Early Results Show Promise for AI-Powered Grading Tools in APP Education
Generative artificial intelligence (AI) may reduce grading burden on faculty while maintaining a structured evaluation process in medical education, according to an ongoing analysis presented at the American Academy of Physician Associates (AAPA) 2026 annual conference, held from May 15 to 19, 2026, in New Orleans, Louisiana.
The study authors, led by Diana Brewer, PA-C, from Oregon Health & Science University in Portland, Oregon, evaluated whether an AI grading tool is comparable to human graders for clinical reasoning assessments assigned to advanced practice provider (APP) fellows.
The authors judged feedback from the AI grader on its accuracy and alignment, its actionability, its constructiveness, and its tone and communication style.
The study included 26 de-identified simulation-based assessments completed by APP fellows and a 3-grader model: a human grader, an expert grader, and an AI-powered grader. All of the grader types used the same rubric.
“By utilizing the standardized rubric, the AI supports consistency across different graders and specialties, provided that the platform can support scalable, competency-based assessment models,” the authors said.
The researchers judged feedback from the AI grader on its accuracy and alignment, its actionability, its constructiveness, and its tone and communication style. Interim results show that AI graders are comparable to humans, as no paired ratings in this study differed by more than 2 points.
“AI-assisted grading is a highly promising adjunct to traditional evaluation methods,” the authors explained. “While our ongoing analysis will definitively determine if the AI’s feedback quality is truly comparable to human experts, the baseline scoring concordance is an excellent start.”
If validated, AI-powered grading tools can ease strain on time and resources for medical education programs, the researchers stated.
“Looking to the future,” the authors concluded, “we aim to expand this technology across APP, PA, and NP training programs, ultimately integrating it directly into competency-based medical education practice.”
