Evidence map›Paper›PMID 41068907›Full record

Trial reportBMC medical education2025

Effects of artificial intelligence based physiotherapy educational approach in developing clinical reasoning skills: a randomized controlled trial.

Gizem Ergezen Sahin, Gulay Aras Bayram, Alberto Sanchez Sierra, Simay Akdemir, Dogukan Kurc, Devrim Tarakci, Ayse Nur Tunali

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07010991 (Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills in Physiotherapy Students), which is not on this map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07010991 narecruitingnot on this map

Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills in Physiotherapy Students

TypeinterventionalSponsorMedipol UniversityRan2025 to 2025Enrolled40ConditionsStudent, Student Engagement, Student EducationArmsAI based clinical problem solving education, Traditional Low Back Pain Education
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Article
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gizem Ergezen SahinFaculty of Health Sciences, Physiotherapy and Rehabilitation, Istanbul Medipol University, Beykoz, Istanbul, 34810, Türkiye. gergezen@medipol.edu.tr.ORCID http://orcid.org/0000-0002-2851-9774
Gulay Aras BayramFaculty of Health Sciences, Physiotherapy and Rehabilitation, Istanbul Medipol University, Beykoz, Istanbul, 34810, Türkiye.ORCID http://orcid.org/0000-0002-5592-7546
Alberto Sanchez SierraGrupo de Investigación en Fisioterapia Toledo (GIFTO), Facultad de Fisioterapia y Enfermería, Universidad de Castilla-La Mancha, Toledo, Spain.ORCID http://orcid.org/0000-0002-1645-8417
Simay AkdemirFaculty of Health Sciences, Physiotherapy and Rehabilitation, Istanbul Medipol University, Beykoz, Istanbul, 34810, Türkiye.ORCID http://orcid.org/0000-0002-3099-307X
Dogukan KurcFaculty of Health Sciences, Physiotherapy and Rehabilitation, Istanbul Medipol University, Beykoz, Istanbul, 34810, Türkiye.ORCID http://orcid.org/0000-0002-4067-3598
Devrim TarakciFaculty of Health Sciences, Ergotherapy, Istanbul Medipol University , Istanbul, Türkiye.ORCID http://orcid.org/0000-0001-9804-368X
Ayse Nur TunaliFaculty of Health Sciences, Physiotherapy and Rehabilitation, Istanbul Medipol University, Beykoz, Istanbul, 34810, Türkiye.ORCID http://orcid.org/0000-0002-0584-403X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) tools such as ChatGPT are increasingly being integrated into health professions education, but evidence regarding their application in physiotherapy remains limited. This study aims to investigate the impact of AI-assisted problem-based learning (AI-PBL) on theoretical knowledge, clinical competence, AI self-efficacy, internet addiction, and reading motivation compared with traditional PBL.

methodsA randomized controlled trial was conducted with undergraduate physiotherapy students assigned to AI-PBL or PBL groups. Participants completed assessments before, immediately after, and two weeks after the group intervention. Outcome measures included a theoretical knowledge test, the Mini Clinical Evaluation Exercise (Mini-CEX), the AI ​​Self-Efficacy Scale (AI-SES), the Internet Addiction Test (IAT), and the Adult Reading Motivation Scale (ARMS).

resultsForty students were randomized equally into two groups: AI-PBL (n = 20) and traditional PBL (n = 20). Both groups showed significant improvements in knowledge and reading motivation. The AI-PBL group showed significantly greater improvement in knowledge retention at 2 weeks (Cohen's d = 3.14) and greater gains in AI self-efficacy. Although Mini-CEX scores were higher in the AI-PBL group, the differences between groups were not statistically significant. No significant increase in internet addiction was observed in the AI-PBL group.

conclusionThese findings emphasize that supervised, structured use of generative AI in education can enhance sustained learning and digital self-efficacy without posing behavioral risks. The AI-PBL approach appears to foster active reflection, self-directed learning, and deeper academic engagement offering a promising direction for digital innovation in physiotherapy education. Future studies should explore long-term outcomes, track behavioral engagement, and further validate the benefits of AI-enhanced instructional strategies.

trial registrationPrior to the initiation of the study, the protocol was registered on https//www. CLINICALTRIALS: gov/, and registration status was made publicly available (Identifier NCT07010991 Date 08.06.2025). ( https://clinicaltrials.gov/study/NCT07010991?term=NCT07010991&rank=1 ).

Indexed as

Artificial IntelligenceClinical CompetenceClinical ReasoningPhysical Therapy ModalitiesPhysical Therapy SpecialtyProblem-Based LearningAdultEducational MeasurementFemaleHumansMaleSelf EfficacyYoung AdultAI self-efficacyArtificial intelligenceClinical competenceInternet addictionPhysiotherapy educationProblem-based learningReading motivation

Identifiers

PMID41068907
PMCPMC12512892

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.