CompletedNANCT07728929

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

Sponsor: TC Erciyes University

Trial Details

Condition	Nursing Students, Artificial Intelligence (AI)
Intervention	AI-supported case; Traditional teaching group
Phase	NA
Status	Completed
Participants	42
Est. Completion	19 May 2026
Last Updated	27 July 2026

Primary Outcome

Knowledge level

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Second-year nursing students actively enrolled during the spring semester of the 2025-2026 academic year. Having previously completed the theoretical Nursing Process course. Owning a smartphone with internet access. Having previously prepared at least one individualized nursing care plan for a patient hospitalized in an internal medicine clinical setting. Exclusion Criteria: * Students who had not previously provided planned nursing care for hospitalized patients in internal medicine clinical settings during their clinical placements. Students who did not agree to participate in the study.

Trial Sites

Countries

Turkey (Türkiye)

View Registry Entry

Related Analysis

Randomised Trial Completed: AI-Supported Oncology Case Analysis vs Traditional Teaching in Nursing Education — Implications for Clinical Decision-Making Curricula

A completed controlled trial from Erciyes University has examined whether AI-supported oncology case analysis can improve knowledge, learning satisfaction, and clinical decision-making skills in second-year nursing students compared with traditional teaching. With nursing education systems worldwide under pressure to produce clinically ready graduates, the findings carry significant implications for curriculum design and technology integration in pre-registration programmes.

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