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BRAIN. Broad Research in Artificial Intelligence and Neuroscience
Volume: 17 | Issue: 1S | Paper number: 5.
Neuroscientific Foundations of Multimedia Technologies in Vocational Education
Published July 20, 2026
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Iryna Androshchuk -
Khmelnytskyi National University (UA),
Olena Murzina -
Luhansk Taras Shevchenko National University, Lubny City (UA),
Viktor Shakotko -
Oleksandr Dovzhenko Hlukhiv National Pedagogical University (UA),
Vasyl Shunkov -
National Pirogov Memorial Medical University, Vinnytsya (UA),
Liudmyla Shanaieva-Tsymbal -
National University of Life and Environmental Sciences of Ukraine, Kyiv (UA),
Svitlana Yatsiv -
Vasyl Stefanyk Carpathian National University, Ivano-Frankivsk (UA),
Borys Maksymchuk -
Izmail State University of Humanities (UA),
Abstract
This article explores the use of multimedia technologies in vocational education. These technologies support the effective design and implementation of pedagogical content and methods aimed at achieving educational objectives through multimedia hardware, software, and interactive applications. An empirical four-week study involving 60 first-year undergraduate students evaluated an AI-supported multimedia approach using ChatGPT and ELSA Speak within a multisensory learning framework. Compared with conventional multimedia instruction, the AI-supported approach resulted in greater improvements in vocabulary acquisition (28.5% vs. 11.2%), speaking performance (32.2%), student engagement, and emotional intelligence, particularly emotion management. The findings suggest that integrating AI-supported multimedia technologies may enhance learning outcomes, cognitive engagement, and student motivation in vocational education.
Academic discipline and sub-disciplines:
Educational Technology; Vocational Education; Neuroscience
DOI: http://dx.doi.org/10.70594/brain/17.S1/5
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