
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.
FOS: Computer and information sciences, Technology, Artificial intelligence, Smart University in Digital Ecosystems, Modeling and Control of Multidimensional Systems, Smart University, Engineering, Distance Learning, Remote Laboratories, Media Technology, Applied optics. Photonics, Software engineering, Adaptation (eye), Human–computer interaction, T, Physics, Python (programming language), Educational Technology, Optics, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Process (computing), Operating system, Multimedia, Control and Systems Engineering, Remote Laboratories in Engineering Education, Physical Sciences, Computer Science, TA1-2040, Software, Information Systems
FOS: Computer and information sciences, Technology, Artificial intelligence, Smart University in Digital Ecosystems, Modeling and Control of Multidimensional Systems, Smart University, Engineering, Distance Learning, Remote Laboratories, Media Technology, Applied optics. Photonics, Software engineering, Adaptation (eye), Human–computer interaction, T, Physics, Python (programming language), Educational Technology, Optics, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, Process (computing), Operating system, Multimedia, Control and Systems Engineering, Remote Laboratories in Engineering Education, Physical Sciences, Computer Science, TA1-2040, Software, Information Systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
