TY - JOUR
T1 - A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research in medical education
AU - Masters, Ken
AU - Salcedo, Daniel
N1 - Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024/1/16
Y1 - 2024/1/16
N2 - Advances in Artificial Intelligence (AI) have led to AI systems’ being used increasingly in medical education research. Current methods of reporting on the research, however, tend to follow patterns of describing an intervention and reporting on results, with little description of the AI in the system, or the many concerns about the use of AI. In essence, the readers do not actually know anything about the system itself. This paper proposes a checklist for reporting on AI systems, and covers the initial protocols and scoping, modelling and code, algorithm design, training data, testing and validation, usage, comparisons, real-world requirements, results and limitations, and ethical considerations. The aim is to have a systematic reporting process so that readers can have a comprehensive understanding of the AI system that was used in the research.
AB - Advances in Artificial Intelligence (AI) have led to AI systems’ being used increasingly in medical education research. Current methods of reporting on the research, however, tend to follow patterns of describing an intervention and reporting on results, with little description of the AI in the system, or the many concerns about the use of AI. In essence, the readers do not actually know anything about the system itself. This paper proposes a checklist for reporting on AI systems, and covers the initial protocols and scoping, modelling and code, algorithm design, training data, testing and validation, usage, comparisons, real-world requirements, results and limitations, and ethical considerations. The aim is to have a systematic reporting process so that readers can have a comprehensive understanding of the AI system that was used in the research.
KW - Artificial intelligence
KW - medical education
KW - technology enhanced learning
UR - http://www.scopus.com/inward/record.url?scp=85182479890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85182479890&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b7878ecb-8d1e-3d3a-bd1b-676cb480cd0a/
U2 - 10.1080/0142159x.2023.2298756
DO - 10.1080/0142159x.2023.2298756
M3 - Article
C2 - 38227374
AN - SCOPUS:85182479890
SN - 0142-159X
SP - 1
EP - 5
JO - Medical Teacher
JF - Medical Teacher
ER -