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Completed

NCT Number: NCT07728929

The Effect of AI-Supported Case Analysis on Nursing Students

This study aims to determine the effects of AI-supported oncology case analysis on nursing students' knowledge, learning satisfaction, and clinical decision-making skills.

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Key information

Conditions

Nursing Students Artificial Intelligence (AI)

Age range

18 year–35 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Nevsehir Haci Bektas Veli University

Merkez, Nevşehir Province, Turkey (Türkiye)

About this study

The literature on the use of AI in nursing education remains limited. This study aims to determine the effects of AI-supported oncology case analysis on nursing students' knowledge, learning satisfaction, and clinical decision-making skills. This study was conducted as a single-blind randomized controlled trial. The study population consisted of second-year nursing students enrolled in the elective Oncology Nursing course in the Department of Nursing at a public university. During the spring semester of the 2025-2026 academic year, a total of 42 second-year nursing students were actively enrolled in the Oncology Nursing course. The students were randomly assigned to either the traditional teaching group or the AI-supported group. Data were collected using a participant information form, a knowledge test, a learning satisfaction scale, a clinical decision-making scale, and a semi-structured interview form.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Second-year nursing students actively enrolled during the spring semester of the 2025-2026 academic year.

Having previously completed the theoretical Nursing Process course. Owning a smartphone with internet access. Having previously prepared at least one individualized nursing care plan for a patient hospitalized in an internal medicine clinical setting.

Exclusion criteria

  • Students who had not previously provided planned nursing care for hospitalized patients in internal medicine clinical settings during their clinical placements.

Students who did not agree to participate in the study.

Treatment and study plan

AI-supported case

Other

AI-supported case: In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.

Traditional Teaching Group

Other

The case analysis for this group will be conducted by the course instructor.

Primary outcomes

  1. Knowledge level

    Time frame: Baseline and immediately after completion of the intervention (same day)

    Knowledge level: Knowledge level will be assessed using a researcher-developed 10-item multiple-choice knowledge test.

Secondary outcomes

  1. Learning satisfaction

    Time frame: Learning satisfaction: Immediately after completion of the intervention (same day)

    Learning satisfaction: Learning satisfaction was assessed using a 0-10 numeric rating scale.

  2. Clinical decision-making

    Time frame: Immediately after completion of the intervention (same day)

    Clinical decision-making: Clinical decision-making was assessed using the 40-item Clinical Decision-Making in Nursing Scale (CDMNS). The scale measures nursing students' clinical decision-making abilities, with higher scores indicating better clinical decision-making skills.

Sponsors and collaborators

Lead sponsor

TC Erciyes University

Other

Registry information

Official study title

The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction, and Clinical Decision-Making Skills

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Jul 27, 2026
Registry last updated
Jul 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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