scholarly journals Tecnologías emergentes en el proceso de enseñanza-aprendizaje: hacia el desarrollo del pensamiento crítico

2020 ◽  
Vol 23 (3) ◽  
Author(s):  
Claudia Lengua Cantero ◽  
Giany Bernal Oviedo ◽  
Wilson Flórez Balboza ◽  
Miguel Velandia Feria
Keyword(s):  
Artificial Intelligence ◽  
Critical Thinking ◽  
Expert Systems ◽  
Information Technologies ◽  
Emerging Technologies ◽  
Systems Architecture ◽  
Documentary Analysis ◽  
Artificial Intelligence In Education

El uso de las tecnologías de la información, como mediación entre los procesos de enseñanza-aprendizaje, han supuesto la concepción y el diseño de nuevos paradigmas que coadyuven a definir nuevas propuestas didácticas y pedagógicas, con el objetivo de propiciar espacios y metodologías que trascienden a las tradicionales. El presente estudio se centró en caracterizar el uso de las tecnologías emergentes (TE) como mediación para el desarrollo del pensamiento crítico en los diez últimos años. En este sentido, se analizó el uso de la inteligencia artificial en la educación, sus características y la arquitectura de los sistemas expertos. El método utilizado para la recolección de la información fue el análisis documental de diferentes artículos científicos. Se concluye que las tecnologías emergentes son un agente científico que se caracterizan por mantenerse en constante evolución y que en los últimos años se han situado como una de las tendencias con mayor desarrollo en el campo educativo. No obstante, en el caso concreto de la inteligencia artificial, esta no ha alcanzado su estado de madurez aún y no se evidencian estudios que la relacionen con el desarrollo del pensamiento crítico. The use of information technologies, as mediation between the learning-teaching processes, has supposed the conception and new design of paradigms that helps to define new didactic and pedagogical proposals, with the objective of propitiating places and methodologies that transcend the traditional ones. This research it is focused on characterize the use of emerging technologies (ET) as mediation for critical thinking development in the last ten years. In this sense, the use of artificial intelligence in education, its characteristics and the expert systems architecture were analysed. The method used to collect the information was the documentary analysis of different scientific articles. It is concluded that emerging technologies are a scientific agent that are characterized by constant evolution andn the last years they have become one of the most developed trends in the field of education.  However, in the specific case of artificial intelligence, it has not yet reached its state of maturity and there is no evidence of studies that relate it to the critical thinking development.

scholarly journals USE OF ELEMENTS OF ARTIFICIAL INTELLIGENCE IN THE ANALYSIS OF INFOCOMMUNICATION TRAFFIC

T-Comm ◽  
2020 ◽  
Vol 14 (12) ◽  
pp. 66-71
Author(s):  
Shakhmaran Zh. Seilov ◽  
◽  
Vadim Yu. Goikhman ◽  
Yerden Zhursinbek ◽  
Mereilim N. Kassenova ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Neural Networks ◽  
Expert Systems ◽  
Communication Networks ◽  
Network Architecture ◽  
Information Technologies ◽  
Signal Propagation ◽  
Traffic Analysis ◽  
Video Data

Modern communication networks are based on multi-service networks, which are a single telecommunications structure that can transmit large volumes of multi-format information (voice, video, data) and provide users with a variety of information and communication services. Traffic transmitted in multiservice networks differs significantly from traditional traffic of telephone or other homogeneous networks. Knowledge of the nature of modern traffic is necessary for the successful construction, operation and development of multi-service communication networks, providing users with high-quality services, and efficient use of funds allocated for network development. To learn the properties of infocommunication traffic, new methodological techniques are currently used, as well as promising information technologies such as Big Data and data mining. The article is devoted to the use of such elements of artificial intelligence as expert systems and neural network technologies in relation to the analysis of infocommunication traffic. The article examines the structure of expert systems, analyzes the applied search strategies and decision-making methods. The article also provides an overview of the architecture of neural networks in relation to traffic analysis tasks. The traffic analysis task is a classification task. The feasibility of using multi-layer neural networks with direct signal propagation for traffic analysis is shown. The following neural network architecture was chosen: the input layer, in accordance with the dimension of the input signal, contained 51 neurons, two hidden layers with 20 and 10 neurons, respectively, and the output layer with five neurons, according to the number of specified types of distributions. The results obtained showed a satisfactory quality of the neural network developed and trained in the framework of the research.

scholarly journals The analysis of the tendencies in the application of artificial intelligence technologies in the educational sphere

2021 ◽  
Vol 21 (1) ◽  
pp. 37-42
Author(s):  
Sergey A. Korchagin ◽  
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Russian Federation ◽  
Education System ◽  
Information Technologies ◽  
Modern Society ◽  
Higher Education System ◽  
Artificial Intelligence In Education ◽  
The Russian Federation ◽  
Intelligent Information

The article discusses the main trends in the field of artificial intelligence in relation to the educational sphere. The analysis of the use of artificial intelligence technologies and their impact on the higher education system was carried out. The attitude of the citizens of the Russian Federation to artificial intelligence in education was investigated. The main reasons for the fears of the respondents about the use of intelligent information systems in the educational sphere were identified. The proposals for the implementation of the models and methods of artificial intelligence in the higher education system of the Russian Federation were developed. The potential of the possibilities of the influence of new information technologies on the modern society was indicated.

Fake news, technology and ethics: Can AI and blockchains restore integrity?

2021 ◽  
pp. 204388692199906
Author(s):  
Mary C Lacity
Keyword(s):  
Artificial Intelligence ◽  
Information Technologies ◽  
Emerging Technologies ◽  
Freedom Of Speech ◽  
Fake News ◽  
Ethical Guidelines ◽  
Teaching Case ◽  
Advantages And Disadvantages ◽  
Key Questions

This teaching case explores the advantages and disadvantages of battling fake news with advanced information technologies, such as artificial intelligence (AI) and blockchains. Students will explore the purposes of, proliferation of, susceptibility to, and consequences of fake news and assess the efficacy of new interventions that rely on emerging technologies. Key questions students will explore: How can we properly balance freedom of speech and the prevention of fake news? What ethical guidelines should be applied to the use of AI and blockchains to ensure they do more good than harm? Will technology be enough to stop fake news?

scholarly journals TO THE QUESTION OF THE IMPACT OF ARTIFICIAL INTELLIGENCE ON MODERN EDUCATION

2021 ◽  
Vol 10 (34) ◽  
Author(s):  
K.S ITINSON ◽  
◽  
V.M CHIRKOVA ◽  
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Information Technologies ◽  
Higher Education Institutions ◽  
Descriptive Analysis ◽  
Educational Process ◽  
Practical Significance ◽  
Modern Education ◽  
Artificial Intelligence In Education ◽  
The Impact

The article is devoted to the study of the influence of artificial intelligence on modern education, analysis of the prospects of artificial intelligence application in higher education institutions and problems arising as a result. The authors note that the future of higher education is inextricably linked to the development of information technologies and intellectual machines. The prospects of artificial intelligence open up new opportunities in teaching and learning in higher education institutions with powerful potential to change even the management system of educational institutions itself. The authors study the history of artificial intelligence since the 14th century, when Raimund Lullius proposed the idea of implementing reasoning and thought processes in an intellectual machine. The article uses methods of complex theoretical and descriptive analysis. The scientific novelty of the work is that the authors of the article have found that the effectiveness of use of artificial intelligence in education can be represented by the following functions: automation, integration, acclimation, distinction, identification. The authors argue that the increasing use of artificial intelligence in universities and schools also puts ethical questions at the forefront. Now organisations must consider what type of data is collected, how that information is used and what controls are in place to protect the privacy of students and schoolchildren. Practical significance of the work: in addition to functions reflecting the effectiveness of the use of artificial intelligence in the educational process, the authors have determined the positive aspects of the introduction of artificial intelligence in education. The results of the study: the authors of the article conclude that at present universities need to rethink their function and pedagogical models of education in relation to artificial intelligence, as higher education institutions open up extensive opportunities due to the application of artificial intelligence in the educational process.

CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Extracurricular Activities ◽  
Information Technologies ◽  
Learning Experience ◽  
9Th Grade ◽  
Modern Information ◽  
Further Development ◽  
Form Variant ◽  
Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

scholarly journals Artificial Intelligence in education: Using heart rate variability (HRV) as a biomarker to assess emotions objectively

2021 ◽  
Vol 2 ◽  
pp. 100011
Author(s):  
Joanne Wai Yee Chung ◽  
Henry Chi Fuk So ◽  
Marcy Ming Tak Choi ◽  
Vincent Chun Man Yan ◽  
Thomas Kwok Shing Wong
Keyword(s):  
Artificial Intelligence ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Artificial Intelligence In Education

Principles of induction and approaches to attribute based induction

1991 ◽  
Vol 6 (4) ◽  
pp. 307-333 ◽  
Author(s):  
G. Kalkanis ◽  
G. V. Conroy
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Cognitive Psychology ◽  
Expert Systems ◽  
Basic Principles ◽  
Inductive Approach ◽  
Induction Process

AbstractThis paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.

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