Impact of AI-Supported Teaching on Clinical Decision-Making in Nursing Students

Not Applicable

Completed

• Conditions: Nursing Education Research

• Registration Number: NCT06999447
• Lead Sponsor: Yeditepe University

Brief Summary

This clinical trial aims to explore whether an AI-supported teaching method can help nursing students improve their clinical decision-making skills and knowledge during case-based learning. The study focuses on third-year nursing students enrolled in an emergency care course. Participants are divided into two groups: one group receives traditional case-based instruction, while the other uses ChatGPT (an AI language model developed by OpenAI- (Chat Generative Pre-trained Transformer)) to support their case-solving activities. All students complete a pretest and posttest to assess their knowledge and perceptions of clinical decision-making. The main goals are to find out whether the AI-supported group performs better than the traditional group and to evaluate the relationship between students' knowledge and their clinical decision-making scores. By comparing these two teaching methods, researchers aim to understand whether integrating AI tools into nursing education can enhance learning outcomes.

Detailed Description

Not available

Study Timeline

• Study Start: 2025-03-26
• Primary Completion: 2025-03-26
• Study Completion: 2025-03-26
• Study First Submitted: 2025-05-22
• Study First Submitted QC: 2025-05-22
• Study First Posted: 2025-05-31
• Status Verified: 2025-06
• Last Update Submitted: 2025-06-02
• Last Update Posted: 2025-06-06

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 66

Inclusion Criteria

• Successful completion of prerequisite courses (Fundamentals of Nursing I-II,
• Medical-Surgical Diseases Nursing, and Pediatric Nursing) along with associated clinical internships
• Enrollment in the Emergency Care course during the study period
• Volunteering to participate and providing written informed consent
• Must be a third-year undergraduate nursing student.
• Must be enrolled in the "Emergency Care Nursing" course during the 2024-2025 spring semester.
• Must be attending the Faculty of Health Sciences, Department of Nursing, at Yeditepe University.
• Completion of all data collection forms

Exclusion Criteria

• Failure to complete prerequisite courses or required clinical internships
• Irregular attendance in the Emergency Care course
• Declining to participate or failure to provide written informed consent
• Submission of incomplete data collection forms

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Clinical decision-making skills	From baseline (before intervention) to immediately after the intervention session (same day)	This outcome measures clinical decision-making using the Clinical Decision-Making in Nursing Scale (CDMNS), developed by Jenkins (1983) and validated in Turkish by Durmaz (2012). The 40-item scale is rated on a 5-point Likert scale ("always" to "never") and includes four subdimensions: Search for Alternatives or Options (SAO), Canvassing of Objectives and Values (COV), Evaluation and Re-evaluation of Consequences (ERC), and Search for Information and Unbiased Assimilation of New Information (SIUANI). Each subdimension includes 10 items. Total scores range from 40 to 200; higher scores reflect stronger decision-making. Of the 40 items, 22 are positively worded and 18 are negatively worded (reverse-scored). Minimum and maximum scores for subdimensions are not explicitly defined in the original scale; instead, changes in subdimension scores were analyzed based on increase or decrease. The scale was applied at pretest and posttest.

Secondary Outcome Measures

Name	Time	Method
Case-Specific Knowledge Test Score	Immediately after the intervention session (same day)	This measure evaluates nursing students' knowledge in pediatric surgical emergency management using a researcher-developed, scenario-based test aligned with the NCSBN "Bowtie" model. The test includes 10 structured items (one with two parts) and one open-ended question, totaling 11 questions. Items combine multiple-choice and short-answer formats, requiring students to prioritize, analyze, and justify decisions. Partial credit is awarded for correct responses and justifications; incorrect answers do not deduct points. Scores range from 0 to 100, with higher scores indicating greater case-specific knowledge. No cutoff was defined; mean scores were compared between groups at posttest. This is not a previously validated measurement tool (scale); however, content validation was conducted by five independent nurse educators with expertise in pediatric and surgical nursing. The test was developed by two PhD nurse educators and administered digitally via QR code.

Trial Locations

Locations (1)

Yeditepe University; 🇹🇷 Istanbul, Atasehir, Turkey