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NCT07310940
CHATBOT USE ON NURSING STUDENTS
NA trial testing Chatbot-assisted concept mapping in to Examine the Effect of Chatbot Use on Nursing Students in 108 participants. Completed in 14 April 2025.
14 April 2025
Quick facts
| Lead sponsor | Dokuz Eylul University |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | other |
| Enrollment | 108 |
| Start date | 19 March 2025 |
| Primary completion | 14 April 2025 |
| Estimated completion | 14 April 2025 |
| Sites | 1 location across Turkey (Türkiye) |
Drugs / interventions tested
- Chatbot-assisted concept mapping
- Traditional concept mapping -Control Group
Conditions studied
- to Examine the Effect of Chatbot Use on Nursing Students — all drugs for to Examine the Effect of Chatbot Use on Nursing Students →
Sponsor
Dokuz Eylul University
Who can join
18 and older, any sex, with to Examine the Effect of Chatbot Use on Nursing Students. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT07310940
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07310940 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Dokuz Eylul University
- Last refreshed: 30 December 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07310940.
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