2023
DOI: 10.33407/itlt.v97i5.5395
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Institutional Policies on Artificial Intelligence in University Learning, Teaching and Research

Oleksandr V. Spivakovsky,
Serhii A. Omelchuk,
Vitaliy V. Kobets
et al.

Abstract: Generative artificial intelligence is rapidly transforming the educational process and the scientific work of students, lecturers, researchers and administrators of higher education institutions. There are limited and contradictory recommendations for the use of artificial intelligence in the educational process and in the educational programmes of higher education institutions. To define the scope of AI application, there is a need to develop institutional policies for higher education institutions, which wil… Show more

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Cited by 6 publications
(4 citation statements)
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References 21 publications
(41 reference statements)
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“…Following the adoption of the Recommendation on the Ethics of Artificial Intelligence (UNESCO, 2021), the organization released several important publications, including a Start Guide on the use of AI in Higher Education and a joint UNESCO IESALC Primer for Higher Education Stakeholders (Liu et al, 2023) with specific guidance on how to implement the recommendations in the framework of the UN Sustainable Development Goal 4 (Quality Education). The institutional role of AI in higher education and its implications for universities have been explored by scholars worldwide (Schiff, 2022;Chan, 2023;Spivakovsky et al, 2023). Yet, despite numerous resources for educators regarding using AI tools in classrooms, including blogs, webinars, and instructional guides, practices of different universities vary greatly and guidelines for using AI tools as part of the learning process in formal educational settings are somewhat limited.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Following the adoption of the Recommendation on the Ethics of Artificial Intelligence (UNESCO, 2021), the organization released several important publications, including a Start Guide on the use of AI in Higher Education and a joint UNESCO IESALC Primer for Higher Education Stakeholders (Liu et al, 2023) with specific guidance on how to implement the recommendations in the framework of the UN Sustainable Development Goal 4 (Quality Education). The institutional role of AI in higher education and its implications for universities have been explored by scholars worldwide (Schiff, 2022;Chan, 2023;Spivakovsky et al, 2023). Yet, despite numerous resources for educators regarding using AI tools in classrooms, including blogs, webinars, and instructional guides, practices of different universities vary greatly and guidelines for using AI tools as part of the learning process in formal educational settings are somewhat limited.…”
Section: Literature Reviewmentioning
confidence: 99%
“…O. Spivakovsky, S. Omelchuk, V. Kobets, N. Valko and D. Malchykova consider the impact of AI on the educational process and scientific work of students, teachers, researchers and administrators of higher education institutions, and emphasize the need to develop institutional policies that will allow the academic community to determine the appropriate scope of AI application in the educational process and prevent the use of AI in areas where ethical norms are violated [11].…”
Section: Introductionmentioning
confidence: 99%
“…In the Ukrainian context, the special attention must be paid towards the study of Yuskovych-Zhukovska, Poplavska, Diachenko, Mishenina, Topolnyk, & Gurevych (2022) who explained the main principles of AI application in education and outlined the emerging problems and opportunities. Spivakovsky, Omelchuk, Kobets, Valko, & Malchykova (2023) revealed the institutional policies towards AI in university learning, teaching, and research. The findings show that AI-based tools are widely used within the process of formation of professional competencies at the Ukrainian institutions of higher education (Baranovska et al, 2023;Nosenko et al, 2019).…”
Section: Introductionmentioning
confidence: 99%