Trial reportInternational journal of clinical pharmacy2025
Impact of artificial intelligence on the academic performance and test anxiety of pharmacy students in objective structured clinical examination: a randomized controlled trial.
Trial report in International journal of clinical pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR medical education · 2026Pooled it
- Generative AI Mental Health Chatbots as Therapeutic Tools: Systematic Review and Meta-Analysis of Their Role in Reducing Mental Health Issues.Journal of medical Internet research · 2025Pooled it
- Learner emotions in AI-assisted English as a second/foreign language learning: a systematic review of empirical studies.Frontiers in psychology · 2025Pooled it
- A research roadmap for AI opportunities in student assessment for medical education.BMC medical education · 2025Review
- Ten tips for utilizing AI to generate high quality OSCE stations in medical education.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rapid advancement of generative artificial intelligence (AI) in recent years has led to its increased application across various fields including education. One area where AI can significantly impact is clinical education, particularly in the preparation and execution of objective structured clinical examinations (OSCEs).
aimThis study aimed to evaluate the impact of AI-generated study material and feedback on the academic performance and level of anxiety of pharmacy students in formative OSCE.
methodThis was a 4-week (June-July 2024) randomized controlled study. Students of 6th semester PharmD program were randomized into either an intervention or control group. The intervention group received intervention which comprised a comprehensive training session on how to use AI tools (ChatGPT, Gemini and Perplexity) for generating study materials with personalized feedback, in addition to usual OSCE instructions. The control group only received the usual OSCE instructions. In addition, all students completed the test anxiety inventory (TAI) questionnaire before the OSCE.
resultsEighty-eight (40 male, 48 female) out of 92 (96%) students attended the OSCE and completed the TAI questionnaire. Each group had 44 (50%) students. The mean OSCE mark was 13.26 (± 5.05) out of 30. No significant difference was found between the intervention [12.98 (± 5.15)] and control [13.54 (± 5.00)] groups regarding mean OSCE marks (p = 0.550). Similarly, no significant difference was found between the groups regarding the total TAI score (p = 0.917).
conclusionWhile the use of AI tools did not improve the academic performance of students or reduce test-related anxiety, they did not negatively impact these outcomes either. Future research should investigate the long-term effects of AI-based interventions on educational outcomes.
Indexed as
Identifiers
39903358What OpenQuestion holds
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.