National Strategy of Information Society in the Realities of Ukraine

Shust, Nataliia; Semen, Nataliia; Bilohrats, Khrystyna; Ivanytska, Bozhena; Pavlyshyn, Nataliia; Hotsur, Oksana

doi:10.18662/brain/14.2/453

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…Extensive opportunities of the use of AI in education are to change the educational process and make it more innovative, inclusive, efficient and effective through the introduction of new high-quality learning methods. And the real goal of AI in education concerns individualization of education, building students' personalised learning trajectories according to their strengths and weaknesses, and adaptation of didactic materials to interior and exterior conditions of educational process (Drach et al, 2023;Shust et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Innovative Methodologies and Approaches to Teaching with Artificial Intelligence in Ukrainian Higher Education

2024

FeD

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The aim of the research was to evaluate innovative methodology and approaches to teaching with AI in Ukrainian higher education and to outline the effective delivery practices. The research objectives were to explain AI-based teaching approaches and methods used in the Ukrainian institutions of higher education, to find the most effective teaching approaches and methods in the system of training of future specialists, and to develop the methodological recommendations for instructors involved in the training of future AI experts. Within the framework of the given research, a number of pedagogical articles and key documents devoted to the analysis of used artificial intelligence in teaching, and implementation of AI-based methodology were studied . Over 50 scientific that were published during the recent five years to understand the problem and to evaluate the improvements brought by AI were selected. A mixed methodology that combined descriptive, association, and intervention methods was applied. Descriptive methods included literature review, narrative, content analysis of educational and professional programs, as well as the phenomenological approach. Associational methods included predictive analysis aimed at forecasting of the probability of innovative methodology and approaches that impact the AI education. The intervention suggested using a survey and an assessment. The research included 42 instructors of Ukrainian institutions of higher education that were involved in the training of future AI experts. They represented graduating departments that were responsible for the development of educational and professional program, formulated the training objectives, and designed the conceptual framework for the creation of innovative educational environment with the use of AI. The research resulted in the development of methodical recommendations on using teaching methods and approaches in AI-powered higher education. The recommendations can be suggested by instructors at higher education institutions that are involved specifically in training future AI experts . Also, the recommendations are applicable for scientific and pedagogical stuff working on digitalisation of educational process.

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Section: Introductionmentioning

confidence: 99%

Innovative Methodologies and Approaches to Teaching with Artificial Intelligence in Ukrainian Higher Education

2024

FeD

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Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

Walter

2024

Discov Artif Intell

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This paper delves into the complexities of global AI regulation and governance, emphasizing the socio-economic repercussions of rapid AI development. It scrutinizes the challenges in creating effective governance structures amidst the AI race, considering diverse global perspectives and policies. The discourse moves beyond specific corporate examples, addressing broader implications and sector-wide impacts of AI on employment, truth discernment, and democratic stability. The analysis focuses on contrasting regulatory approaches across key regions—the United States, European Union, Asia, Africa, and the Americas and thus highlighting the variations and commonalities in strategies and implementations. This comparative study reveals the intricacies and hurdles in formulating a cohesive global policy for AI regulation. Central to the paper is the examination of the dynamic between rapid AI innovation and the slower pace of regulatory and ethical standard-setting. It critically evaluates the advantages and drawbacks of shifting regulatory responsibilities between government bodies and the private sector. In response to these challenges, the discussion proposes an innovative and integrated regulatory model. The model advocates for a collaborative network that blends governmental authority with industry expertise, aiming to establish adaptive, responsive regulations (called “dynamic laws”) that can evolve with technological advancements. The novel approach aims to bridge the gap between rapid AI advancements in the industry and the essential democratic processes of law-making.

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National Strategy of Information Society in the Realities of Ukraine

Cited by 2 publications

References 20 publications

Innovative Methodologies and Approaches to Teaching with Artificial Intelligence in Ukrainian Higher Education

Innovative Methodologies and Approaches to Teaching with Artificial Intelligence in Ukrainian Higher Education

Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences

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