Integration Strategies of Generative AI in Higher Education

Integration Strategies of Generative AI in Higher Education

Pages: 300
DOI: 10.4018/979-8-3693-5518-3
ISBN13: 9798369355183|ISBN13 Softcover: 9798369355190|EISBN13: 9798369355206
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Description & Coverage
Description:

The book attempts to address several questions regarding the integration of generative AI into the higher education system, including the extrapolation of best practices from other educational systems. What are the possibilities of seamlessly integrating generative artificial intelligence into the existing information and educational environment of a university? Is there continuity from "school to university" in the field of educational organization management? How can the integration of generative AI change existing digital solutions in the educational process? Are there methodological differences in the application of generative AI at the level of higher education, professional (tertiary) education, or in the system of preparing highly qualified personnel (graduate studies/doctoral programs)? How do organizational and technological components support the integration of generative artificial intelligence into the higher education system for personnel training? In the rapidly evolving technological landscape, can we look 10, 20, or 30 years ahead and understand what constitutes the quality of personnel training when applying new educational technologies? Is the idea of anticipatory development of generative artificial intelligence applicable in education, what are the criteria for the effectiveness of implementing artificial intelligence technologies considering the specifics of personnel training in a given field, are there any limitations within narrowly specialized professional standards? How can a university determine its technological and organizational readiness for the integration of generative AI into the educational process? What supportive directions in the field of regulatory activities are necessary from policymakers (with examples from various countries/comparative studies)? Is it necessary to conduct integration at the level of pilot projects? What will be the criteria for effectiveness in implementing generative artificial intelligence educational programs? What additional competencies arise at the level of university management, among the faculty, when integrating generative artificial intelligence into the educational process? What are the successful development and integration cases of requirements for elements of the university's information and educational environment implementing training based on the application of generative artificial intelligence? How to prepare an effective dataset that allows the integration of generative artificial intelligence into the university's educational process? Are special requirements needed to standardize the means and elements of the information system used in the university when integrating generative artificial intelligence into specialist training in higher education? What are the key indicators of effectiveness when integrating generative artificial intelligence into the university's educational process for specialist training? What are the main trends in the development of the university's educational environment and digital solutions in the context of integrating generative artificial intelligence into the educational process? We will discuss whether there is a universal tool - an "ideal recipe" for integrating generative AI for training specialists of various qualifications.

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Editor/Author Biographies
Anna Arinushkina is a doctor of Pedagogical Sciences, Leading Scientific Associate of the Training and Research Laboratory for the Development of Gender Education in the Faculty of Educational Studies of the Lomonosov Moscow State University; Deputy editor-in-chief of “Lomonosov Pedagogical Education Journal” (MSU Publishing House), Editor-in-Chief of the journal “Pedagogy and Education”; a member of the editorial boards of journals “Modern Education,” “Education Management,” and “Pedagogical Informatics.” Her scientific interests include management in general education system, ungraded educational organizations, quality of education, and monitoring research in education and big data.
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