The role of artificial intelligence in personalisation of the learning process

Autores

DOI:

https://doi.org/10.29276/redapeci.2024.24.320987.152-165

Resumo

The study aims to empirically test the role of artificial intelligence in personalising student learning through surveys, quantitative and qualitative data analysis, and modelling. To determine the role of artificial intelligence in personalising the educational process, a survey of students was conducted on the organisation of the educational process using artificial intelligence (format, form of education, educational environment, consulting communication tools, motives). Based on the preferences and requests of students, an experimental programme of personalised learning was generated and tested. The participants of the educational process were asked to evaluate the role of artificial intelligence in personalising learning by the following criteria: motivation to learn, level of educational outcomes, productivity of communication in the teacher-student system, convenience and accessibility of education. Most participants in the educational process noted the positive impact of the experimental personalised learning programme developed using artificial intelligence based on their requests due to its convenience and accessibility, as well as the productivity of communication in the teacher-student system. The study's results can be used in the educational process of higher education institutions of other profiles. The prospect of research is to develop recommendations for using artificial intelligence tools to prepare personalised learning programmes in higher education.

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Biografia do Autor

Valerii Hrytsenko, Bohdan Khmelnytsky National University of Cherkasy

Doctor of Pedagogical Sciences, Professor of the Department of Automation and Computer-Integrated Technologies, Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine

Anna Tkachenko, Bohdan Khmelnytsky National University of Cherkasy

Associate Professor, Director of the Educational and Research Institute of Information and Educational Technologies, Physics Department, Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine.

Oksana Podolyan, Bohdan Khmelnytsky National University of Cherkasy

Associate Professor of the Department of Automation and Computer-Integrated Technologies, Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine.

Kostiantyn Dieiev, Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine.

Senior Lecturer of the Department of Automation and Computer-Integrated Technologies, Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine.

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Publicado

2024-12-02