scholarly journals ADAPTATION OF REMOTE PRACTICAL WORKS WITH SMART ELECTRONIC PLATFORM BASED ON ARTIFICIAL INTELLIGENCE

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 205-210
Author(s):  
A. El Gourari ◽  
M. Raoufi ◽  
M. Skouri
Keyword(s):  
Artificial Intelligence ◽  
Distance Learning ◽  
Scientific Research ◽  
Educational Process ◽  
Practical Work ◽  
Ability To Work ◽  
Artificial Intelligence Techniques ◽  
Work Done

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.

scholarly journals Some Aspects of Digitalization in the Study of Criminal Law Disciplines

2019 ◽  
Vol 71 ◽  
pp. 05013
Author(s):  
I.E. Milova ◽  
E.A. Milova ◽  
D.D. Osipov ◽  
T.A. Kalenteva
Keyword(s):  
Artificial Intelligence ◽  
Law Enforcement ◽  
Criminal Law ◽  
Educational Process ◽  
Practical Work ◽  
Formal Approach ◽  
Applied Skills ◽  
Time Future

Digitalization is a part of modern reality. It covers all areas of activity, including the educational process. For the training of lawyers is extremely important transition to the figure in the study of disciplines of criminal law orientation. It is in this area of knowledge that the use of artificial intelligence can give breakthrough results. Electronic formats of training not only develop the logic of thinking of lawyers, giving them a sum of theoretical ideas, but also prepare them for independent practical work, giving them the opportunity to gain professional applied skills. At the same time training simulators, business games, help to identify and develop the ability of students to implement specific law enforcement functions. At the same time, future lawyers develop a non-formal approach to obtaining information, with the transition from its simple perception to a logically oriented search, generalization and application, the ability to identify and identify the problem, to develop an algorithm for its step-by-step solution, to obtain optimally informed conclusions.

scholarly journals CONCERTMASTER’S WORK IN EDUCATIONAL INSTITUTIONS OF UKRAINE: COMPETENCE ASPECT

2020 ◽  
Vol 10 (86) ◽  
Author(s):  
Andriy Bondarenko ◽  
Keyword(s):  
Communication Systems ◽  
Information Technologies ◽  
Music Performance ◽  
Scientific Research ◽  
Audio Signal ◽  
Educational Process ◽  
Educational Institutions ◽  
Office Work ◽  
Ability To Work ◽  
High Level

The article examines the competent requirements for concertmasters of educational institutions of Ukraine. In late 2010s Ukrainian government revises the requirements for the staff of educational institutions. These revision needs to be issued in three aspects: impact on the quality of the educational process, new com-petencies of educational staff required, and the aim of those revisions. Each of the aspects mentioned requires a separate study for each of the educational areas. The aspect we have chosen is competence, which has become especially acute in the context of the COVID-19 pandemic, which has prompted the authorities to limit and, in some cases, completely bans face-to-face classes in educational institutions. It is shown that the competencies of concertmasters are the ability to play in an ensemble, which requires a high level of playing the instrument, the ability to read notes from a sheet, including scores with a large number of staves, an ability to transpose music and a deep feeling of a soloist playing. However, the new realities, caused by Ukrainian government activities led to new competency requirements for concertmasters working in Ukrainian educational institutions. Namely, these requirements are the ability to work with documents, to conduct organizational and methodological work, to carry out scientific research as well. Moreover, the rise of distance education during Covid-19 pandemic made real-time practice with concertmaster impossible due to imperfections of the Internet communication, namely due to the audio signal latency occurred while using digital communication systems. In this situation, concertmaster should be able to prepare phonograms or remote ensemble recordings, which are performed alternately by the accompanist and soloist. This form also requires special skills, namely an ability to work with information technologies, in particular multimedia. It is concluded that concertmaster of Ukrainian educational institutions is required to be competent not only in piano ensemble playing but also in a lot of other fields not connected to music performance such as office work, scientific research and information technologies.

scholarly journals Impact of higher music education on coping with stress during COVID-19

2021 ◽  
Vol 9 (3) ◽  
pp. 55-67
Author(s):  
Oleksii Nalyvaiko ◽  
◽  
Kseniia Lykhoshvai ◽  
Keyword(s):  
Distance Learning ◽  
Music Education ◽  
Educational Process ◽  
Stress Coping ◽  
Coping With Stress ◽  
Musical Education ◽  
Offline Learning ◽  
Study Participants ◽  
Work Done ◽  
The Impact

The article is dedicated to the study if students with special musical education have any benefits of stress coping over students of other specialties during the pandemic. The main purpose is to study the attitude of student musicians to overcome stressful situations caused by COVID-19 in the learning process. Research objectives include: current state of music education in the context of forced quarantine distance learning; the impact of forced quarantine distance learning on stress among students of music and non-music specialties; the analysis of stress coping skills and the impact of music education on them; recommendations for improving the psychological and pedagogical interaction of the participants in the educational process. The study involved 160 respondents, 80 of them are music students and 80 students of other specialties that do not belong to the study of musical art. To collect information and data, the study participants were asked to fill out a Google form. The results of the study show that online learning is very time-consuming and that losing a satisfactory work-life balance is stressful. But students became more organized in managing their activities. Internet platforms have proven useful for sharing materials, communicating, sharing information and content, and keeping track of all work done. Thus, there is a tendency towards easier tolerance of stress by musicians, although our study showed that with a slight margin of 80.6%, people without musical education consider themselves happier by 82%. This is also confirmed by the fact that non-musicians are more optimistic about their future according to the results obtained on the Beck's Hopelessness Scale, where 2 units are for musicians and 1 for non-musicians. These results indicate that hopelessness has not been identified and students are optimistic about their future. In the context of stress coping recommendations for students are provided. In conclusion, based on the information gained and own experience there is a variety of ways to obtain benefits from both online and offline learning forms for both musicians and non-musicians.

Watermarking Using Artificial Intelligence Techniques

2014 ◽  
pp. 2665-2674
Author(s):  
Channapragada R. S. G. Rao ◽  
Vadlamani Ravi ◽  
Munaga. V. N. K. Prasad ◽  
E. V. Gopal
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Image Watermarking ◽  
Color Images ◽  
Digital Image Watermarking ◽  
Future Directions ◽  
Artificial Intelligence Techniques ◽  
Work Done

This Chapter presents a brief review of the work done during 1990-2013, in the application of intelligent techniques to digital image watermarking. The review discusses many papers of the gray-scale and color images than other multimedia. The review is structured by considering the type of technique applied to solve the problem as an important dimension. Consequently the papers are grouped into the following two families, (i) Neural networks, (ii) Fuzzy logic. Comparative analysis of different techniques is also presented. Finally, the review is concluded with future directions.

EDUCATIONAL ENVIRONMENT OF THE UNIVERSITY FOR STUDENTS OF TRANSPORTATION SPECIALTIES OF APPLIED MECHANICSDURING DISTANCE LEARNING

2021 ◽  
Vol 74 (3) ◽  
pp. 102-108
Author(s):  
E.N. GRYADUNOVA ◽  
◽  
M.A. GORINA ◽  
O.V. YAKOVLENKO ◽  
M.A. GRYADUNOVA ◽  
...  
Keyword(s):  
Distance Learning ◽  
Educational Environment ◽  
Educational Process ◽  
Remote Access ◽  
Practical Work ◽  
Applied Mechanics ◽  
Advantages And Disadvantages ◽  
Access Mode ◽  
Education Of Students ◽  
The University

The article is devoted to the problems of studying technical disciplines in the remote access mode by students of transport specialties. The advantages and disadvantages of the digital learn-ing format are considered. Fragments of practical work on applied mechanics in the Zoom pro-gram are presented. Recommendations are given for the intensification of the educational process in the remote education of students of transport specialties.

scholarly journals Artificial Intelligence Techniques for Distance Education: A Systematic Literature Review

TEM Journal ◽  
2021 ◽  
pp. 1621-1629
Author(s):  
Aayat Aljarrah ◽  
Mustafa Ababneh ◽  
Damla Karagozlu ◽  
Fezile Ozdamli
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Distance Education ◽  
Big Data ◽  
Distance Learning ◽  
Affective Computing ◽  
Learning System ◽  
Educational Systems ◽  
Artificial Intelligence Techniques ◽  
Educational Processes

In the current era, education, like other fields, relies heavily on big data. Moreover, artificial intelligence, including affective computing, is one of the most essential and popular technologies adopted by educational institutions to process and analyze big data. In this systematic review, many previous research types related to improving educational systems using artificial intelligence techniques were studied, such as: deep learning, machine learning, and affective computing. This systematic review aims to identify the gaps in students' emotional understanding in distance education systems. The world has recently witnessed the spread of educational processes for distance learning, especially in the university and the enormous open online courses (MOOCs). Besides, the COVID-19 pandemic has been involved in changing all educational processes to a distance learning system. The results indicated that these systems recorded a high success rate. However, the teacher does not fully understand the student’s emotional state during the educational session. It also lacks monitoring or monitoring during the electronic exams, which are electronic exams. So, it is a widespread problem in distance learning.

scholarly journals Planning and Record Keeping of Educational Work Done by Professional and Teaching Staff While Implementing Distance Learning Training Programs

2018 ◽  
Vol 7 (4.38) ◽  
pp. 542
Author(s):  
O. V. Sviridenko ◽  
V. Y. Bauer ◽  
Y. A. Baluyeva ◽  
E. V. Komerzan
Keyword(s):  
Distance Learning ◽  
Planning Process ◽  
Educational Process ◽  
Planning System ◽  
Teaching Staff ◽  
Educational Work ◽  
Record Keeping ◽  
Work Planning ◽  
Work Done ◽  
Russian Universities

Organization of the educational process includes planning teachers’ work carried out while implementing BPEP in distance learning form. An important objective of this stage is to identify certain types of teachers’ work that differ from the classroom and their rationing. At the Russian universities, the planning system has been used for more than half a century, however, the emergence of new teaching technologies requires making significant changes to it. The article describes the educational work planning process done by the professional and teaching staff of "NRU" MPEI" carried out while implementing educational programs with distant education technologies; certain types of teachers’ work were found out and standard time to accomplish them was set.   

scholarly journals Bridging the Gap between Energy Consumption and Distribution through Non-Technical Loss Detection

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1748 ◽  
Author(s):  
Bernat Coma-Puig ◽  
Josep Carmona
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Energy Consumption ◽  
Energy Distribution ◽  
Machine Learning Techniques ◽  
Artificial Intelligence Techniques ◽  
Learning Techniques ◽  
Distribution Company ◽  
Energy Companies ◽  
Work Done

The application of Artificial Intelligence techniques in industry equips companies with new essential tools to improve their principal processes. This is especially true for energy companies, as they have the opportunity, thanks to the modernization of their installations, to exploit a large amount of data with smart algorithms. In this work we explore the possibilities that exist in the implementation of Machine-Learning techniques for the detection of Non-Technical Losses in customers. The analysis is based on the work done in collaboration with an international energy distribution company. We report on how the success in detecting Non-Technical Losses can help the company to better control the energy provided to their customers, avoiding a misuse and hence improving the sustainability of the service that the company provides.

scholarly journals Retrospect and prospect of a section-based stratigraphic and palaeontological database – Geobiodiversity Database

2020 ◽  
Author(s):  
Hong-He Xu ◽  
Zhi-Bin Niu ◽  
Yan-Sen Chen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Quantitative Analysis ◽  
Quantitative Research ◽  
Scientific Research ◽  
Data Driven ◽  
Artificial Intelligence Techniques ◽  
Existing Problems ◽  
Push Forward ◽  
Early Palaeozoic

Abstract. Big data are significant to the quantitative analysis and contribute to the data-driven scientific research and discoveries. Here the thorough introduction is given on the Geobiodiversity database (GBDB), a comprehensive stratigraphic and palaeontological database. The GBDB includes abundant geological records from China and contributes a serial of scientific studies on early Palaeozoic palaeogeography, tectonic and biodiversity evolution of China. Nevertheless, the existing problems of the GBDB limited the using of its data. The turnover and improvement of the GBDB were started in 2019. Besides the data collecting, processing and visualization as the GBDB did previously, the database and the website are optimized and re-designed, the new GBDB working team pays more attention to data analyzing with the professional artificial intelligence techniques. GBDB is complementary to other related databases, and further collaborations are proposed to mutually benefit and push forward the quantitative research of palaeontology and stratigraphy in the era of big data. The datasets (Xu, 2020) are freely downloadable from http://doi.org/10.5281/zenodo.3667645.

Online education empowerment with artificial intelligence tools

2020 ◽  
Vol 25 (2) ◽  
pp. 22-29
Author(s):  
Boichenko A.V. ◽  
◽  
Boichenko O.A. ◽  
Keyword(s):  
Artificial Intelligence ◽  
Online Learning ◽  
Distance Learning ◽  
Online Education ◽  
Educational Process ◽  
Learning System ◽  
Educational Institutions ◽  
External Data ◽  
Types Of Information ◽  
The Impact

The experience of organizing the educational process during the quarantine caused by the COVID-19 pandemic is considered. Using of interactive technologies that allow organizing instant audio communication with a remote audience, as well as intelligent tools based on artificial intelligence that can help educational institutions to work more efficiently. Examples of sufficient use of artificial intelligence in distance learning are given. Particular attention is paid to the development of intelligent chatbots intended for use in communications with students of online courses of educational web portals. The use of technologies of ontology formation based on automatic extraction of concepts from external sources is offered, what can lead to greater acceleration of construction of the intellectual component of chatbots. Artificial intelligence tools can become an essential part of distance learning during this global COVID-19 pandemic. While educational institutions are closed to quarantine and many of them transitioned to distance learning lecturers and schoolteachers, as well as students and schoolchildren faced with the necessity to study in this new reality. The impact of these changes depends on people's ability to learn and on the role that the education system will play in meeting the demand for quality and affordable training. The experience of organizing the educational process at the University of Education Management of the National Academy of Pedagogical Sciences of Ukraine in the quarantine caused by the COVID-19 pandemic showed that higher and postgraduate institutions were mostly ready to move to distance learning. However, most distance learning systems, on whatever platform they are organized, need to be supplemented: the ability to broadcast video (at least ‒ one-way streaming), providing fast transmission of various types of information, receiving instant feedback when voting, polls and more. The structure of each section of the training course for the online learning system should fully cover the training material and meet all the objectives of the course. Appropriate language should be used, and wording, syntax, and presentation of tasks should be considered. One of the areas of application of artificial intelligence technologies in online learning is the use of chatbots which are characterrized by the following properties. It is advisable to use computer ontologies to ensure the intellectualization of chatbots. In this case, the metadata must be understandable to both humans and software and meet the requirements of modern standards in the field of information technology. The extraction of concepts from external data sources was carried out to build the ontology.

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