AI tutors take on nursing education: can they sharpen clinical skills?

NCT ID NCT07728929

Completed Knowledge-focused Sponsor: TC Erciyes University Source: ClinicalTrials.gov ↗

First seen Jul 27, 2026 · Last updated Jul 28, 2026 · Updated 1 time

Summary

This trial compares AI-supported case analysis with traditional instructor-led teaching for second-year nursing students. The goal is to see whether learning with artificial intelligence boosts students' knowledge, satisfaction, and clinical decision-making skills. Forty-two students will be randomly assigned to one of two teaching methods, and their outcomes will be measured using tests and surveys.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: AI-supported case analysis
What this could lead to: If effective, AI-supported case analysis could become a new tool for nursing education, enhancing students' clinical reasoning and satisfaction.
What could go wrong: This is a small, single-center study with only 42 participants, so results may not apply broadly. The AI tool's impact on real-world clinical skills remains uncertain.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for ARTIFICIAL INTELLIGENCE (AI) are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ARTIFICIAL INTELLIGENCE (AI) NURSING STUDENTS

Contacts and locations

Locations

Nevsehir Haci Bektas Veli University

Merkez, Nevşehir Province, Turkey (Türkiye)

More trials for these conditions

Other studies related to the condition(s) this trial covers.