INTERNATIONAL JOURNAL OF SCIENCE ANNALS

5–8

Authors: Melnyk, Yu. B.

Background and Aim of Study:The use of artificial intelligence-based (AI-based) Chatbots in scientific research and everyday practice is becoming an integral part of most people’s lives. The field of psychology, like many others, has been influenced by artificial intelligence (AI). The aim of the study: to explore the possibilities of using AI-based Chatbots in psychological research and practice. Results: The role of OpenAI’s ChatGPT in the scientific research of academics and psychology practitioners was reviewed. The issues of using ChatGPT, which specializes in text, in theoretical research were discussed, as well as the potential applications of AI-based Chatbots in psychological practice. Conclusions: New AI technologies have transformed the scientific research ecosystem. Researchers, who actively use ChatGPT, should do so properly, taking into account the possibilities and limitations of using this toolkit in their research. Borrowing an AI-generated text for a research paper should be considered plagiarism. In addition to the risk to professional reputation, this can have a negative impact on the researcher’s own personal progress. People who do not have access to a qualified professional or who are financially constrained can use ChatGPT in psychological practice. In one way or another, these users must realize that the responsibility for the results and consequences of using such a toolkit rests entirely with them.

20–31

Authors: Pypenko, I. S., Stadnik, A. V., Melnyk, Yu. B., & Mykhaylyshyn, U. B.

Background and Aim of Study: The war in Ukraine affects the psychological state and life activities of university students. Aim of the study: to identify the state of psychological well-being of students and the peculiarities of students’ use of coping strategies in overcoming life crises on their own. Material and Methods: The study was conducted among 323 Ukrainian university students aged 20-35 in October 2023. According to the impact of the hostilities on them, the respondents were divided into 3 groups: Group 1 – 111 persons living in the area of active hostilities; Group 2 – 104 persons living in the areas where missiles and drones were fired; Group 3 – 108 persons living on the territory of Ukraine, where there were no hostilities and shelling, and in the EU countries. The Psychological General Well-Being Index, PGWBI, and the Coping Strategies Inventory, CSI, were included in an online survey. Both techniques were found to have adequate internal consistency (Cronbach’s alpha was 0.928 and 0.759, respectively). Results: Respondents in all groups are moderately distressed. The highest level of distress (the lowest level of PGWBI) was found among students in Group 1 (55.1 points). Students in Groups 2 and 3 had lower scores (60.1 and 63.5 points, respectively), which corresponds to moderate distress. Students use a variety of coping strategies in stressful situations. However, the coping strategy of cognitive restructuring was used more often (9.8 points in Group 3, 9.5 points in Group 1). This was due to a general rethinking of the meaning of life, of attitudes toward oneself and others because of the war. Coping strategies of social support (8.9 points) and self-criticism (8.7 points) were also important for Group 1. This was due to the importance of social support, reassessment of one’s own behavior and thinking in the war. Conclusions: The obtained data indicate that the war in Ukraine has a negative impact on the psychological state of students. The level of impact was higher the closer the students were to the active combat zone. This influence determined the students' choice of coping strategies in dealing with life crises on their own.

40-48

Authors: Magudulela, T. S., Kalema, B. M., & Segooa, M. A.

Background and Aim of Study: Real-time access of information in the healthcare environment is essential, as it not only helps medical personnel to have adequate and timely information, but it also assists patients to be served more easily. Hospitals in rural areas are operating at a low bandwidth and have poor IT infrastructure that causes intermittent networks leading to disruptions and slow service delivery. This necessitates the Hospital Management System (HMS) to be deployed in the cloud environment to reduce the challenges leading to poor service delivery. The aim of the study: to develop a model for cloud-based HMS for the South African public health sector. Material and Methods: This study identified three public district municipality hospitals in Gauteng Province, South Africa, that were already using HMS and used them for data collection. Each hospital had up to 50 healthcare workers, and this formed the population of 150 from the three hospitals, from which a sample size of 108 respondents was selected. Data were collected using a closed-ended questionnaire and analyzed quantitatively using SPSS v25. Results: The results demonstrated that the suggested model has a good prediction power of 60.9% (R2=0.609) and that with the exception of environmental aspects, the rest of the constructs has a significant contribution to the successful implementation of the cloud-based HMS. Social aspects had the highest prediction power of 60.0% (β=0.600) at p=0.001; followed by risk analysis and control with 41.3% (β=0.413) at p=0.009. On the other hand, environmental aspects had the least and non-significant prediction of 12.3%. Conclusions: This study contributes to the ongoing call to have seamless healthcare provision systems. The model developed in this study extends the research of modernizing healthcare provision by leveraging technological innovations.

54–56

Authors: Pypenko, I. S.

Background and Aim of Study: The advent of artificial intelligence (AI) has changed our world forever. No matter what it is that we do, there will always be a place for AI in what we do. Controlling and managing this system of interactions is still within our power. However, the potential and the speed of developing AI-based information technology is so great that we may soon need to concede this primacy. The aim of the study: to justify whether artificial intelligence will become our assistant or, on the contrary, create problems; to identify what needs to be done to build a harmonious Human-AI System of interactions and relationships. Conclusions: It requires the development, ratification and implementation of laws that regulate the norms of interactions and relationships between humans and AI. The first steps have already been taken to legitimise AI-based Chatbots in scientific research and publications. This paper proposes an attribution for a product created by human without the involvement of AI. The use of this attribution helps to protect the individual’s right to their own activities.