Effect of AI-Supported Case Analysis on Nursing Students

The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).

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Key information

Conditions

Nursing Students Artificial Intelligence (AI) Clinical Decision-Making in Nursing

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

About this study

The use of artificial intelligence in education offers numerous benefits to both students and educators. The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The study population will consist of 42 second-year nursing students enrolled in the Oncology Nursing elective course at the Faculty of Health Sciences during the 2025-2026 academic year. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction). In the study, data will be collected using the Student Information Form, Knowledge Test, Learning Satisfaction Scale, Clinical Decision-Making Scale in Nursing, and Semi-Structured Interview Form.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,
Who have previously taken the theoretical course on the nursing process,
Who own a smartphone with an internet connection,
Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.

Exclusion criteria

Students who have not taken the elective course in oncology nursing,
Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,
Students who do not agree to participate in the study will not be included in the research

Treatment and study plan

AI-supported case

Other

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

Control Group

Other

For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers.

Primary outcomes

Knowledge level

Time frame: 2 hours

The knowledge test consists of 10 multiple-choice questions with five options each. Each question is worth 10 points, and the total test score will be calculated out of 100 points.

12 Level of knowledge
Learning satisfaction

Time frame: 2 hours

The Mentimeter application will be used to determine students' level of learning satisfaction. Students' learning satisfaction levels regarding the case analysis will be assessed on a 10-point scale, ranging from 0 (Strongly Disagree) to 10 (Strongly Agree).
Clinical decision-making skills

Time frame: 2 hours

The Turkish validity and reliability study of the scale developed by Jenkins to measure nursing students' self-reported perceptions of clinical decision-making was conducted by Durmaz-Edeer and Sarıkaya (2015). The scale consists of four sub-dimensions and a total of 40 items: exploring options and ideas, investigating goals and values, evaluating outcomes, researching information, and adopting new information impartially. The scale is a five-point Likert type, with a total score between 40 and 200, and scores between 10 and 50 for each sub-dimension. A high score indicates a high perception of clinical decision-making among students, while a low score indicates a low perception of decision-making.

Study contacts

Contact information is provided by the study sponsor or research team.

AYSER DÖNER, Assistant Professor

CONTACT

[email protected]

+905052349338

Sponsors and collaborators

Lead sponsor

Nevsehir Haci Bektas Veli University

Other

Registry information

Official study title

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

Important dates

Study start: 2026
Primary completion: 2026
Study completion: 2026
First posted: May 28, 2026
Registry last updated: May 28, 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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