Abstract
Laboratory experimentation plays a crucial role in scientific education and engineering in higher education. The traditional hands-on labs are the natural scenarios where practical skills can be improved, but, thanks to Information and Communication Technologies (ICT), virtual and remote labs can provide a framework where Science, Technology, Engineering and Mathematics (STEM) disciplines can also be developed. This paper deals particularly with remote access to a real laboratory equipment using contemporary computer and network technology for creating the environment that will enable a remote user to perform the required practical experiments in physics. The main goal of this paper is to build an interactive system to control practical experiments in physics by the students enrolled in the first year of undergraduate program of Physics and Chemistry at the University.
The experiment adopted for this work is the simple pendulum manipulation.
In this work, we have focused on the design and creation of a prototype to make the equipment of the practical experiments of laboratories accessible to students via the Internet network. In order to eliminate time and space constraints through affording flexibility, protect students while conducting dangerous experiments and reduce the cost and the maintenance of laboratory equipment, which is expensive.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Limpraptono, F.Y., Ratna, A.A.P., Sudibyo, H.: New Architecture of Remote Laboratories Multiuser based on Embedded Web Server (2012). https://doi.org/10.1109/rev.2012.6293113
Murugesan, S.: Harnessing green IT: principles and practices. IT Prof. 10(1), 24–33 (2008). https://doi.org/10.1109/MITP.2008.10
Yang, L., Jiang, L., Yue, K., Pang, H.: Design and implementation of the lab remote monitoring system based on embedded web technology. In: 2010 International Forum on Information Technology and Applications (IFITA), vol. 2, pp. 172–175 (2010)
Garcia-Zubia, J., Lopez-de-Ipiña, D., Orduña, P.: Evolving towards better architectures for remote laboratories: a practical case. Int. J. Online Eng. (iJOE) 1(2), 1 (2005)
Khazri, Y., Rouane, M., Fahli, A., Moussetad, M., Khaldouni, A., Naddami, A.: Developing a Remote Practice for Laboratory Experiments on Measuring Instruments (2015)
Khazri, Y., Al Sabri, A., Sabir, B., Toumi, H., Moussetad, M., Fahli, A.: Development and Management of a Remote Laboratory in Physics for Engineering Education (E-LAB FSBM), pp. 1–6 (2017). https://doi.org/10.1145/3090354.3090460
Rojko, A., Hercog, D., Jezernik, K.: E-training in mechatronics using innovative remote laboratory. Math. Comput. Simul. 82, 508–516 (2011)
Barros, C., Leão, C.P., Soares, F., Minas, G., Machado, J.: RePhyS: a multidisciplinary experience in remote physiological systems laboratory iJOE. In: EDUCON2013, vol. 9, 5, June 2013
Fabregas, E., Farias, G., Dormido-Canto, S., Dormido, S., Esquembre, F.: Developing a remote laboratory for engineering education. Comput. Educ. 57, 1686–1697 (2011)
Markan, C.M., Gupta, S., Mittal, S., Kumar, G.: Remote laboratories – a cloud based model for teleoperation of real laboratories. iJOE 9(2), 36–43 (2013)
Sabir, B., Khazri, Y., Moussetad, M., Touri, B.: Hardware and software co-design of Arabic alphabets recognition platform for blind and visually impaired persons. Open Electr. Electron. Eng. J. 11, 193–200 (2017). https://doi.org/10.2174/1874129001711010193
Al Sabri, A., Moussetad, M., Youness, A., Khazri, Y., Ahmed, F., Saeed, Al.: Create and develop remote labs for practical experiments, pp. 1–6 (2017). https://doi.org/10.1109/icca-ticet.2017.8095306
National Instruments, “Distance-Learning Remote Laboratories using LabVIEW”
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Laouina, Z. et al. (2021). Manufacturing and Developing Remote Labs in Physics for Practical Experiments in the University. In: Auer, M., May, D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-52575-0_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-52575-0_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52574-3
Online ISBN: 978-3-030-52575-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)