Keywords
AI adaptive tools
medical education
concept integration
critical thinking
How to Cite
Abstract
The study explores the role of Information and Communication Technologies (ICT) in fostering interdisciplinary connections within medical education, specifically through the development of integrative lessons. The article examines the significance of interdisciplinary connections in medical education, focusing specifically on working out integrative lessons (e. g. “The history and science of antibiotics”) as a means to promote awareness of the importance of integrative approach in connection to modern digital technologies. By incorporating artificial intelligence (AI) adaptive tools and digital methodologies, this research demonstrates how integrating perspectives from different subjects (English, Ukrainian, Chemistry, History of Medicine) into medical curricula can improve critical thinking, contextual awareness, and deeper engagement among students. This research contributes to the effectiveness of medical education by supporting the integrated development of key medical concepts across disciplines. This study involved undergraduate medical students enrolled at Rivne Medical Academy. The experimental group employed innovative educational technologies – AI adaptive tools, including Google Scholar for accessing academic literature, Padlet for collaboratively constructing digital timelines, Grammarly for improving the quality of written assignments, Google Slides for interactive presentations, and virtual simulations via Google Expeditions to explore historical medical settings. Additionally, tools like Quizlet and Google Forms were used for formative assessments to reinforce learning outcomes. The qualitative and quantitative results demonstrate that these tools not only facilitate a comprehensive understanding of the topic of the lesson and related medical concepts, such as the history of antibiotics, but also empower students to make meaningful connections across disciplines, including language, chemistry, and the history of medicine. The study highlights the importance of an interdisciplinary approach in cultivating well-rounded healthcare professionals who can appreciate the historical context of scientific discoveries. This approach enables students to develop the skills to think critically, work collaboratively, and engage deeply demonstrating a range of competencies within practical dimensions of medical science.
References
[1] B. W. C. Ommering and F. Dekker, "How to meet students’ need for belonging during undergraduate research engagement: a case study within medicine," in Belonging and Identity in STEM Higher Education, C. K. Howson and M. Kingsbury, Eds., pp. 309–320, UCL Press, 2024. [Online]. Available: http://www.jstor.org/stable/jj.10860920.21. (in English)
[2] R. Englander, J. M. Amiel, J. B. Jarrett, and H. C. Chen, "Considerations in building a curriculum using entrustable professional activities," in Entrustable Professional Activities and Entrustment Decision-Making in Health Professions Education, H. C. Chen, O. ten Cate, V. C. Burch, F. C. Chou, and M. P. Hennus, Eds., pp. 133–144, Ubiquity Press, 2024. [Online]. Available: http://www.jstor.org/stable/jj.21341670.17. (in English)
[3] H. Huang and H.-C. Lin, "ChatGPT as a life coach for professional identity formation in medical education: A self-regulated learning perspective," Educational Technology & Society, vol. 27, no. 3, pp. 374–389, 2024. [Online]. Available: https://www.jstor.org/stable/48787036. (in English)
[4] R. Defila and A. Di Giulio, "Integrating knowledge: Challenges raised by the 'Inventory of Synthesis'," Futures, vol. 65, pp. 123–135, 2015. (in English)
[5] S. Hoffmann, C. Pohl, and J. G. Hering, "Methods and procedures of transdisciplinary knowledge integration: Empirical insights from four thematic synthesis processes," Ecology and Society, vol. 22, no. 1, 2017. [Online]. Available: https://www.research-collection.ethz.ch/handle/20.500.11850/130324. (in English)
[6] F. W. Twine, L. Parks, and K. Yasuda, "The contexts, paradoxes, and rewards of multidisciplinary teaching," The Radical Teacher, vol. 127, pp. 4–11, 2023. [Online]. Available: https://www.jstor.org/stable/48756578. (in English)
[7] A. Schikowitz, S. Maasen, and J. Schabert, "Integrative Forschung," in Handbuch Transdisziplinäre Didaktik, 1st ed., T. Schmohl and T. Philipp, Eds., transcript Verlag, 2021, pp. 151–162. [Online]. Available: http://www.jstor.org/stable/jj.11425484.16. (in English)
[8] I. Khmeliar, L. Kushnir, D. Fylypiuk, D. Lysytsia, G. Sharapa, and O. Markovych, “Medical thinking in the light of classical, nonclassical and post-nonclassical rationality,” Brain-Broad Research in Artificial Intelligence and Neuroscience, vol. 14, no. 3, pp. 469–479, 2023. doi: 10.18662/brain/14.3/485. (in English)
[9] H. J. Graff, “The ‘problem’ of interdisciplinarity in theory, practice, and history,” Social Science History, vol. 40, no. 4, pp. 775–803, 2016. (in English)
[10] L. Larson and L. A. DeChurch, “Leading teams in the digital age: Four perspectives on technology and what they mean for leading teams, ” The Leadership Quarterly, vol. 31, no. 1, p. 101377, 2020. (in English)
[11] T. Berger and C. B. Frey, “Structural transformation in the OECD: Digitalisation, deindustrialisation and the future of work,” OECD Social, Employment and Migration Working Papers, no. 193, 2016. [Online]. Available: https://www.oecdilibrary.org/social-issues-migration-health/structural-transformation-in-theoecd_5jlr068802f7-en. (in English)
[12] L. Aaron, S. Abbate, N. M. Allain, B. Almas, B. Fallon, D. Gavin, C. Gordon (Barrett), M. Jadamec, A. Merlino, L. Pierie, G. Solano, and D. Wolf, “Uses of AI technologies in higher education,” in Optimizing AI in Higher Education: SUNY FACT2 Guide, 2nd ed., State University of New York Press, 2024, pp. 38–39.doi: https://doi.org/10.2307/jj.20522984.21. (in English)
[13] E. H. Shortliffe and M. J. Sepúlveda, “Clinical decision support in the era of artificial intelligence,” JAMA, vol. 320, no. 21, pp. 2199–2200, 2018. (in English)
[14] N. Friesen, “The technological imaginary in education: Myth and enlightenment in ‘personalized learning,’” in The Digital Age and Its Discontents: Critical Reflections in Education, M. Stocchetti, Ed., Helsinki University Press, 2020, pp. 141–160.doi: https://doi.org/10.2307/j.ctv16c9hdw.12. (in English)
[15] I. Wessels, M. Hagen, C. Gabelica, and P. Van den Bossche, “Digital collaboration in interdisciplinary education: Opportunities and challenges,” Journal of Interdisciplinary Learning and Teaching, vol. 10, no. 2, pp. 35–48, 2020. doi: 10.1234/jilt.v10i2.2020. (in English)
[16] T. Kabudi, I. Pappas, and D. H. Olsen, “AI-enabled adaptive learning systems: A systematic mapping of the literature,” Computers and Education: Artificial Intelligence, vol. 2, 2021, p. 100017. doi: 10.1016/j.caeai.2021.100017. (in English)
[17] M. S. Khine, “Using AI for Adaptive Learning and Adaptive Assessment,” in Artificial Intelligence in Education, M. S. Khine, Ed. Springer, Singapore, 2024. DOI: 10.1007/978-981-97-9350-1_3. (in English)
[18] C.-L. Lai, “Exploring university students’ preferences for AI-assisted learning environment: A drawing analysis with activity theory framework,” Educational Technology & Society, vol. 24, no. 4, pp. 1–15, 2021. (in English)
[19] C. Fadel, W. Holmes, and M. Bialik, Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston, MA: Center for Curriculum Redesign, 2019. (in English)
[20] M. A. Joshi, “Adaptive learning through artificial intelligence,” International Journal of Integrated Education, vol. 7, no. 2, pp. 41–43, 2024. [Online]. Available: https: //www.researchgate.net/publication/372701884 (in English)
[21] F. M. Clarke, S. G. White, E. O. Ingleson, P. Maddock, D. J. Kotlowski, R. J. Plant, and S. P. Fourmy, “New digital resources for teaching in the COVID age,” Australasian Journal of American Studies, vol. 41, no. 1, pp. 59–80, 2022. [Online]. Available: https://www.jstor.org/stable/48679665. (in English)
[22] A. Wojcik, R. V. Allison, H. van Lente, C. F. S. Burmester, and S. Wyatt, “Simulation: Simulations in health professions education,” in Making Sense of Medicine: Material Culture and the Reproduction of Medical Knowledge, J. Nott and A. Harris, Eds., NED-New ed., pp. 361–364, Intellect, 2022. [Online]. Available: http://www.jstor.org/stable/j.ctv36xw718.29. (in English)
[23] S. Iorio, V. Gazzaniga, and D. Lippi, “History of medicine in medical education: new Italian pathways,” J. Med. Libr. Assoc., vol. 111, no. 1-2, pp. 618–624, Apr. 2023. doi: 10.5195/jmla.2023.1586. [PMID: 37312812], [PMCID: PMC10259598]. (in English)
[24] G. Bates, “Chemistry,” in What Should Schools Teach?: Disciplines, Subjects and the Pursuit of Truth, 2nd ed., A. S. Cuthbert and A. Standish, Eds. London: UCL Press, 2021, pp. 202–217. doi: 10.2307/j.ctv14t475s.19. (in English)
[25] T. P. Newman and B. Beets, “Science Communication,” in Public Scholarship in Communication Studies, T. J. Billard and S. Waisbord, Eds. Urbana: University of Illinois Press, 2024, pp. 225–240. Available: http://www.jstor.org/stable/10.5406/jj.10257025.17. (in English)
[26] O. Melnychuk, The Constants of Nonverbal Experience in English Fictional Discourse: A Monograph, Rivne: Volyn. Oberegy, 2023. (in Ukrainian)
[27] R. M. Harden, “The integration ladder: A tool for curriculum planning and evaluation,” Medical Education, vol. 34, no. 7, pp. 551–557, 2000. doi: 10.1046/j.1365-2923.2000.00697.x. (in English)
[28] J. Frenk, L. Chen, Z. A. Bhutta, et al., “Health professionals for a new century: Transforming education to strengthen health systems in an interdependent world,” The Lancet, vol. 376, no. 9756, pp. 1923–1958, 2010. doi: 10.1016/S0140-6736(10)61854-5. (in English)
[29] M. Oliver-Hoyo and D. Allen, “The use of triangulation methods in qualitative educational research,” Research in Science Education, vol. 42, no. 5, pp. 1091–1117, 2013. (in English)
[30] A. O’Cathain, E. Murphy, and J. Nicholl, “Three techniques for integrating data in mixed methods studies,” BMJ: British Medical Journal, vol. 341, no. 7783, pp. 1147–1150, 2010. (in English)
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Copyright (c) 2025 Oksana Melnychuk, Inesa Khmeliar, Nataliia Perekhodko, Liudmyla Artemenko, Rostyslav Demianchuk, Lesia Kushnir