Application of Artificial Intelligence in Education. Problems and Opportunities for Sustainable Development

Abstract

The article is devoted to the application of artificial intelligence in education and highlighting opportunities and problems in the context of sustainable development. The current state of introduction of artificial intelligence technologies in the educational process is analyzed. The technologies of artificial intelligence, which are most often used in the educational process are generalized into the following categories: cognitive services; virtual, mixed and augmented reality; Internet of things and peripheral computing; metacognitive scaffolding. The advantages of using the artificial intelligence in educational processes depending on the impact on its beneficiaries are generalized: students, teachers, students’ parents, heads of educational institutions, local governments. It is proved that the learning process can be significantly effective through the use of artificial intelligence technologies and the creation of individual training programs based on the use of analytical data obtained from the application of these technologies. It is found that the main advantage of using artificial intelligence in education is the individualization and personalization of the educational process. The benefits are pointed out which heads of educational institutions and local governments receive from the use of artificial intelligence technologies in the educational process in order to ensure sustainable development, including transparency and accountability of decisions, rational and energy efficient use of resources. Discussion issues of confidentiality and depersonalization of students’ data who are processed by artificial intelligence during the educational process are revealed; it is recommended to differentiate the responsibility for access, storage and use of personal and confidential data by educational institutions. Prospects for further scientific research are outlined - further personalization and individualization of the educational process.

Education in the Age of Artificial Intelligence

“…This process mapped individual student and group models into patterns of users with shared interests or skills [12]. Ukrainian scientists try to predict the final grades of students in higher education using recurrent neural networks [29], [30], [31]. It can be said that artificial intelligence-based programmes provide useful feedback for teachers and students alike.…”

“…They are able to monitor students' performance and, if necessary, alert teachers immediately and in a timely manner about potential learning problems. Last but not least, they help students to select the right courses, based on their strengths [31]. In sum, machine learning can help to make recommendations to students for selecting courses and even universities.…”

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“…An objective examination of the actual effects of AI on administration, teaching, and learning requires pointing out some shortcomings/imperfections and challenges of AI (Yuskovychzhukovska et al, 2022) In 2019, the Committee of Ministers of the Council of Europe adopted a recommendation on education for digital citizenship, in which a key focus was the application of artificial intelligence (AI) in an educational context: "AI, like any other tool, offers many opportunities, but it also brings many threats, making it necessary to consider human rights principles in its early application design. Educators need to be aware of the strengths and weaknesses of AI in learning so that they are empowered -not overpowered -by technology in their digital citizenship educational practices.…”

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“…al, 2012;Park, et. al, 2021;Shriram, 2018;Yuskovych-Zhukovska, et. al, 2022), neural network is an interconnected computer program (Tedesco, 1992;& Whitby, 2003), modelled to achieve set objectives such as customers' needs and wants (Bart, et.…”