Health Technology/clinical-trials

Randomised Controlled Trial Evaluates AI-Supported Flipped Learning for Nursing Communication Skills — Implications for Health Professions Education

247 Health News Editorial

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3 Aug 2026

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4 min read

·clinical-trials

A randomised controlled trial at Selcuk University, Türkiye is testing whether AI-supported flipped learning can improve nursing students' professional communication skills, learning motivation, and self-directed learning readiness. With health systems globally demanding more autonomous and communicatively competent nurses, the findings could inform curriculum reform well beyond Türkiye's borders.

Originally reported by ClinicalTrials.gov

References

  1. 1.Selcuk University. (2025). The effect of artificial intelligence-supported flipped learning-based professional communication skills training on nursing students' learning motivation and self-directed learning: A randomized controlled trial. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07705152
  2. 2.Nursing and Midwifery Board of Australia. (2016). Registered nurse standards for practice. NMBA. https://www.nursingmidwiferyboard.gov.au/Codes-Guidelines-Statements/Professional-standards/registered-nurse-standards-for-practice.aspx
  3. 3.Hew, K. F., & Lo, C. K. (2018). Flipped classroom improves student learning in health professions education: A meta-analysis. BMC Medical Education, 18(1), 38. https://doi.org/10.1186/s12909-018-1144-z
  4. 4.Mok, H. N. (2014). Teaching tip: The flipped classroom. Journal of Information Systems Education, 25(1), 7–11. https://jise.org/Volume25/n1/JISEv25n1p7.html
  5. 5.Vermeir, P., Vandijck, D., Degroote, S., Peleman, R., Verhaeghe, R., Mortier, E., Hallaert, G., Van Daele, S., Buylaert, W., & Vogelaers, D. (2015). Communication in healthcare: A narrative review of the literature and practical recommendations. International Journal of Clinical Practice, 69(11), 1257–1267. https://doi.org/10.1111/ijcp.12686
  6. 6.Knowles, M. S. (1975). Self-directed learning: A guide for learners and teachers. Association Press.
  7. 7.Topaz, M., & Pruinelli, L. (2017). Big data and nursing: Implications for the future. Studies in Health Technology and Informatics, 232, 165–171. https://doi.org/10.3233/978-1-61499-738-2-165
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247 Health News Editorial

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