Artificial Intelligence in Education

2020 ◽  
Vol 8 (3) ◽  
pp. 49-56
Author(s):  
Vassya Likova-Arsenova

The article examines the impact of Information Technology (IT) and Artificial Intelligence (AI) in education, the joint design of working with high technology and the need for effective policy development. The use of AI in education is an important topic for teachers from both a conceptual and a practical point of view. Ethical challenges in the training and working with AI are on the agenda. It is necessary to adapt the educational programs for future pedagogues in regards to implementing AI in teaching and training.

Author(s):  
AJung Moon ◽  
Shalaleh Rismani ◽  
H. F. Machiel Van der Loos

Abstract Purpose of Review To summarize the set of roboethics issues that uniquely arise due to the corporeality and physical interaction modalities afforded by robots, irrespective of the degree of artificial intelligence present in the system. Recent Findings One of the recent trends in the discussion of ethics of emerging technologies has been the treatment of roboethics issues as those of “embodied AI,” a subset of AI ethics. In contrast to AI, however, robots leverage human’s natural tendency to be influenced by our physical environment. Recent work in human-robot interaction highlights the impact a robot’s presence, capacity to touch, and move in our physical environment has on people, and helping to articulate the ethical issues particular to the design of interactive robotic systems. Summary The corporeality of interactive robots poses unique sets of ethical challenges. These issues should be considered in the design irrespective of and in addition to the ethics of artificial intelligence implemented in them.


2020 ◽  
Vol 9 (02) ◽  
pp. 197-211
Author(s):  
Anna Rozentsvaig ◽  
R. A. Vdovin

The article deals with some directions of the research and educational policy development. The correlation of approaches to the development of the strategic academic leadership program and the world-class research and educational centers establishing, centers of competence development is analyzed. Engineering knowledge and technology are at the heart of the modern economy. Engineering methods, approaches, and technologies have permeated medicine, biology, agriculture, chemistry, and the development of new materials. Understanding the directions of technological development determines the prospects for creating and using new products. further development of the issue related to the introduction of artificial intelligence technologies in the engine-building industry from the point of view of legal regulation will allow to consolidate the official legal status of such technologies at the legal level and regulate the algorithm and delimit the use of artificial intelligence technologies. The analysis of responses to the big challenges of scientific and technological development and the exhaustion of economic growth opportunities, the formation of the digital economy and the risks of reducing human resources. The development of international accreditation procedures is proposed. Keywords: Research; Education: Research and educational center: Competence development center; Artificial intelligence technologies: International accreditation.


Author(s):  
sam cook ◽  
Louise Allen

In the decades since the Security Council adopted its first resolution on Women, Peace and Security this thematic policy area has both expanded and deepened. Although there are key institutional and geo-political continuities to be traced here, the contours of the space into which WPS policy now emerges has also shifted profoundly. Emerging out of a conversation between two former NGO policy advocates this article explores some of these continuities and changes. With a combined experience spanning 15 years of the WPS Agenda at the UN’s Headquarters in New York, Louise Allen (NGO Working Group Executive Director 2014-2018) and Sam Cook (WILPF, PeaceWomen Project Director, 2005-2010) reflect on and weave together a range of concerns: the significance and ethical challenges of the Council’s behind-the-scenes politics; the shifting role of NGOs in relation to WPS policy development; the impact of advances in communication technology; and perhaps most cogently for ongoing political efforts, the challenges and rewards of working in feminist coalition and toward a shared feminist future.


TECHNOLOGOS ◽  
2020 ◽  
pp. 40-55
Author(s):  
Alekseeva Ekaterina

The article is devoted to the urgent problem – the prospect of partial or complete substitution of teachers for artificial intelligence. With the progress of technologies related to the artificial intelligent systems development the reality of such substitution is estimated as increasing one. At the same time, even the potential substitution of human teachers for artificial intelligence and robotics raises zillion of questions which should be considered from different points of view: cognitive, social, technological, etc. The philosophical perspective provides a reflective integration of these points of view. The most prominent contemporary projects of using artificial intelligence in education have been revealed in the article. The types of intelligent systems used in education are systematized. It is shown that all of them have a different degree of anthropology. Primarily cognitive aspects of the problem of artificial intelligence in education have been considered in the article. The connection of ideas about the possibility of teachers’ substitution for the artificial systems with various approaches to understanding the key principles of education and training is investigated. At the same time, there is a socially critical approach showing that the substitution of teachers for the artificial intellectual systems is a component of cognitive capitalism. The author of the article proposes to reformulate the problem and consider the use of artificial intelligence in education not as a substitutional but as a supplementing technology. This means that artificial systems assume certain functions working in symbiosis with a human teacher and partly playing the role of a tutor. Using the actor-network theory and the ontology of assemblages, referring to the cyberand xenofeminist interpretation of the concept of "cyborg" the author shows that the teacher together with the artificial intelligence can form a human-machine system. In this case artificial intelligence shows emancipation potential but not alienating one.


2018 ◽  
Vol 7 (3.14) ◽  
pp. 347
Author(s):  
Mikhail Leizerovich Krichevsky ◽  
Svetlana Vladimirovna Dmitrieva ◽  
Julia Anatolevna Martynova

The instruments of artificial intelligence (AI) that can be used in management of high technology production and training students are considered. Specific differences and characteristics of high technology production (HTP) that set certain requirements for such production management are specified. Brief information from the AI methods that include artificial neural networks, fuzzy logic, genetic algorithms and their combinations are given. It is indicated that there is a relation between the level of training masters and the requirements of modern productions. The necessity to use techniques and methods of AI when training students to form their competencies, knowledge and skills that comply with the HTP is explained. The techniques of using AI instruments in the educational process focused on the practical importance of the tasks being solved in such disciplines as HR management, risk management, strategic management, etc. are shown.  


2019 ◽  
Vol 11 (1) ◽  
pp. 93-99
Author(s):  
Margot Zanetti ◽  
Giulia Iseppi ◽  
Francesco Peluso Cassese

Abstract This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can “deviate” and become potentially malicious, due to programmers’ biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the educational environment, it seemed necessary to investigate when and how an AI in education could deviate. We started with an investigation of AI and the risks it poses, wondering if they could be applied also to educative AI. We then reviewed the increasing literature that deals with the use of technology in the classroom, and the criticism about it, referring to specific use cases. Finally, as a result, the authors formulate questions and suggestions for further research, to bridge conceptual gaps underlined by lack of research.


2017 ◽  
Vol 5 (325) ◽  
Author(s):  
Józef Dziechciarz

The level of awareness and acceptance of the need to enhance volume and intensity of investment in education and in-house training is increasing. This phenomenon stems from the following facts: the aging of the European societies; an intense technological and organizational progress; and a noticeable process of extension of the scope and length of professional and personal development and activity; accompanied with employees' expectations for better quality of life. The increase in the level of acceptance of the need for increased investment in education and training of employees is accompanied by new challenges, including, in the first place, the need to redefine the approach to investment in training and to the evaluation of its results. The „High-Efficiency‟ point of view, alongside the assessment of the advisability of investment in education and training within a company, raises the need to move away from the traditional system of input oriented financing (i.e. financing resources) and to move towards output oriented funding (i.e. financing results). In other words, instead of paying for teaching, companies want to pay for teaching results. This means that the companies which finance education and training, rise - in the process of assessing the training results – fundamental questions about the improvement of the efficiency of the company; and how an increase in the qualifications of workers facilitates the achievement of organizational objectives. On the other hand, the training results assessment from the participant‟s point of view includes a question about the efficiency of the supplier of educational and training programs, and whether the supplier is able to achieve the promised results. The existing business reality is that the efficiency and effectiveness assessments often do not go beyond the survey measuring the level of satisfaction and self-esteem of the participants. This, in turn, causes a visible quantitative pressures, accompanied by insufficient care for quality and inability to use modern techniques to measure the impact of education and training on business performance. As a result, many entrepreneurs treat the investment in training and education of their employees solely as an expense and a disruption of operations. This is due to the fact that managers do not see a direct effect of the investments on the performance of the company. In addition, managers fear possible hazards in the form of expense claims; loss of trained personel to competitors‟ companies, or excessive self-empowerment of the employee. The study is devoted to presentation and discussion of modern techniques measuring the effectiveness of investment in education and training. The list of methods includes an analysis based on objectives, the targeted evaluation, systemic evaluation, judicial evaluation, and assessment prior to the program.


2020 ◽  
pp. 198-206
Author(s):  
Henrik Køhler Simonsen ◽  
José Manuel Emiliano Bidarra de Almeida

Artificial Intelligence in Education (AIED) may be described as the next big disruptor in higher education, however, AIED still only remains “evidence of a potential” Balslev (2020). Practical experience with AI in higher education is very limited and potential pedagogical applications of AI has so far not been given much attention. The objective of this paper is to analyse and discuss concrete applications of AI to support different learning activities in higher education using the ABC Learning Design approach Young and Perovic (2016). The purpose of the paper is to contribute to research in the practical use of AI in higher education by presenting the AI Pedagogy Planner and to start the important theoretical discussion of AI applications from a pedagogical point of view. The paper is based on empirical data from nine selected cases of AI use in higher education in Portugal, the United Kingdom and Denmark, respectively. The analysis demonstrated that there is a need for new views on the pedagogical use of AI in higher education. However, the paper goes further and outlines an AI Pedagogy Planner combining six overall learning activities with eight types of AI applications.


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