NCT07310940

Brief Summary

Concept maps are visual tools that help students organize information and understand how ideas are related to each other. Although concept mapping is widely used in nursing education, many nursing students find it difficult to create effective concept maps. Recently, artificial intelligence tools such as ChatGPT have begun to be used in education and may help support students during learning activities. However, it is not yet clear whether using chatbots improves students' ability to create concept maps. This study aimed to examine whether using a chatbot (ChatGPT) helps nursing students develop better concept map construction skills. The study was conducted as a randomized controlled trial with second-year nursing students taking a surgical nursing course during the 2024-2025 spring semester. A total of 108 students were randomly assigned to either an intervention group or a control group. All students received the same theoretical education about postoperative care of cardiac surgery patients from the same instructor. Students in the intervention group received brief training on how to use ChatGPT and were allowed to use the chatbot while creating case-based concept maps. Students in the control group created concept maps using only textbooks and course materials. Students' knowledge, concept map quality, and attitudes toward concept mapping were evaluated. The results showed no significant difference between the two groups in terms of postoperative care knowledge or overall concept map scores. However, students who used ChatGPT had more positive attitudes toward concept mapping. Students also reported that the chatbot helped them understand complex information more easily and supported them during the concept map creation process.In conclusion, using a chatbot did not improve concept map performance scores, but it had a positive effect on students' attitudes and learning experiences. Chatbot-assisted learning may be a useful supportive tool in nursing education. Further studies with larger groups of students and longer follow-up periods are needed to better understand its effects on learning outcomes.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
108

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Mar 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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

Study Start

First participant enrolled

March 19, 2025

Completed
26 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 14, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 14, 2025

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

December 16, 2025

Completed
14 days until next milestone

First Posted

Study publicly available on registry

December 30, 2025

Completed
Last Updated

December 30, 2025

Status Verified

June 1, 2025

Enrollment Period

26 days

First QC Date

December 16, 2025

Last Update Submit

December 16, 2025

Conditions

Keywords

Nurse education, Concept mapping, Nursing Students, Artificial Intelligence, Qualitative, Randomized controlled study

Outcome Measures

Primary Outcomes (1)

  • Concept Map Construction Skill

    Concept Map Assessment Keys: Concept Map Assessment Keys are one of the tools used to evaluate concept maps. In this assessment tool, the student is evaluated on identifying a concept related to the topic and establishing meaningful connections between them, with 1 point awarded for each meaningful relationship/connection found. Another item evaluated is whether the student follows a hierarchical order according to priority when moving from general concepts/elements to more specific concepts, with 5 points awarded for each hierarchy established by the student. The student is awarded 10 points for each cross-connection established when moving from one concept section/group to another with a hierarchically meaningful connection.

    Baseline (post-test), after the intervention - assessed once immediately after to the intervention.

Secondary Outcomes (3)

  • Attitude Toward the Concept Mapping Method

    After the intervention - assessed once immediately after the intervention.

  • Knowledge Level of Postoperative Nursing Care in Cardiac Surgery

    Baseline (pre-test), before the intervention - assessed once immediately prior to the intervention.

  • Students' Perceptions of Chatbot Use in Concept Mapping

    Post intervention immediately

Study Arms (2)

Chatbot-assisted concept mapping

EXPERIMENTAL

Students in this group received standard theoretical instruction on postoperative nursing care of cardiac surgery patients and, in addition, participated in a 15-minute training session on the use of ChatGPT and effective prompt techniques. During case-based learning activities, students were instructed to use the chatbot as a supportive tool while constructing concept maps.

Behavioral: Chatbot-assisted concept mapping

Control group

ACTIVE COMPARATOR

Students in this group received the same theoretical instruction on postoperative nursing care of cardiac surgery patients as the intervention group. They constructed case-based concept maps using textbooks, lecture notes, and course materials only, without the use of any chatbot or artificial intelligence-based tools.

Behavioral: Traditional concept mapping -Control Group

Interventions

In this study, pre-test and post-test assessments were administered to students in both the intervention and control groups. Data were collected using the Student Information Form, Concept Map Evaluation Checklist, Attitude Toward Concept Mapping Scale, and a postoperative nursing care knowledge test. Students in the intervention group received training on ChatGPT use and prompt formulation and utilized the chatbot during the creation of case-based concept maps. The control group completed the same concept mapping activities using traditional learning resources without chatbot support.

Chatbot-assisted concept mapping

Students in the control group received the same theoretical instruction on postoperative nursing care of cardiac surgery patients. They constructed case-based concept maps using textbooks, lecture notes, and course materials only, without the use of any chatbot or artificial intelligence-based tools.

Control group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Taking the surgical nursing course for the first time

You may not qualify if:

  • None

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Dokuz Eylul University,

Izmir, Turkey (Türkiye)

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Asst. Prof.

Study Record Dates

First Submitted

December 16, 2025

First Posted

December 30, 2025

Study Start

March 19, 2025

Primary Completion

April 14, 2025

Study Completion

April 14, 2025

Last Updated

December 30, 2025

Record last verified: 2025-06

Data Sharing

IPD Sharing
Will share
Shared Documents
STUDY PROTOCOL

Locations