Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Audiovisual . 2026
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Video - Using AI Technologies and Digital Learning Tools in Professional Education of Master's Students: Neuroscientific Aspects and Educational Innovations

Authors: Serhii Yashchuk; Yuliia Kolisnyk-Humeniuk; Tetiana Shvets; Vasyl Shunkov; Dmytro Kuiavets; Svitlana Gvozdii; Borys Maksymchuk; +1 Authors

Video - Using AI Technologies and Digital Learning Tools in Professional Education of Master's Students: Neuroscientific Aspects and Educational Innovations

Abstract

The importance of this article lies in its focus on a rapidly changing world shaped by technological innovation. In this context, artificial intelligence (AI) and digital learning tools play an increasingly important role in education. Their use is particularly relevant in professional education of postgraduate students, where high standards of quality are combined with the need to develop cognitive flexibility and practical skills. Integrating AI into educational processes supports personalised learning, boosts student motivation, and helps optimise teaching strategies. It also enhances the effectiveness of learning outcome assessments. Intelligent technologies make it possible to create adaptive learning environments that respond to students’ needs, characteristics, and learning styles. At the same time, new challenges are emerging. These include neurobiological concerns about how digital environments affect cognitive processes such as attention, memory, thinking, and motivation. This article aims to provide a comprehensive analysis of the opportunities and risks associated with using AI in the professional education of postgraduate students. Finally, it seeks to explore the neuropsychological effects of digital learning and outline future directions for developing innovative educational practices.

See full paper here: https://brain.edusoft.ro/index.php/brain/article/view/1917

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average