Abstract

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.

Highlights

  • AND RELATED WORKIn recent utensils, significantly since the beginning of the Corona crisis, the world has changed dramatically

  • As we pointed out previously, our goal is to develop an intelligent platform that can adapt quickly and flexibly to students to do remote practical works (RPWs) in an atmosphere of desire and enthusiasm, so in figure 2 we have proposed an illustration of the course of the work done

  • Our smart platform has been used as a source of data to be analysed using convolutional neural network (CNN), recurrent neural network RNN, extended short-term memory network (LSTM), and artificial neural network (ANN) techniques for data retrieval and analysis

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Summary

Introduction

AND RELATED WORKIn recent utensils, significantly since the beginning of the Corona crisis, the world has changed dramatically. Given our interest in education and the development of intelligent teaching methods, we have faced many challenges during this crisis; we must take reasonable control of the situation by developing a set of strategies in line with the requirements of students, professors, and administrators These requirements have led us to consider creating and developing an intelligent electronic platform capable of clever and excellent organization and control of remote practical works (RPWs) to ensure educational continuity. One of the advantages of this platform is that it can store and analyse all data taken from students and professors during access This data and analysis helped us cultivate a system based on artificial intelligence technologies found in the paper (El Gourari et al, 2021) that helps guide and assist students in an intelligent way based on their leave and skills in handling electronic circuits. There is a lot of related work in this path (Petrenko et al, 2020) illustrate the cleared concepts’ system in the context of their stated research theme, their current state of skilled workers’ and junior specialists’ distance education in the Ukrainian vocational education and training institutions. (Karadeniz, 2009) create an electronic learning environment that allows learners to access information anywhere, including the distance learning concept. (Lenar et al, 2014) gives an analysis of forms of learning, offers main directions of development of distance learning, and shows differences of distance learning from the traditional

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