NCT07611383

Brief Summary

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).

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
42

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started May 2026

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

May 5, 2026

Completed
20 days until next milestone

Study Start

First participant enrolled

May 25, 2026

Completed
Same day until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 25, 2026

Completed
3 days until next milestone

First Posted

Study publicly available on registry

May 28, 2026

Completed
2 days until next milestone

Study Completion

Last participant's last visit for all outcomes

May 30, 2026

Completed
Last Updated

May 28, 2026

Status Verified

May 1, 2026

Enrollment Period

Same day

First QC Date

May 5, 2026

Last Update Submit

May 22, 2026

Conditions

Keywords

nursing studentairtificial intelligencenursing educationclinical decision

Outcome Measures

Primary Outcomes (3)

  • Knowledge level

    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

    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

    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

Study Arms (2)

Artificial Intelligence Group

EXPERIMENTAL

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

Other: AI-supported case

Traditional teaching group

SHAM COMPARATOR

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

Interventions

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

Artificial Intelligence 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.

Traditional teaching group

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • 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.

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Interventions

Control Groups

Intervention Hierarchy (Ancestors)

Epidemiologic Research DesignEpidemiologic MethodsInvestigative TechniquesResearch DesignMethods

Study Officials

  • AYSER DÖNER, Assistant Professor

    Nevsehir Haci Bektas Veli University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

AYSER DÖNER, Assistant Professor

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: A single-blind randomized controlled trial design
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

May 5, 2026

First Posted

May 28, 2026

Study Start

May 25, 2026

Primary Completion

May 25, 2026

Study Completion

May 30, 2026

Last Updated

May 28, 2026

Record last verified: 2026-05

Data Sharing

IPD Sharing
Will not share

Only a short protocol can be shared with other researchers.