Oleksandr V. Spivakovsky, Serhii A. Omelchuk, Vitaliy V. Kobets, Nataliia V. Valko, Daria S. Malchykova
{"title":"INSTITUTIONAL POLICIES ON ARTIFICIAL INTELLIGENCE IN UNIVERSITY LEARNING, TEACHING AND RESEARCH","authors":"Oleksandr V. Spivakovsky, Serhii A. Omelchuk, Vitaliy V. Kobets, Nataliia V. Valko, Daria S. Malchykova","doi":"10.33407/itlt.v97i5.5395","DOIUrl":null,"url":null,"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 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.","PeriodicalId":45205,"journal":{"name":"Information Technologies and Learning Tools","volume":"47 ","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Technologies and Learning Tools","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33407/itlt.v97i5.5395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 1
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 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.
生成式人工智能正在迅速改变高等教育机构的学生、讲师、研究人员和管理人员的教育过程和科学工作。关于在教育过程和高等教育机构的教育计划中使用人工智能的建议有限且相互矛盾。为了界定人工智能的应用范围,有必要为高等教育机构制定制度政策,这将使学术界能够确定人工智能在教育过程中的适当应用范围,并防止在违反道德规范的领域使用人工智能。本文的目的是利用科尔森州立大学的经验,对高等教育机构在教育、培训和研究中应用人工智能制定制度政策的经验进行总结和系统化。本文介绍了为学生、讲师和研究人员制定的制度政策,以及在科尔森州立大学(Kherson State University)的教育过程和研究中使用人工智能的推荐和不推荐举措。这些制度政策的目的是为非专业专业讲师的参与创造一个现代数字工具的包容性环境,并定义在教育活动的所有科目(参与者)的教育、教学和研究中使用人工智能的框架。这些建议旨在使所有参与者能够创造性地选择教育内容,并通过使用人工智能工具提高教育过程和研究活动的效率。关于生成平台需要进一步研究的问题在于三个主题领域:知识库;透明度和道德;组织和社会的数字化转型。创造一个教育环境,鼓励教育过程中所有参与者的互动和传播数字化转型的积极实践也是相关的。