INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH

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 educa...

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Main Authors: Oleksandr V. Spivakovsky, Serhii A. Omelchuk, Vitaliy V. Kobets, Nataliia V. Valko, Daria S. Malchykova
Format: Article
Language:English
Published: Institute for Digitalisation of Education of the NAES of Ukraine 2023-10-01
Series:Інформаційні технології і засоби навчання
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Online Access:https://journal.iitta.gov.ua/index.php/itlt/article/view/5395
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author Oleksandr V. Spivakovsky
Serhii A. Omelchuk
Vitaliy V. Kobets
Nataliia V. Valko
Daria S. Malchykova
author_facet Oleksandr V. Spivakovsky
Serhii A. Omelchuk
Vitaliy V. Kobets
Nataliia V. Valko
Daria S. Malchykova
author_sort Oleksandr V. Spivakovsky
collection DOAJ
description 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 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. The purpose of the article is to summarise and systematise the experience of forming institutional policies for the application of artificial intelligence in education, training and research in higher education institutions using the experience of Kherson State University. The article presents the developed institutional policies for students, lecturers and researchers with recommended and not recommended initiatives for the use of AI in the educational process and research at Kherson State University. The purpose of these institutional policies was to create an inclusive environment of modern digital tools for involving of lecturers of non-professional specialties and define the framework for the use of artificial intelligence in education, teaching, and research of all subjects (participants) of educational activity. The recommendations are aimed at empowering all participants to select educational components creatively and at improving the efficiency of the educational process and research activities through the use of AI tools. Issues requiring further research regarding generative platforms lie in three thematic areas: knowledge base; transparency and ethics; digital transformation of organizations and societies. It is also relevant to create an educational environment that encourages the interaction and dissemination of positive practice of digital transformation of all participants of the educational process.
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publisher Institute for Digitalisation of Education of the NAES of Ukraine
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series Інформаційні технології і засоби навчання
spelling doaj-art-5f6983764c2a47e9a23f1b502acd4e152025-02-09T08:37:31ZengInstitute for Digitalisation of Education of the NAES of UkraineІнформаційні технології і засоби навчання2076-81842023-10-0197510.33407/itlt.v97i5.5395INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCHOleksandr V. Spivakovsky0https://orcid.org/0000-0001-7574-4133Serhii A. Omelchuk1https://orcid.org/0000-0002-0323-7922Vitaliy V. Kobets2https://orcid.org/0000-0002-4386-4103Nataliia V. Valko3https://orcid.org/0000-0003-0720-3217Daria S. Malchykova4https://orcid.org/0000-0002-7197-8722Kherson State UniversityKherson State UniversityKherson State UniversityKherson State UniversityKherson State University 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 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. The purpose of the article is to summarise and systematise the experience of forming institutional policies for the application of artificial intelligence in education, training and research in higher education institutions using the experience of Kherson State University. The article presents the developed institutional policies for students, lecturers and researchers with recommended and not recommended initiatives for the use of AI in the educational process and research at Kherson State University. The purpose of these institutional policies was to create an inclusive environment of modern digital tools for involving of lecturers of non-professional specialties and define the framework for the use of artificial intelligence in education, teaching, and research of all subjects (participants) of educational activity. The recommendations are aimed at empowering all participants to select educational components creatively and at improving the efficiency of the educational process and research activities through the use of AI tools. Issues requiring further research regarding generative platforms lie in three thematic areas: knowledge base; transparency and ethics; digital transformation of organizations and societies. It is also relevant to create an educational environment that encourages the interaction and dissemination of positive practice of digital transformation of all participants of the educational process. https://journal.iitta.gov.ua/index.php/itlt/article/view/5395artificial intelligencehigher education institutesacademic policyeducational processresearch activities
spellingShingle Oleksandr V. Spivakovsky
Serhii A. Omelchuk
Vitaliy V. Kobets
Nataliia V. Valko
Daria S. Malchykova
INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
Інформаційні технології і засоби навчання
artificial intelligence
higher education institutes
academic policy
educational process
research activities
title INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
title_full INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
title_fullStr INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
title_full_unstemmed INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
title_short INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH
title_sort institutional policies on artificial intelligence in university learning teaching and research
topic artificial intelligence
higher education institutes
academic policy
educational process
research activities
url https://journal.iitta.gov.ua/index.php/itlt/article/view/5395
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AT vitaliyvkobets institutionalpoliciesonartificialintelligenceinuniversitylearningteachingandresearch
AT nataliiavvalko institutionalpoliciesonartificialintelligenceinuniversitylearningteachingandresearch
AT dariasmalchykova institutionalpoliciesonartificialintelligenceinuniversitylearningteachingandresearch