A Fully Open Source Remote Laboratory for Practical Learning

Autor: Camille Lavayssière, Franck Luthon, Martin Schröder, Benoit Larroque, Bastien Letowski
Přispěvatelé: Laboratoire des Sciences de l'Ingénieur Appliquées à la Mécanique et au génie Electrique (SIAME), Université de Pau et des Pays de l'Adour (UPPA), Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour (LIUPPA), Technische Universität Berlin (TU)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Computer Networks and Communications
Computer science
industrial engineering
020209 energy
Interoperability
Raspberry Pi
lcsh:TK7800-8360
02 engineering and technology
computer.software_genre
Supervisory control
SCADA
0202 electrical engineering
electronic engineering
information engineering

Electrical and Electronic Engineering
virtual instrument
Remote laboratory
e-learning
computer.programming_language
Multimedia
020208 electrical & electronic engineering
lcsh:Electronics
Educational technology
Python (programming language)
student motivation
[INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering
distance laboratory
lab work
online education
Hardware and Architecture
Control and Systems Engineering
Engineering education
Signal Processing
network
[INFO.EIAH]Computer Science [cs]/Technology for Human Learning
Applied science
Web service
computer
ddc:600
Zdroj: Electronics
Electronics, Penton Publishing Inc., 2020, 9 (11), pp.1832. ⟨10.3390/electronics9111832⟩
Electronics, Vol 9, Iss 1832, p 1832 (2020)
Volume 9
Issue 11
ISSN: 0883-4989
DOI: 10.3390/electronics9111832⟩
Popis: International audience; Nowadays, communication and web services are part of our lives, including education, and e-learning applications are used more and more. However, teaching in engineering sciences requires an important amount of practical experiments. Hence, remote laboratories are an attractive solution, offering new tools for both teachers and learners. Our objective is to propose a fully open source remote laboratory for generic practice, in all fields of engineering education or applied sciences. This work is based on an open source Supervisory Control and a Data Acquisition platform programmed with Python. Interoperability is one of the main issues considered here to ensure a wide compatibility with multi-communication protocols and multi-instruments used in practical labwork
Databáze: OpenAIRE