Effect of AI-Supported Case Analysis on Nursing Students

May 22, 2026 updated by: AYSER DÖNER, Nevsehir Haci Bektas Veli University

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

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).

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

42

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Artificial Intelligence Group
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Other: AI-supported case
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Sham Comparator: Traditional teaching group
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.
Other: Control Group
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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
2 hours
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).
2 hours
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.
2 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Nevsehir Haci Bektas Veli University

Investigators

  • Principal Investigator: AYSER DÖNER, Assistant Professor, Nevsehir Haci Bektas Veli University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

May 25, 2026

Primary Completion (Estimated)

May 25, 2026

Study Completion (Estimated)

May 30, 2026

Study Registration Dates

First Submitted

May 5, 2026

First Submitted That Met QC Criteria

May 22, 2026

First Posted (Actual)

May 28, 2026

Study Record Updates

Last Update Posted (Actual)

May 28, 2026

Last Update Submitted That Met QC Criteria

May 22, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • NEVÜsağlıkbilimlerifakültesi

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Only a short protocol can be shared with other researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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