrad, J., Holecek, J., 2025. The Impact of Different Types of Educational Materials on the Educational Process Efficiency: Case Study. Proceedings of 2025 34th Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE 2025, 244–249. DOI: 10.1109/EAEEIE65428.2025.11136606
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Luis Díaz Saco, Elio San Cristóbal Ruiz, Clara María Pérez Molina, Sergio Martín Gutiérrez, Carlos Rejón Gómez, Antonio Robles Gómez

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.