This study aims to determine the effects of AI-supported oncology case analysis on nursing students' knowledge, learning satisfaction, and clinical decision-making skills.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
42
AI-supported case: In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
The case analysis for this group will be conducted by the course instructor.
Nevsehir Haci Bektas Veli University
Merkez, Nevşehir Province, Turkey (Türkiye)
Knowledge level
Knowledge level: Knowledge level will be assessed using a researcher-developed 10-item multiple-choice knowledge test.
Time frame: Baseline and immediately after completion of the intervention (same day)
Learning satisfaction
Learning satisfaction: Learning satisfaction was assessed using a 0-10 numeric rating scale.
Time frame: Learning satisfaction: Immediately after completion of the intervention (same day)
Clinical decision-making
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.
Time frame: Immediately after completion of the intervention (same day)
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