The Role of Artificial Intelligence in Building the Research Competence of Future Doctors of Philosophy
Keywords:
Innovation, educational environment, higher education, educational component, skill
Abstract
The aim of the article is to arrange and analyse the possibilities of using artificial intelligence (AI) in the development of research competence of future doctors of philosophy (PhDs). The research employed the method of a pedagogical controlled experiment, the method of expert evaluations, and questionnaire survey. The obtained data were analysed through the Student’s t-test and the correlation analysis. Validity and reliability were determined using Cronbach’s alpha. The conducted questionnaire survey gave grounds to study the level of the research competence of future PhDs at the beginning and at the end of the experiment. The study included control and experimental groups, as well as expert evaluation. At the initial stage of the study, certain differences were found between the control group (CG) and experimental group (EG) in terms of research competence. Later, the experimental group showed significant growth in all components of competence, which emphasizes the positive impact of using artificial intelligence in the educational process. The results of the correlation analysis confirm the relationship between the components of research competence in both groups. The results of the study confirm the positive impact of the use of artificial intelligence on the level of research competence of future PhDs.
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References
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Pakhomova, T., Hryhorieva, V., Omelchenko, A., Kalenyk, M., & Semak, L. (2023). The formation of digital competence by means of information and communication technologies among students of higher education. Revista Eduweb, 17(2), 78-88. https://doi.org/10.46502/issn.1856-7576/2023.17.02.7
Stepaniuk, A., & Kartashova, I. (2023). Preparation of future science teachers for cognitive visualization of the educational process. Scientific Notes of Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University Section Theory and Methods of Teaching Natural Sciences, 5, 90-100. https://doi.org/10.31652/2786-5754-2023-5-90-100
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Wang, B., Rau, P. L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324-1337. https://doi.org/10.1080/0144929X.2022.2072768
Arango Calderón, B. C., & Palacios Garay, J. P. (2023). Research Competencies and Autonomous Learning of University Students. Journal of Higher Education Theory & Practice, 23(7). https://doi.org/10.33423/jhetp.v23i7.6017
Artyukhov, A., Volk, I., Surowiec, A., Skrzypek-Ahmed, S., Bliumska-Danko, K., Dluhopolskyi, O., & Shablystyi, V. (2022). Quality of education and science in the context of sustainable development goals—From millennium goals to Agenda 2030: Factors of innovation activity and socio-economic impact. Sustainability, 14, 11468. https://doi.org/10.3390/su141811468
Bykov, V., Mikulowski, D., Moravcik, O., Svetsky, S., & Shyshkina, M. (2020). The use of the cloud-based open learning and research platform for collaboration in virtual teams. Information Technologies and Learning Tools, 76(2), 304–320.
https://doi.org/10.33407/itlt.v76i2.3706.
Chaka, C. (2023). Fourth industrial revolution – a review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning (RPTEL), 18(2). http://rptel.apsce.net/index.php/RPTEL/article/view/2023-18002.
Ding, J., Akiki, Ch., Jernite, Ya., Steele, A. L., & Popo, T. (2023). Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives. http://doi.org/10.48550/arXiv.2301.08488.
Doronina, O. (2023). Development of research competences of youth in the educational environment as a means of intellectual capital formation. Economiсs and Organization of Management, 2(50), 5-13. https://doi.org/10.31558/2307-2318.2023.2.1
Dudar, V.L., Riznyk, V.V., Kotsur, V.V., Pechenizka, S.S., & Kovtun, O.A. (2021). Use of modern technologies and digital tools in the context of distance and mixed learning. Linguistics and Culture Review, 5(S2) (2021) 733–750. https://doi.org/10.21744/lingcure.v5nS2.1416
Ergashovich, S. I. (2023). Organization of the educational process based on the competence approach. Scientific Approach to the Modern Education System, 2(13), 24-29. https://interonconf.org/index.php/fra/article/view/2617
Fitzgerald, S., McGrath-Champ, S., Stacey, M., Wilson, R., & Gavin, M. (2019). Intensification of teachers’ work under devolution. Journal of Industrial Relations, 61(5), 613- 636. https://doi.org/10.1177/0022185618801396
Galushko, O., & Batmanghlich, C. (2023). Ethical and practical aspects of using the artificial intelligence in the educational process. Philosophy, Economics and Law Review, 3(2), 47- 52. https://doi.org/10.31733/2786-491X-2023-2-47-52
García-Martínez, I., Fernández-Batanero, J. M., Fernández-Cerero, J., & León, S. P. (2023). Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. Journal of New Approaches in Educational Research, 12(1), 171-197. http://doi.org/10.7821/naer.2023.1.1240.
Habrusiev, V. Yu., Tereshchuk, H. V., Stepanyuk, A. V., & Olendr, T. M. (2023). Pedagogical conditions for the formation of an effective information and learning environment in higher education institutions. Information Technologies and Learning Tools, 95(3), 183-196. https://doi.org/10.33407/itlt.v95i3.5153
Ivanytsia, A., Yunin, O., Yunina, M., Bobrishova, L., & Shevchenko, S. (2022). Promising ways to improve training for police service under martial law: Administrative and legal aspect. Amazonia Investiga, 11(60), 39-46. https://doi.org/10.34069/AI/2022.60.12.4
Khan, M., & Lulwani, M. (2023). Inspiration of Artificial Intelligence in Adult Education: A Narrative Overview. OSF Preprints, January 12. https://doi.org/10.31219/osf.io/zjqmn.
Khang, A., Jadhav, B., & Birajdar, S. (2023). Industry revolution 4.0: workforce competency models and designs. In Designing workforce management systems for industry 4.0 (pp. 11-34). CRC Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9781003357070-2/industry- revolution-4-0-alex-khang-babasaheb-jadhav-sphurti-birajdar
Kuzior, A., Sira, M., & Brożek, P. (2023). Use of artificial intelligence in terms of open innovation process and management. Sustainability, 15(9), 7205. https://doi.org/10.3390/su15097205
Lopez-Fernandez, O. (2021). Emerging health and education issues related to internet technologies and addictive problems. International Journal of Environmental Research and Public Health, 18(1), 321. https://doi.org/110.3390/ijerph18010321
Marienko, M. V., Shyshkina, M. P., & Konoval, O. A. (2022). Methodological principles of formation of cloud-oriented systems of open science in institutions of higher pedagogical education. Information Technologies and Learning Tools, 89(3), 209-232. https://doi.org/10.33407/itlt.v89i3.4981
Marienko, M., & Kovalenko, V. (2023). Artificial intelligence and open science in education. Physical and Mathematical Education, 38(1), 48-53. https://doi.org/10.31110/2413-1571-2023-038-1- 007
Melnychuk, О. (2023). Information and communication technologies in the field of philosophy of media practices as an educational discipline. In I International Scientific and Practical Conference “New ways of creating scientific ideas for implementation”(September 18–20, 2023, Varna, Bulgaria) (pp. 182-185). https://eu-conf.com/wp-content/uploads/2023/09/NEW-WAYS-OF-CREATING-SCIENTIFIC-IDEAS-FOR-IMPLEMENTATION.pdf#page=183
Mintii, M. M. (2023). Selection of pedagogical conditions for training STEM teachers to use augmented reality technologies in their work. Educational Dimension, 8, 212–239. https://doi.org/10.31812/educdim.4951
Mirzoeva, M. A. (2023). Correct formation of scientific research activity of students. Open Access Repository, 4(3), 722-729. https://doi.org/10.17605/OSF.IO/VRD5B
Morze, N. V., & Strutynska, O. V. (2023). Advancing educational robotics: competence development for pre-service computer science teachers. CTE Workshop Proceedings, 10, 107–123. https://doi.org/10.55056/cte.549
Narzieva, N. N. (2023). Development of research competencies in the conditions of integrated education in students on the base of a competent approach. Thematics Journal of Education, 8(Q1). https://thematicsjournals.in/index.php/tjed/article/view/1301
Oleynik, O., & Das, B. (2023). Professional burnout in pedagogy of specialists working in higher education sphere. Philosophy, Economics and Law Review, 3(2), 203-211.
Pakhomova, T., Hryhorieva, V., Omelchenko, A., Kalenyk, M., & Semak, L. (2023). The formation of digital competence by means of information and communication technologies among students of higher education. Revista Eduweb, 17(2), 78-88. https://doi.org/10.46502/issn.1856-7576/2023.17.02.7
Stepaniuk, A., & Kartashova, I. (2023). Preparation of future science teachers for cognitive visualization of the educational process. Scientific Notes of Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University Section Theory and Methods of Teaching Natural Sciences, 5, 90-100. https://doi.org/10.31652/2786-5754-2023-5-90-100
Stepanyuk, A., & Yagenska, H. (2023). Features of the formation of research competence of educators in the process of studing the natural sciences: Today’s realities. Bulletin of Science and Education, 12(18). https://doi.org/10.52058/2786-6165-2023-12(18)-748-760
Topolnyk, Y. (2021). Formation principles of information and communication competence of future masters and doctors of philosophy in the field of education. Humanizatsiia Navchalno-Vykhovnoho Protsesu, 1(100), 44-54. https://doi.org/10.31865/2077-1827.1002021.245394
UNESCO. (2019, March). Artificial Intelligence. https://www.unesco.org/en/artificial-intelligence
Wang, B., Rau, P. L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: Validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324-1337. https://doi.org/10.1080/0144929X.2022.2072768
Published
2024-04-27
How to Cite
Oliinyk, I., Bulavina, O., Romanenko, T., Tatarnikova, A., & Smirnov, A. (2024). The Role of Artificial Intelligence in Building the Research Competence of Future Doctors of Philosophy. Journal of the University of Zulia , 15(43), 377-396. https://doi.org/10.46925//rdluz.43.22
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