Using AI-based tool MorphCast to improve student attention аnd engagement in asynchronous learning

- Hlazunova, Olena (orcid.org/0000-0002-0136-4936), Korolchuk, Valentina (orcid.org/0000-0002-3145-8802), Voloshyna, Tetiana (orcid.org/0000-0001-6020-5233), Saiapina, Taiisia (orcid.org/0000-0001-9905-4268) and Kravchenko, Volodymyr (orcid.org/0000-0002-8033-3985) (2025) Using AI-based tool MorphCast to improve student attention аnd engagement in asynchronous learning Information Technologies and Learning Tools, 3 (107). pp. 106-119. ISSN 2076-8184

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Abstract

With online education's growing popularity, the quality assurance of the student learning process at a higher education institution has become particularly relevant. One of the key aspects of successful and effective online learning is maintaining a high level of student attention and engagement during various learning activities. This article explores the potential of exploring the possibilities of artificial intelligence (AI)-based tools to increase students' attention and engagement during asynchronous learning, namely by watching a video developed and integrated by the teacher into the e-learning course resources. In particular, the possibility of using the MorphCast AI tool to optimise pedagogical strategies in higher education to provide personalised feedback on students' attention levels and engagement during asynchronous learning. MorphCast AI, using artificial intelligence algorithms, analyses student behavioural data and provides teachers with valuable insights, such as emotional analytics, to improve the learning process. Such data allows teachers to promptly detect the general dynamics of decreasing student attention and engagement, as well as individual students who have particular difficulties with the perception of educational content, and provide them with personal support. The study was conducted as part of the academic practice in Information Technology for 1st-year students with a bachelor’s degree in information technology, specialising in Software Engineering, Computer Science, Computer Engineering, Cybersecurity, Information Protection, Information Systems, and Technologies. As a result, it was concluded that the integration of MorphCast AI allows taking into account the emotional state of students, their attention and engagement in the learning process, providing a more individualised and adaptive educational experience for participants in the educational process.

Item Type:	Article
Keywords:	emotional state; attention; engagement; emotional analytics; MorphCast AI service; learning management systems (LMS)
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.02 General questions of didactics and method Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.09 Organization of instruction Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Generic resouse
Depositing User:	Алла 1 Алла Почтарьова
Date Deposited:	22 Sep 2025 09:49
Last Modified:	22 Sep 2025 09:49
URI:	https://lib.iitta.gov.ua/id/eprint/746644

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