AI-BASED SOLUTIONS AND J. DEWEY’S PHILOSOPHY IN TRAINING IT STUDENTS

The purpose of this research is to explore the correlation between the teaching of IT students with AI technologies in the modern era and John Dewey’s model of teaching from the recent past. The study employs a combination of descriptive and qualitative research methods to achieve its aim. The Scopus AI resource is used to explore the existing AI technologies. The study found that experiential learning correlates with the use of realistic simulations powered by AI, and that collaborative learning is linked to AI-powered tools. Critical thinking and problem-solving are closely associated with AI-based platforms, and learning by doing is closely tied to AI models. It has also been demonstrated that reflective thinking correlates with AI-driven feedback systems, lifelong learning is linked to AI-powered continuous learning platforms, and self-learning is closely tied to AI chatbots. The following points of intersection were defined: (1) Dewey delineates student-centered learning, which we see when using AI in education (through project-based learning); (2) Dewey's vision of the educational process as a two-way street echoes AI’s ability to provide personalized and individualized education; (3) Dewey supported the idea of lifelong education that mirrors in the availability of AI platforms with a wide range of courses and resources that support lifelong learning and contribute to professional development of IT majors. AI has the potential to individualize instruction, facilitate experiential learning, and promote critical thinking skills among learners. It correlates with Dewey’s beliefs in education as a process of active engagement, which can be relevant to the process of imparting knowledge in the AI era.

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Institutions

Publication Details

Journal
Advanced Education
Published
2025-12-31
DOI
https://doi.org/10.20535/2410-8286.324073
Citations
1
Primary Topic
E-Learning and COVID-19
Type
article
Field-Weighted Citation Impact
8.93

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article

AI-BASED SOLUTIONS AND J. DEWEY’S PHILOSOPHY IN TRAINING IT STUDENTS

Mária Spišiaková, Shumeiko Natalia, Kateryna Osadcha
1 citations
Advanced Education
E-Learning and COVID-19
8.93
article

AI-BASED SOLUTIONS AND J. DEWEY’S PHILOSOPHY IN TRAINING IT STUDENTS

Mária Spišiaková, Shumeiko Natalia, Kateryna Osadcha
article en
1 citations

Abstract

The purpose of this research is to explore the correlation between the teaching of IT students with AI technologies in the modern era and John Dewey’s model of teaching from the recent past. The study employs a combination of descriptive and qualitative research methods to achieve its aim. The Scopus AI resource is used to explore the existing AI technologies. The study found that experiential learning correlates with the use of realistic simulations powered by AI, and that collaborative learning is linked to AI-powered tools. Critical thinking and problem-solving are closely associated with AI-based platforms, and learning by doing is closely tied to AI models. It has also been demonstrated that reflective thinking correlates with AI-driven feedback systems, lifelong learning is linked to AI-powered continuous learning platforms, and self-learning is closely tied to AI chatbots. The following points of intersection were defined: (1) Dewey delineates student-centered learning, which we see when using AI in education (through project-based learning); (2) Dewey's vision of the educational process as a two-way street echoes AI’s ability to provide personalized and individualized education; (3) Dewey supported the idea of lifelong education that mirrors in the availability of AI platforms with a wide range of courses and resources that support lifelong learning and contribute to professional development of IT majors. AI has the potential to individualize instruction, facilitate experiential learning, and promote critical thinking skills among learners. It correlates with Dewey’s beliefs in education as a process of active engagement, which can be relevant to the process of imparting knowledge in the AI era.

Advanced EducationVol. 19(27)
National Academy of Agrarian Sciences of Ukraine (UA), Bratislava University of Economics and Business (SK)
Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR
Quality Education
Openalex Percentile: Top 2%
E-Learning and COVID-19
8.93
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