Educational trends and technologies 4.0. Digitalization of education: persondeveloped concept

2020 ◽  
pp. 66-70
Author(s):  
D.V. Lukashenko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Acquisition ◽  
Cognitive Processing ◽  
Education System ◽  
Personality Development ◽  
Educational Environment ◽  
Technology In Education ◽  
Digital Environment ◽  
Image Models ◽  
The Individual

Presented are stages of transformation of the education system, based on the criterion of technological representation and knowledge acquisition. Features of transformation of the education system in accordance with change in technology in education through acquisition of knowledge by subjects on the basis of technologies implemented in education are examined. Four stages are distinguished, and the last one related to integration of artificial intelligence in the educational environment in direction of development of Education 4.0 is considered in more detail. The concept of person-develop of personality in digital environment, based on cognitive processing of information by a person is presented. Feature of the person-develop concept allows to replace progressive receipt of information by a person in development of person in direction of relevance and individuality of receiving information, forming an attractor of development. Necessity of using the concept of an attractor instead of a trajectory, that allows one to consider multi-dimensionality and variability of personality development in digital environment, is substantiated. The basis for implementation of the concept of person-develop is the concept of content, sliding across the information space. This concept considers development of personality in digital environment through formation of trans-disciplinarity of consumed content. Content-slide is presented as an attractor of personality development, associated with deviations, that occur during the analysis and assimilation of content. Due to the content slide, personality sets an individual direction of his development in information developing space. The article considers the direction of integration into information developing space of artificial intelligence, that will transform the content, consumed by the individual into image models, corresponding to the cognitive orientation of personality for its productive analysis and assimilation.

VALUE EDUCATION SYSTEM IN INDIA

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Jyoti Narayan Patra ◽  
Jayanta Mete
Keyword(s):  
Education System ◽  
Personality Development ◽  
The Family ◽  
The Individual ◽  
The Right

Values are like seeds that sprout, become saplings, grow into trees and spread their branches all around. To be able to think right, to feel the right kind of emotions and to act in the desirable manner are the prime phases of personality development. Building up of values system starts with the individual, moves on to the family and community, reorienting systems, structures and institutions, spreading throughout the land and ultimately embracing the planet as a whole. The culture of inclusivity is particularly relevant and important in the context of our society, nation and making education a right for all children.

scholarly journals SUPPORT OF SELF-EDUCATION IN A DISTANCE RETRAINING PROGRAM OF TUTORS

2020 ◽  
Vol 14 (4) ◽  
pp. 719-728
Author(s):  
T. A. Klimova ◽  
Keyword(s):  
Educational Environment ◽  
Educational Process ◽  
The Self ◽  
Self Determination ◽  
Educational Activity ◽  
Self Organization ◽  
Digital Environment ◽  
The Individual ◽  
Restrictive Measures

Introduction. The paper addresses the issue of support of the students involved in a fully online retraining program, which imposes special requirements on the development of the self-education ability. The study aims to establish the conditions for organizing the support of self-education in a digital educational environment. Materials and methods. The study relies on the methodology proposed by G.N. Prozumentova for reconstructing the innovative experience to analyze the reflexive text materials of the Logbook of students of the retraining program; to identify the points of stress, misunderstanding, breaks, and transitions during training; and make an analytical generalization. Results of the study. Categories of difficulties encountered by students of the program in their self-educational activity were identified, and the conditions necessary to support self-education were established. These are points of self-determination, professional trials, points of reflection, and individual educational route. Conclusion. In the context of restrictive measures during the pandemic and the transition to the online educational process, self-skills related to self-education, i.e., self-organization, independence, and self-determination, become essential. These competences are an indispensable part of the work of a tutor. However, before the tutor can support someone, they need to build these self skills themselves. The established conditions in the retraining programs will facilitate this process. At the same time, additional studies are required to reveal in more detail the individual progress of a person under these conditions for building a model for supporting the development of self-education ability, and to determine the methods for tutors to provide the support of this progress. Keywords. Self-education, self-determination, individual educational route, professional retraining, tutor, digital environment, self skills.

scholarly journals Strategic guidelines for designing and implementing university students’ customized educational itinerary on the basis of artificial intelligence

2020 ◽  
Vol 9 (2) ◽  
pp. 294-299
Author(s):  
Aleksandr A. Fedorov ◽  
Anna O. Budarina ◽  
Ksenia L. Polupan ◽  
Dmitriy G. Zhitinevich
Keyword(s):  
Artificial Intelligence ◽  
Learning Outcomes ◽  
Educational Process ◽  
Educational Standards ◽  
Digital Environment ◽  
New Approach ◽  
Self Development ◽  
Innovative Model ◽  
Artificial Intelligence Technology ◽  
The Individual

The study presents a new approach to building an educational program of higher education, taking into account the individual capabilities and characteristics of the students personality. The modern digital environment is changing the nature of the interaction between participants in the educational process and puts forward the requirement for the design of new educational standards, polyprogrammes and learning outcomes. An innovative model of designing and implementing a customized educational itinerary based on the integration with artificial intelligence technology is presented. It is aimed at the forward-looking development and the self-development of the student. Philosophical and pedagogical implications of conditioning the polyfurcation field of the students activity as the basis for organizing an individual educational process are substantiated. The idea of constructing an educational route in the context of individualization of the education system is underpinned by the concept of a customized educational itinerary, which is considered from two perspectives, being the changes in the educational process in the digital educational environment, and the changes in the interaction paradigm of the student and other educational actors involved. The mechanism for introducing elements of artificial intelligence for the effective construction and implementation of a customized educational route is briefly canvassed.

A Human/Computer Learning Network to Improve Biodiversity Conservation and Research

AI Magazine ◽  
2012 ◽  
Vol 34 (1) ◽  
pp. 10 ◽  
Author(s):  
Steve Kelling ◽  
Jeff Gerbracht ◽  
Daniel Fink ◽  
Carl Lagoze ◽  
Weng-Keen Wong ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Feedback Loop ◽  
Human Computation ◽  
Computational Power ◽  
Learning Networks ◽  
Learning Network ◽  
Computer Learning ◽  
The Individual ◽  
Citizen Science Project

In this paper we describe eBird, a citizen-science project that takes advantage of the human observational capacity to identify birds to species, which is then used to accurately represent patterns of bird occurrences across broad spatial and temporal extents. eBird employs artificial intelligence techniques such as machine learning to improve data quality by taking advantage of the synergies between human computation and mechanical computation. We call this a Human-Computer Learning Network, whose core is an active learning feedback loop between humans and machines that dramatically improves the quality of both, and thereby continually improves the effectiveness of the network as a whole. In this paper we explore how Human-Computer Learning Networks can leverage the contributions of a broad recruitment of human observers and processes their contributed data with Artificial Intelligence algorithms leading to a computational power that far exceeds the sum of the individual parts.

scholarly journals Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps identification using text mining

2021 ◽  
pp. 1-13
Author(s):  
Lamiae Benhayoun ◽  
Daniel Lang
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Text Mining ◽  
Natural Language ◽  
Language Processing ◽  
Academic Training ◽  
Market Requirements ◽  
Job Advertisements ◽  
The Individual

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.

Applications of Web-QFD and E-Delphi method in the higher education system

2004 ◽  
Vol 23 (4) ◽  
pp. 245-256
Author(s):  
Shun-Hsing Chen ◽  
Ching-Chow Yang
Keyword(s):  
Education System ◽  
Delphi Method ◽  
Quality Function Deployment ◽  
Decision Makers ◽  
The Internet ◽  
Total Quality ◽  
Web Based ◽  
Team Members ◽  
Higher Education System ◽  
The Individual

Quality function deployment (QFD) is an essential tool in implementing total quality management (TQM). This study applies a Web-QFD approach using group decision-making analysis in the Web environment to reduce the complicated data collection, aggregation and analysis processes. A Web-based questionnaire is designed by using an active service pages (ASP) involving the Internet relay chat (IRC) technique and the Delphi method with Internet (E-Delphi) to determine the importance degree of the customers' requirements. However, the traditional Delphi method is time-consuming mission. This study applies the proposed Web-QFD approach to efficiently gather the individual opinions of each team member, the requirements that are critical for customers, and then enables decision makers to accurately assess the priorities of these requirements. An empirical example of an education system in Taiwan is employed to demonstrate the practicability of the proposed Web-QFD model. This real world example involves team members communicating easily and quickly with other experts in the team through the Internet to accelerate the reaching of a consensus among multiple decision makers regardless of where their location. Customers' requirements can be rapidly prioritized based on the assessment results.

A Process Approach to Educational Systems Design

1973 ◽  
Vol 1 (3) ◽  
pp. 185-204
Author(s):  
Donald W. Meals
Keyword(s):  
Educational Technology ◽  
Education System ◽  
Iterative Process ◽  
Systems Design ◽  
Educational Environment ◽  
Process Approach ◽  
Educational Systems ◽  
Dynamic Quality ◽  
Technology Systems

An examination of the steps in systems design reveals it to be an iterative process. The complexity and dynamic quality of the educational environment require designers of educational technology systems to emphasize this process and at the same time take into account conditions within the education system and the community that provide essential data. Examples of attempts to cope with these features of the design processes are presented along with implications for changes in the approach to the design of educational technology systems.

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