ADAPTATION OF REMOTE PRACTICAL WORKS WITH SMART ELECTRONIC PLATFORM BASED ON ARTIFICIAL INTELLIGENCE
- 1Laboratory of Physics High Energy and Astrophysics, Faculty of Science Semlalia, Cadi Ayyad University, Marrackech, Morocco
- 2Laboratory of Materials Energy and Environment, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
Keywords: Distance learning, intelligent platform, Artificial intelligence algorithms, Remote practical works
Abstract. Distance learning is part of the educational process and has received little attention in current scientific research. However, this type of learning is fundamental in scientific and technical disciplines. It can meet real needs and complement or compensate for classes by a range of advantages such as ensuring the mobility and overcrowding of students and teachers and maintaining a healthy atmosphere within the faculty, saving time and effort. We will have the opportunity to work with many students simultaneously, develop their skills and improve their ability to work in several ways. This paper aims to adapt the remote practical work with an intelligent electronic platform using artificial intelligence techniques for the success and continuation of the educational process. Additionally, we will measure how students interact with an intelligent platform that we have created. This platform has been developed with a software background of LabVIEW, PHP, HTML, CSS, Python, and some artificial intelligence algorithms capable of managing and controlling remote practical work done by students.