Effect of AI-Supported Case Analysis on Nursing Students

Nevsehir Haci Bektas Veli University

Status: Not yet enrolling

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

Treatments: Other: AI-supported case; Other: Control Group

Study type: Interventional

Funder types: Other

Identifiers

NCT07611383

NEVÜsağlıkbilimlerifakültesi

Details and patient eligibility

About

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).

Full 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.

Enrollment: 42 estimated patients

Sex: All

Volunteers: Accepts Healthy Volunteers

Inclusion and exclusion criteria

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

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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42 participants in 2 patient groups

Artificial Intelligence Group

Experimental group

Description:

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

Treatment:

Other: AI-supported case

Traditional teaching group

Sham Comparator group

Description:

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.

Treatment:

Other: Control Group