Page 16 - IJSA, Vol. 7, No 1, 2024

International Journal of Science Annals, Vol. 7, No. 1, 2024
рrint ISSN: 2617-2682; online ISSN: 2707-3637; DOI:10.26697/ijsa

The results show that there is a positive correlation Examining global trends in the use of AI and their
between hybrid learning and the use of AI chatbots implications for changing educational paradigms
among students and faculty. highlights the role of collaboration and partnership in
The results of our study, and the willingness of students fostering innovation that, by setting new quality
to use AI chatbots in their education, are consistent with standards, stimulates the evolution of higher education
research on trends in the potential application of AI- (Aithal & Maiya, 2023).
based robots in higher education. Research shows that With the advent of AI, the modern world has begun to
students are ready to use them in their education change rapidly. And it is highly likely that the new
(AlGerafi et al., 2023). This, in turn, is a signal to Human-AI system will radically change the rules of
university administrators. They should pay attention to student education in universities (Melnyk & Pypenko,
the social demands of today’s youth. 2023).
A key benefit of using AI in higher education is its In our view, the main problem with using AI in learning
ability to drive efficiency, personalisation and and teaching in higher education is getting the result
optimisation of administrative processes (Al Husseiny, without any human effort. We have presented a model
2023). of stakeholder behaviour in Figure 4.
Figure 4
A Model of Stakeholder Behaviour Describing two Options for Problem Solving: With and Without the Use of Artificial
Intelligence

The model developed shows that stakeholders can use the interaction remains unresolved. It still requires the
following options to achieve their objectives. development, ratification and implementation of laws
The first option involves personal effort on the part of the governing the norms of interaction and relationships
stakeholder, using all available knowledge, skills, between humans and AI (Pypenko, 2023).
competencies and experience to achieve a result. We believe that it is premature to declare a predominantly
The second option involves the use of AI to achieve a positive role for AI in higher education, given the current
result without any personal effort on the part of the stage of AI development, the extent of its prevalence in
stakeholder. higher education, and the lack of research on the subject.
Interviewing students in the study revealed that they are What is clear, however, is the revolutionary impact of AI
actively using the help of AI chatbots in their studies, on higher education.
because it is personalised and delivers results in the Our research (questionnaires and interviews) showed that
shortest possible time. As a result, students are AI implementations at the institutional level were more
increasingly using AI chatbots to complete academic likely to be initiated and implemented by students and
tasks. These activities increase the risk of students faculty than by university administrators. Possible
dropping out or experiencing academic difficulties. reasons for this are the need and the lack of readiness of
In our view, AI tools can be useful for analysing administrations to upgrade the existing technological
information, searching and framing literature, and even infrastructure of universities, and to introduce specialised
to some extent for generating ideas. courses for students and to organise professional
However, rewriting (copying) the text generated by AI development courses for faculty in the field of AI.
chatbots is not sufficient to fulfil the curriculum and is
against ethical principles. In addition, search engines and Conclusions
plagiarism detection systems may consider such text to New generative artificial intelligence technologies are
be duplicate content. This can have negative rapidly gaining popularity and have already become an
consequences for higher education stakeholders. integral part of the higher education industry. The new
As we can see from the results of our survey, one of the Human-AI system is fundamentally changing the rules of
most common ways to avoid duplicating or borrowing student education at universities.
other people’s work, and to make the result more AI tools can be useful for information analysis, literature
original, is to edit the text generated by the AI. This searches and framing, and even to some extent for idea
tendency is more pronounced among students (68.0%) generation. However, rewriting text generated by AI
and less pronounced among faculty (37.9%). chatbots may not be enough to produce high-quality
It is possible that the use of AI chatbots by students and original work. It is also in conflict with the ethical
faculty, followed by editing and creative reinterpretation principles of scientific research. In addition, such text
of the results, could be an intermediate, optimal way for may be considered as duplicate content by search engines
them to interact with AI. and plagiarism detection systems.
It should be noted that at the current stage of social and It is therefore appropriate not only to edit the text
technological development, the issue of Human-AI generated by AI chatbots (which is often limited to

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