AI-Powered flipped classrooms could transform how nurses learn communication skills
NCT ID NCT07705152
First seen Jul 15, 2026 · Last updated Jul 16, 2026 · Updated 1 time
Summary
This study investigates whether combining artificial intelligence with a flipped learning model—where students study material before class and use class time for practice—can improve nursing students' motivation and ability to direct their own learning. Around 52 nursing students will be randomly assigned to either the AI-supported flipped learning group or a traditional teaching group. Researchers will measure changes in learning motivation and self-directed learning skills to see if this tech-enhanced approach makes a difference.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence-supported flipped learning approach
- What this could lead to
- If effective, this approach could improve how nursing students learn communication skills, potentially leading to better patient care.
- What could go wrong
- This is a small, early-stage educational study with 52 participants, so results may not apply broadly. The intervention's success depends on student engagement and technology access.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Contacts and locations
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Locations
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Selcuk Unıversty
Konya, Turkey (Türkiye)
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