scholarly journals The Role of Artificial Intelligence and Smart Classrooms during Covid-19 Pandemic and its impact on Education

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Fatima Maqbool ◽  
◽  
Seema Ansari ◽  
Pablo Otero ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Education Sector ◽  
Online Classes ◽  
Education Management ◽  
Learning And Teaching ◽  
Innovation In Education ◽  
Education Community ◽  
Conventional Classroom ◽  
Smart Classrooms

Artificial Intelligence (AI) technology has revolutionized the education sector in terms of conducting classes. Especially during Covid-19 which affected significantly the education community resulting in the shift towards online learning rather than conventional classroom teaching. This study involves experiential learning during Covid-19 lockdown situation in the field of education, learning and teaching. It discusses how education practitioners can deal with Covid19 pandemic using the benefits of AI. AI innovation in education sector has contributed not only in education but also on human development. This research aims to identify the current situation of online classes and to propose a hybrid model of Education Management System (EMS) and Machine Learning (ML).

Artificial Intelligence, Smart Classrooms and Online Education in the 21st Century

2019 ◽  
Vol 21 (3) ◽  
pp. 66-79 ◽  
Author(s):  
Ikedinachi A. P. WOGU ◽  
Sanjay Misra ◽  
Patrick A. Assibong ◽  
Esther Fadeke Olu-Owolabi ◽  
Rytis Maskeliūnas ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Online Education ◽  
Human Development ◽  
21St Century ◽  
Education Sector ◽  
Factor Method ◽  
Ex Post ◽  
The Impact ◽  
Smart Classrooms

The advent of artificial intelligence (AI) technology in the education sector has largely taken over conventional classrooms and revolutionized the way education is conducted to the admiration of many. Other scholars however, believe that such early celebration of AI benefits is unfounded and inimical to the education sector since the adoption of modern AI teaching systems now raises long-term issues about the relevance of teachers and their classrooms in 21st Century AI education. The Marxian Alienation Theory was adopted for the article. The Ex-post factor method and Derrida's critical method of analysis was utilized for attaining the objectives of the article. The article faults recent attempts at eulogizing the impact of AI innovations in the education sector and on human development. Extensive research is proposed as necessary for contemporary scholars of AI and education technologist before proper appropriation can be made about its gains in education and on human development.

scholarly journals THE USE OF AI (ARTIFICIAL INTELLIGENCE) IN ENGLISH LEARNING AMONG UNIVERSITY STUDENT: CASE STUDY IN ENGLISH DEPARTMENT, UNIVERSITAS AIRLANGGA

2021 ◽  
Author(s):  
Hemas Kumala Dewi ◽  
Raselly Elfa Putri ◽  
Nur Annisa Rahim ◽  
Tia Ivanka Wardani ◽  
Moses Glorino Rumambo Pandin
Keyword(s):  
Artificial Intelligence ◽  
Student Performance ◽  
English Learning ◽  
Literature Study ◽  
Learning And Teaching ◽  
Study Results ◽  
Artificial Intelligence Technology ◽  
Depth Interviews

Aim: This research aim is to analyze an artificial intelligence platform that can be used in imparting education as well as evaluating student performance. Method: This research was conducted with a qualitative method by conducting in-depth interviews and a literature study. Results: The findings of this study shows that Artificial Intelligence technology can be used as a means of developing English learning for students. Discussion: There have been several studies that support research results, that AI can be used to improve students' English skills through applications, websites, Virtual Reality technology, and other AI-based learning and teaching systems. Limitation: The limitation of this research is that it does not examine how far the role of AI in students' English learning is. Suggestion: For further research, it is expected to test how far the role of AI is to improve students' English skills, especially Universitas Airlangga students.

scholarly journals Artificial Intelligence and Its Role in Education

2021 ◽  
Vol 13 (22) ◽  
pp. 12902
Author(s):  
Sayed Fayaz Ahmad ◽  
Mohd. Khairil Rahmat ◽  
Muhammad Shujaat Mubarik ◽  
Muhammad Mansoor Alam ◽  
Syed Irfan Hyder
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Education Sector ◽  
Access To Education ◽  
Tutoring Systems ◽  
Smart Learning ◽  
Modern Methods

The objective of this study is to explore the role of artificial intelligence applications (AIA) in education. AI applications provide the solution in many ways to the exponential rise of modern-day challenges, which create difficulties in access to education and learning. They play a significant role in forming social robots (SR), smart learning (SL), and intelligent tutoring systems (ITS) to name a few. The review indicates that the education sector should also embrace the modern methods of teaching and the necessary technology. Looking into the flow, the education sector organizations need to adopt AI technologies as a necessity of the day and education. The study needs to be tested statistically for better understanding and to make the findings more generalized in the future.

scholarly journals THE USE OF AI (ARTIFICIAL INTELLIGENCE) IN ENGLISH LEARNING AMONG UNIVERSITY STUDENT: CASE STUDY IN ENGLISH DEPARTMENT, UNIVERSITAS AIRLANGGA

2021 ◽  
Author(s):  
Hemas Kumala Dewi ◽  
Tia Ivanka Wardani ◽  
Nur Annisa Rahim ◽  
Raselly Elfa Putri ◽  
Moses Glorino Rumambo Pandin
Keyword(s):  
Artificial Intelligence ◽  
Student Performance ◽  
English Learning ◽  
Literature Study ◽  
Learning And Teaching ◽  
Study Results ◽  
Artificial Intelligence Technology ◽  
Depth Interviews

Aim: This research aim is to analyze an artificial intelligence platform that can be used in imparting education as well as evaluating student performance. Method: This research was conducted with a qualitative method by conducting in-depth interviews and a literature study. Results: The findings of this study shows that Artificial Intelligence technology can be used as a means of developing English learning for students. Discussion: There have been several studies that support research results, that AI can be used to improve students' English skills through applications, websites, Virtual Reality technology, and other AI-based learning and teaching systems. Limitation: The limitation of this research is that it does not examine how far the role of AI in students' English learning is. Suggestion: For further research, it is expected to test how far the role of AI is to improve student's English skills, especially Universitas Airlangga students.

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

Artificial intelligence and the management transformation

2020 ◽  
Vol 16 (4) ◽  
pp. 600-612
Author(s):  
L.F. Nikulin ◽  
V.V. Velikorossov ◽  
S.A. Filin ◽  
A.B. Lanchakov
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Soft Power ◽  
Process Integration ◽  
Management Practice ◽  
Scientific School ◽  
Strategic Culture ◽  
Analysis And Synthesis ◽  
And Training

Subject. The article discusses how management transforms as artificial intelligence gets more important in governance, production and social life. Objectives. We identify and substantiate trends in management transformation as artificial intelligence evolves and gets more important in governance, production and social life. The article also provides our suggestions for management and training of managers dealing with artificial intelligence. Methods. The study employs methods of logic research, analysis and synthesis through the systems and creative approach, methodology of technological waves. Results. We analyzed the scope of management as is and found that threats and global challenges escalate due to the advent of artificial intelligence. We provide the rationale for recognizing the strategic culture as the self-organizing system of business process integration. We suggest and substantiate the concept of soft power with reference to strategic culture, which should be raised, inter alia, through the scientific school of conflict studies. We give our recommendations on how management and training of managers should be improved in dealing with artificial intelligence as it evolves. The novelty hereof is that we trace trends in management transformation as the role of artificial intelligence evolves and growth in governance, production and social life. Conclusions and Relevance. Generic solutions are not very effective for the Russian management practice during the transition to the sixth and seventh waves of innovation. Any programming product represents artificial intelligence, which simulates a personality very well, though unable to substitute a manager in motivating, governing and interacting with people.

NATURAL SCIENTISTS AND RUSSIAN SCIENTIFIC FILMMAKING IN THE PRE-REVOLUTIONARY PERIOD (SCIENCE DIVISION OF THE A.A. KHANZHONKOV COMPANY)

2020 ◽  
Vol 42 (3) ◽  
pp. 355-368
Author(s):  
YEVGENIY ALEKSANDROV
Keyword(s):  
Information Transfer ◽  
Delayed Reaction ◽  
Russian Scientific ◽  
Physical Problems ◽  
Education Community ◽  
Future System ◽  
The Future ◽  
The Spectator ◽  
Revolutionary Period

The aim of the article is to recall the fi steps of comprehension by the scientific community of possibilities of a newly born means of the reality reflection. The means was initially oriented for obtaining reliable information and supposing a delayed reaction of the spectator in the process of communication. Recollection and understanding become more important under the distance education condition. Pre-revolutionary Russia lived anticipating changes, and the filmmaking was considered by the society as one of those progressive phenomena evidencing the coming of a new age. The scientists’ activity during the development of scientific fi in pre-revolutionary Russia was long hushed up and wasn’t considered as forming a basis for the future system of educational audio-visual communication. In this process there participated striking, creative personalities, mostly belonged to the community of Imperial Moscow University, which activity was during the age of changes. The significant contribution of pleiad of eminent scientists’ activity to the new direction formation was a reason to unify in one paper both their whole professional life data and information about their time-limited period of scientific fi In the future a more profound study of their achievements are considered to be promising. In the introduction the anterior period of the Russian fi appearance, where the scientific and education community of Russia was exploring the possibilities of a new means of information transfer for education purposes, is considered. Two main units are dedicated to the role of scientists in the development of scientific filmmaking for research and popularization of biomedical and physical problems.

The Role of Theories of Embodied Cognition in Research and Modeling of Emotions

2019 ◽  
Vol 62 (5) ◽  
pp. 124-138
Author(s):  
Alexandra V. Shiller
Keyword(s):  
Artificial Intelligence ◽  
Embodied Cognition ◽  
Mirror Neurons ◽  
Empirical Studies ◽  
Unknown Quantity ◽  
Emotional Processes ◽  
Strong Artificial Intelligence ◽  
European Philosophy ◽  
Postmodern Philosophy

The article analyzes the role of theories of embodied cognition for the development of emotion research. The role and position of emotions changed as philosophy developed. In classical and modern European philosophy, the idea of the “primacy of reason” prevailed over emotions and physicality, emotions and affective life were described as low-ranking phenomena regarding cognitive processes or were completely eliminated as an unknown quantity. In postmodern philosophy, attention focuses on physicality and sensuality, which are rated higher than rational principle, mind and intelligence. Within the framework of this approach, there is a recently emerged theory of embodied cognition, which allows to take a fresh look at the place of emotions in the architecture of mental processes – thinking, perception, memory, imagination, speech. The article describes and analyzes a number of empirical studies showing the impossibility of excluding emotional processes and the significance of their research for understanding the architecture of embodied cognition. However, the features of the architecture of embodied cognition remain unclear, and some of the discoveries of recent years (mirror neurons or neurons of simulation) rather raise new questions and require further research. The rigorously described and clear architecture of the embodied cognition can grow the theoretical basis that will allow to advance the studies of learning processes, language understanding, psychotherapy techniques, social attitudes and stereotypes, highlight the riddle of consciousness and create new theories of consciousness or even create an anthropomorphic artificial intelligence that is close to “strong artificial intelligence.”

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