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E-learning systems for teaching industrial automatism

  • Autores: Ala Balti, Mohamed Najeh Lakhoua, Imen Mhidhi, Cyrine Noomene
  • Localización: Independent Journal of Management & Production, ISSN-e 2236-269X, Vol. 13, Nº. 1, 2022 (Ejemplar dedicado a: Independent Journal of Management & Production), págs. 142-153
  • Idioma: inglés
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  • Resumen
    • The examples of e-learning systems have been successfully tested in a number of international engineering college and innovative industry and make it possible to improve  performance of production by raising the professional level of the students and staff. E-learning can directly tie education to the formation of tutorial for teaching industrial automatism, the purpose of this study is to discuss strategies for developing integrated e-learning courseware based on instructional design and technology models. The essential of this methodological approach is to specify the composition of the various teaching modules in industrial automatism to be accessible to the students with a system modeling method and to develop a digital support that can be exploited in distance learning. E-learning systems aims at a two-way knowledge, communication between academia and industry. E-learning systems provides a real-life environment for engineers to develop their skills and comprehend the challenges involved in everyday industrial practice. This paper describes the challenges for using automates in the industry, It presents the fully application of system analysis for the design of a tutorial for teaching industrial automatism.


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