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The Effect of Educational Simulation and Artificial Intelligence on the Clinical Reasoning Skills of Nursing Students

Investigating the Effect of AI-Based Scenario-Driven Simulation and Prompt Engineering Training on Clinical Reasoning Skills of Nursing Students in Caring for Patients Undergoing Colorectal Cancer Surgery

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
IRCT
Registry ID
IRCT20221218056861N3
Enrollment
88
Registered
2025-10-08
Start date
2025-10-23
Completion date
Unknown
Last updated
2025-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Condition 1: Malignant neoplasm of rectosigmoid junction. Condition 2: Nursing students' knowledge and skills in caring for patients undergoing colorectal cancer surgery. Malignant neoplasm of rectosigmoid junction Other specified counseling

Interventions

Intervention 1: Intervention group: Students in the intervention group, in addition to receiving the basic educational content (similar to the control group), participate in three stages of an artific

Sponsors

Yazd University of Medical Sciences
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Willingness to participate in the study Having a smartphone or laptop or easy access to a computer and the Internet Passing theoretical courses and internships in adult health nursing (surgical internal medicine) 1 to 3

Exclusion criteria

Exclusion criteria: Students on leave or sick leave.

Design outcomes

Primary

MeasureTime frame
Mean score of nursing students' clinical reasoning. Timepoint: Measurement of the score of nursing students' clinical reasoning at the beginning of the study, before the intervention starts, and at the end of the study, one month after completing all intervention stages. Method of measurement: Nurses' Clinical Reasoning Scale.;Score of the quality of the nursing care plan developed by nursing students for patients undergoing colorectal cancer surgery with complex conditions. Timepoint: Measurement of the score of the quality of the nursing care plan developed by nursing students for patients undergoing colorectal cancer surgery with complex conditions one month after the intervention implementation in the fourth study stage. Method of measurement: Nursing care plan evaluation checklist.

Secondary

MeasureTime frame
Score of nursing students' specific clinical reasoning in caring for and managing patients following colorectal cancer surgery in the first version of the test, with and without using artificial intelligence tools. Timepoint: Measurement of the score of nursing students' specific clinical reasoning in caring for and managing patients following colorectal cancer surgery in the first version of the test without using artificial intelligence tools during the second intervention stage, after presenting simulation scenarios and before using artificial intelligence toolsMeasurement of the score of nursing students' specific clinical reasoning in caring for and managing patients following colorectal cancer surgery in the first version of the test with using artificial intelligence tools during the second intervention stage, after completing the test without artificial intelligence tools and with permission to use tools such as ChatGPT or Copilot. Method of measurement: Specific clinical reasoning test for caring for and managing patients following colorectal cancer surgery first version.;Score of the quality of prompt-writing by nursing students in using artificial intelligence tools for clinical scenarios related to caring for patients undergoing colorectal cancer surgery. Timepoint: Measurement of the score of the quality of prompt-writing by nursing students in using artificial intelligence tools for clinical scenarios related to caring for patients undergoing colorectal cancer surgery one month after the intervention implementation in the fourth study stage simultaneously with developing the nursing care plan. Method of measurement: Prompt-writing evaluation rubric.;Score of nursing students' satisfaction with the artificial intelligence-based educational intervention in caring for patients undergoing colorectal cancer surgery. Timepoint: Measurement of the score of nursing students' satisfaction with the artificial intelligence-based educational intervention in caring

Countries

Iran (Islamic Republic of)

Contacts

Public ContactFateme Bakhshi

Yazd University of Medical Sciences

fateme.bakhshii@gmail.com+98 35 3824 1751

Outcome results

None listed

Source: IRCT (via WHO ICTRP) · Data processed: Feb 4, 2026