From Standards to Assessment: Using AI to Create Efficacy in the Educational Experience
Year: 2025
Type: article
Abstract: In the waning days of the COVID epidemic the education community and, more widely the press, began to use the team learning loss to explain the drop in student performance. Learning loss and poor student performance in general invariably pointed to the student as the point of failure. As researchers we asked the question what if it wasn’t the students but perhaps a teaching, curriculum or assessment failure. With that in mind we set out to identify, in operational educational environments if AI could facilitate a gap analysis from the beginning to the end of the lifecycle of that knowledge. Using past research and live data from US Medical Schools, often thought to be among the most rigorous educational environments, we found a need for AI tools to help the education community align standards, curriculum, instruction, and assessment.
Author: Edelblut, Paul
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7083672530
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