Analysis of the Emotional State of Students Based on Cognitive Technologies During an Online Class

Authors

DOI:

https://doi.org/10.56059/jl4d.v13i2.1581

Keywords:

emotional state, attention, involvement, blended learning technology, synchronous interaction

Abstract

This study explored students’ emotional responses to different formats of educational content and the use of cognitive technologies during synchronous online learning. It involved 41 second-year Ukrainian undergraduate students in software engineering and examined their emotional states, attention, and engagement. Three content formats were applied during a live online lecture: (1) presentation, (2) discussion, and (3) demonstration and data were analysed using the MorphCast Emotion AI tool for reading expressions and facial features in real-time. Real-time facial expression and emotion data were collected and analysed using MorphCast Emotion AI. The findings revealed that different content formats elicited distinct emotional responses. Notably, they demonstrated that a practice-oriented task produced the highest average level of positive emotions compared to presentation and discussion, indicating the strong emotional and motivational potential of practice-oriented instructional formats in synchronous online learning.

Author Biographies

Olena Hlazunova, National University of Life and Environmental Sciences of Ukraine

Olena Hlazunova is a Doctor of Pedagogical Sciences, Professor, Vice-Rector for Scientific and Pedagogical Work and Digital Transformation of the National University of Life Resources and Environmental Sciences of Ukraine. Her research activities cover the implementation of digital solutions and Artificial Intelligence technologies, strategic technology management, digital transformation of the university, and change management in a dynamic environment. Email: o-glazunova@nubip.edu.ua (https://orcid.org/0000-0002-0136-4936)

Volodymyr Kravchenko, National University of Life and Environmental Sciences of Ukraine

Volodymyr Kravchenko is a Doctor of Economics, Associate Professor, Professor of the Department of Economic Cybernetics of the National University of Life Resources and Environmental Sciences of Ukraine. He is also Deputy Dean for Scientific and Innovative Activities of the Faculty of Information Technologies. His cientific interests are focused on the application of machine learning methods, Artificial Intelligence, and cloud technologies for optimising agribusiness, financial modelling in crisis conditions, and implementing intelligent systems in the educational process. Email: v.kravchenko@nubip.edu.ua (https://orcid.org/0000-0002-8033-3985)

Inna Savytska

Inna Savytska has a PhD in Philosophy and is an Associate Professor, Dean of the Faculty of Humanities and Education at the National University of Life and Environmental Sciences of Ukraine. Her research interests span the evolution from the philosophical understanding of individual freedom to the formation of the modern educational environment, in which Artificial Intelligence and digital technologies serve as means to develop professional competence and strengthen students' national identity. Email: savitskaya@nubip.edu.ua (https://orcid.org/0000-0002-3795-0427)

Valentyna Korolchuk, National University of Life and Environmental Sciences

Valentyna Korolchuk, PhD, is an Associate Professor in the Department of Information Systems and Technologies at the National University of Life and Environmental Sciences of Ukraine. His research interests include the implementation of Agile methodologies and cloud technologies in education, investigating the impact of Artificial Intelligence on students’ learning experiences, and the digital transformation of educational systems management. Email: korolchuk@nubip.edu.ua (https://orcid.org/0000-0002-3145-8802)

Tetiana Voloshyna, National University of Life and Environmental Sciences of Ukraine

Tetiana Voloshyna has a PhD in Pedagogical Sciences, and is an Associate Professor in the Department of Information Systems and Technologies at the National University of Life and Environmental Sciences of Ukraine. Her research interests encompass transformative learning and the design of innovative educational ecosystems based on cloud technologies, the Agile approach and Artificial Intelligence, aimed at developing students’ digital professional competencies and soft skills in the context of digital transformation. Email: t-voloshina@nubip.edu.ua (https://orcid.org/0000-0002-2931-8018)

Taisiia Saiapina, National University of Life and Environmental Sciences

Taisiia Saiapina is an Associate Professor in the Department of Information Systems and Technologies at the National University of Life and Environmental Sciences of Ukraine. His research interests include the digitalisation of economic education, the implementation of microlearning, and the integration of Artificial Intelligence into the educational process to enhance learning effectiveness. Email: t_sayapina@nubip.edu.ua (https://orcid.org/0000-0003-1541-1681)

 

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Published

2026-07-13

How to Cite

Hlazunova, O., Kravchenko, V., Savytska, I., Korolchuk, V., Voloshyna, T., & Saiapina, T. (2026). Analysis of the Emotional State of Students Based on Cognitive Technologies During an Online Class. Journal of Learning for Development, 13(2), 374–386. https://doi.org/10.56059/jl4d.v13i2.1581

Issue

Vol. 13 No. 2 (2026): ISSUE 2

Section

Reports from the Field

License

Copyright (c) 2026 Olena Hlazunova, Volodymyr Kravchenko, Inna Savytska, Valentyna Korolchuk, Tetiana Voloshyna, Taisiia Saiapina

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Received 2024-06-30
Accepted 2026-04-02
Published 2026-07-13