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.

DISTANCE LEARNING AND INFORMATION SECURITY

2021 ◽  
pp. 51-65
Author(s):  
Andrei V. Gavrilenko ◽  
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Information Security ◽  
Learning System ◽  
Learning Problems ◽  
Security Assessment ◽  
Critical Nodes ◽  
Distance Learning System ◽  
Principal Directions ◽  
The University

The article considers an issue of information security of the distance education systems. It analyzes the functions and architecture of the typical distance education system. With considering the requirements of information security it also discusses the university information system for solving the distance learning problems. The author defines valuable assets and information resources and describes the existing security threats. The subjects of interaction in the distance learning mode are presented. There is a consideration of the principal directions of the university’s activity in the distance learning system, requiring constant monitoring of information security. A threat model is worked out and the main security vulnerabilities are highlighted. The analysis of the causes and consequences of information security violation in the distance learning system is carried out and most vulnerable and critical nodes were identified. The hardware and software requirements for the remote mode work are regarded. A recommended list of hardware and software tools that ensure compliance with safety requirements is presented. The major lines of protection for distance learning systems are highlighted. The article proves the necessity of conducting a regular security assessment as a means for monitoring an effectiveness of the protection system.

Disrupting Agriculture

2021 ◽  
pp. 771-812
Author(s):  
Omar F. El-Gayar ◽  
Martinson Q. Ofori
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Big Data ◽  
New Paradigm ◽  
Agricultural Industry ◽  
Decision Systems ◽  
Food And Agriculture ◽  
Key Stakeholders ◽  
Smart Agriculture ◽  
Key Aspects

The United Nations (UN) Food and Agriculture (FAO) estimates that farmers will need to produce about 70% more food by 2050. To accommodate the growing demand, the agricultural industry has grown from labor-intensive to smart agriculture, or Agriculture 4.0, which includes farm equipment that are enhanced using autonomous unmanned decision systems (robotics), big data, and artificial intelligence. In this chapter, the authors conduct a systematic review focusing on big data and artificial intelligence in agriculture. To further guide the literature review process and organize the findings, they devise a framework based on extant literature. The framework is aimed to capture key aspects of agricultural processes, supporting supply chain, key stakeholders with a particular emphasis on the potential, drivers, and challenges of big data and artificial intelligence. They discuss how this new paradigm may be shaped differently depending on context, namely developed and developing countries.

Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services

2022 ◽  
pp. 187-204
Author(s):  
María A. Pérez-Juárez ◽  
Javier M. Aguiar-Pérez ◽  
Miguel Alonso-Felipe ◽  
Javier Del-Pozo-Velázquez ◽  
Saúl Rozada-Raneros ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Financial Institutions ◽  
Financial Services ◽  
Essential Role ◽  
Digital Natives ◽  
Digital Immigrants ◽  
Artificial Intelligence Techniques ◽  
New Challenges

A lot of millennials have been educated in gamified schools where they played Kahoot several times per week, and where applications like Classcraft made them feel like the protagonists of a videogame in which they had to accumulate points to be able to level up. All those that were educated in a gamified environment feel it is natural and logical that gamification is used in all areas. For this reason, gamification is increasingly becoming important in different fields including financial services, bringing new challenges. Gamification allows financial institutions to provide personalized and compelling experiences. Big data and artificial intelligence techniques are called to play an essential role in the gamification of financial services. This chapter aims to explore the possibilities of using artificial intelligence and big data techniques to support gamified financial services which are essential for digital natives but also increasingly important for digital immigrants.

scholarly journals Artificial Intelligence in Education

Seminar.net ◽  
2021 ◽  
Vol 17 (2) ◽  
Author(s):  
Xavier Giró Gràcia ◽  
Juana M. Sancho-Gil
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Digital Technology ◽  
Social Systems ◽  
Machine Learning Algorithms ◽  
Educational Systems ◽  
Negative Effects ◽  
Black Boxes ◽  
Artificial Intelligence In Education

Digital technology is constantly permeating and transforming all social systems, and education is not an exception. In the last decade, the unstoppable development of Artificial Intelligence, based on machine learning algorithms and fuelled by Big Data, has given a new push to the hope of improving learning-based machines, and providing educational systems with ‘effective’ solutions. Educators, educational researchers and policymakers, in general, lack the knowledge and expertise to understand the underlying logic of these new ‘black boxes’, and we do not have sufficient research-based evidence to understand the consequences that an excessive use of screens has in students’ development. This paper first discusses the notions behind what Big Data is and what it means in our current society; how data is the new currency that has driven the use of algorithms in all areas of our society, and specifically in the field of Artificial Intelligence; and the concept of ‘black boxes’, and its possible impact on education. Then, it discusses the underlying educational discourses, pointing out the need to analyse not only their contributions but also their possible negative effects. It finishes with considerations and a proposed agenda for further studying this phenomenon.

scholarly journals Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Naseer Ahmed ◽  
Maria Shakoor Abbasi ◽  
Filza Zuberi ◽  
Warisha Qamar ◽  
Mohamad Syahrizal Bin Halim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Full Text ◽  
Patient Management ◽  
English Language ◽  
Clinical Performance ◽  
Research Question ◽  
Time Saving ◽  
Artificial Intelligence Techniques ◽  
Clinical Scenarios

Objective. The objective of this systematic review was to investigate the quality and outcome of studies into artificial intelligence techniques, analysis, and effect in dentistry. Materials and Methods. Using the MeSH keywords: artificial intelligence (AI), dentistry, AI in dentistry, neural networks and dentistry, machine learning, AI dental imaging, and AI treatment recommendations and dentistry. Two investigators performed an electronic search in 5 databases: PubMed/MEDLINE (National Library of Medicine), Scopus (Elsevier), ScienceDirect databases (Elsevier), Web of Science (Clarivate Analytics), and the Cochrane Collaboration (Wiley). The English language articles reporting on AI in different dental specialties were screened for eligibility. Thirty-two full-text articles were selected and systematically analyzed according to a predefined inclusion criterion. These articles were analyzed as per a specific research question, and the relevant data based on article general characteristics, study and control groups, assessment methods, outcomes, and quality assessment were extracted. Results. The initial search identified 175 articles related to AI in dentistry based on the title and abstracts. The full text of 38 articles was assessed for eligibility to exclude studies not fulfilling the inclusion criteria. Six articles not related to AI in dentistry were excluded. Thirty-two articles were included in the systematic review. It was revealed that AI provides accurate patient management, dental diagnosis, prediction, and decision making. Artificial intelligence appeared as a reliable modality to enhance future implications in the various fields of dentistry, i.e., diagnostic dentistry, patient management, head and neck cancer, restorative dentistry, prosthetic dental sciences, orthodontics, radiology, and periodontics. Conclusion. The included studies describe that AI is a reliable tool to make dental care smooth, better, time-saving, and economical for practitioners. AI benefits them in fulfilling patient demand and expectations. The dentists can use AI to ensure quality treatment, better oral health care outcome, and achieve precision. AI can help to predict failures in clinical scenarios and depict reliable solutions. However, AI is increasing the scope of state-of-the-art models in dentistry but is still under development. Further studies are required to assess the clinical performance of AI techniques in dentistry.

scholarly journals The trend of distance education: problems and prospects for implementation

2021 ◽  
Vol 24 (3) ◽  
pp. 98-103
Author(s):  
George Grigorov
Keyword(s):  
Higher Education ◽  
Distance Education ◽  
Distance Learning ◽  
General Education ◽  
Modern Society ◽  
Industrial Society ◽  
Educational Institutions ◽  
Steady Increase ◽  
Educational Systems ◽  
The Past

Distance education has become an integral part of the educational system around the world. Official statistics on distance education, confirm a steady increase in the number of participants in distance learning and courses. The range of courses offered by more than 200 distance learning institutions, including about 1500 courses, of which about 75% – vocational and about 25% – general education. For the most part, this method of training is offered mainly by private institutes.The success of distance learning can be explained against the backdrop of changing conditions in economics, technology, and society. By the era of industrial society, the educational ideal of modern society was oriented to the classical educational systems for that time, which originated in antiquity. In many countries, traditional social norms have changed over the past 20 years.One authoritative researcher in the field of distance education noted that technology as a service delivery system has played an important role in the development of distance education and research. Over the past two decades, there has been an increase in the number of educational institutions that offer a service such as distance learning. There has also been an increase in the number of students receiving distance education not only in our country, but also in educational institutions around the world.Despite the fact that there have been extensive studies of open distance learning, there is no consensus on the indisputable benefit or inadmissibility of distance learning in higher education. Identification and study of problematic issues in the field of distance education implementation remains very relevant today.In this article we want to consider some problematic issues of distance learning in higher education, which is considered today the most favorable for the study and implementation of the model of exclusively online learning.

scholarly journals Features of distance learning by the disciplines in the Earth Sciences direction at a technical university

2021 ◽  
Vol 43 (4) ◽  
pp. 499-509
Author(s):  
L. A. Rapatskaya ◽  
V. I. Snetkov
Keyword(s):  
Earth Sciences ◽  
Distance Education ◽  
Distance Learning ◽  
Learning System ◽  
Educational Technologies ◽  
Full Time ◽  
Technical Problems ◽  
The Earth ◽  
Distance Learning System ◽  
Technical University

: Distance education has become widely used both in Russia and abroad in recent decades. A particularly powerful impetus to distance education technology development and spread was given by the coronavirus pandemic in 2019. To improve learning efficiency in the system of distance education, it was required to refine various and accessible forms of education. It was also necessary to make a wider use of new educational technologies. The purpose of this study is to analyze the use of the latest educational technologies in the distance learning of students in the disciplines of the Earth Sciences direction at a technical university, as well as to form a modern educational space in online learning and stimulate students' independent work based on the assignments supervised by teachers. The study described in this paper deals with the following application features of distance learning at Irkutsk National Research Technical University: the presentation specifics of the theory and the introduction forms of material for laboratory works, choice of the most effective teaching aids, methodology for the current and final control of students' knowledge. Irkutsk National Research Technical University has chosen Moodle from a wide variety of distance learning systems. The advantage of this system is the ability to perform laboratory, practical and course works, which is important for a technical university, also to conduct tests, the results of which can be monitored by both teachers and students in an electronic gradebook. The distance learning system turned out to be more multisided, but more laborious than in-person training. Moreover, it is also complicated by a number of technical problems. The distance learning process requires the establishment of a certain parity of interests, abilities and opportunities between the teaching (professor/lecturer) and the learning (student) parties. The distance learning system has a number of features that should be taken into account when introducing theoretical and lecture material, which requires a more rigorous selection of files or their conversion into less heavy ones, as well as conciseness and clarity of material presentation. The use of virtual laboratories for carrying out laboratory works, availability of distance technologies for training disabled students and corresponding students is gaining great importance. The research results imply that today distance learning is a necessary part of the educational system along with in-person (full-time) or correspondent (part-time) training and one of the main goals of modern distance learning is the ability to work with information and selfimprovement.

scholarly journals Impact of professional self-improvement on the effectiveness of teachers in distance education

2021 ◽  
Vol 14 (33) ◽  
pp. e16159
Author(s):  
Marina Nikolaevna Vrazhnova ◽  
Mark Socratovich Anastasov ◽  
Galina Yurievna Nikiporets-Takigawa
Keyword(s):  
Higher Education ◽  
Distance Education ◽  
Distance Learning ◽  
Higher Education Institutions ◽  
Educational Process ◽  
Learning System ◽  
Survey Method ◽  
Successful Work ◽  
Before And After ◽  
Professional Self

Distance education requires the teacher to conduct systematic classes with the student, methodologically competent use the developed content for distance learning, means of communication, and educational resources of the Internet, as well as implement technical support for the educational process. The purpose of the study is to develop educational and methodological support for the process of professional self-improvement of teachers in higher education institutions when working remotely. The study analyzes the role of a teacher in the distance learning system, identifies the types of teacher’s activities, as well as the requirements and conditions for their successful work. Working online expands and renews the teacher’s role, makes them a mentor-consultant who coordinates the cognitive process, constantly improving their course and increasing creativity and qualifications in accordance with innovations. Based on empirical research using the survey method, the dynamics of teachers’ readiness to work online before and after passing the interdisciplinary course “Distance Education Technologies in the Educational Process of the University” were determined. Positive results in the formation of teachers’ readiness to work online after completing the course were obtained. The study concluded that the readiness of teachers to work remotely can be increased if the appropriate educational and methodological support is developed and implemented in higher education institutions, which will lead to an increase in the effectiveness of teachers’ work.

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