Data

Effectiveness of ChatGPT-4o in developing continuing professional development plans for graduate radiographers: a descriptive study

Charles Sturt University
Chau, Minh ; Arruzza, Elio Stefan ; Spuur, Kelly ; Cho, A Ra
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.7910/dvn/brqfxf&rft.title=Effectiveness of ChatGPT-4o in developing continuing professional development plans for graduate radiographers: a descriptive study&rft.identifier=10.7910/dvn/brqfxf&rft.publisher=Harvard Dataverse&rft.description=This study evaluates the use of ChatGPT-4o in creating tailored continuing professional development (CPD) plans for radiography students, addressing the challenge of aligning CPD with Medical Radiation Practice Board of Australia (MRPBA) requirements. We hypothesized that ChatGPT-4o could support students in CPD planning while meeting regulatory standards. A descriptive, experimental design was used to generate 3 unique CPD plans using ChatGPT-4o, each tailored to hypothetical graduate radiographers in varied clinical settings. Each plan followed MRPBA guidelines, focusing on computed tomography specialization by the second year. Three MRPBA-registered academics assessed the plans using criteria of Appropriateness, Timeliness, Relevance, Reflection, and Completeness from October 2024 to November 2024. Ratings underwent analysis using the Friedman test and Intraclass Correlation Coefficient (ICC) to measure consistency among evaluators.&rft.creator=Chau, Minh &rft.creator=Arruzza, Elio Stefan &rft.creator=Spuur, Kelly &rft.creator=Cho, A Ra &rft.date=2024&rft.relation=http://researchoutput.csu.edu.au/en/publications/09dd7591-21ed-40ea-9566-8037b3c7e6c2&rft.coverage=Australia&rft.type=dataset&rft.language=English Access the data

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This study evaluates the use of ChatGPT-4o in creating tailored continuing professional development (CPD) plans for radiography students, addressing the challenge of aligning CPD with Medical Radiation Practice Board of Australia (MRPBA) requirements. We hypothesized that ChatGPT-4o could support students in CPD planning while meeting regulatory standards. A descriptive, experimental design was used to generate 3 unique CPD plans using ChatGPT-4o, each tailored to hypothetical graduate radiographers in varied clinical settings. Each plan followed MRPBA guidelines, focusing on computed tomography specialization by the second year. Three MRPBA-registered academics assessed the plans using criteria of Appropriateness, Timeliness, Relevance, Reflection, and Completeness from October 2024 to November 2024. Ratings underwent analysis using the Friedman test and Intraclass Correlation Coefficient (ICC) to measure consistency among evaluators.

Notes

External Organisations
University of South Australia; Journal of Educational Evaluation for Health Professions
Associated Persons
Elio Stefan Arruzza (Creator); A Ra Cho (Contributor)

Created: 2024-10 to 2024-11

Issued: 2024-11-13

Data time period: 2024-10 to 2024-11

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Spatial Coverage And Location

text: Australia

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