2019 Graduate Student Research Award

Building Personalized High-stakes Assessments with Recommender Systems

WHEN: Tuesday, March 19th, 4:15 PM - 5:15 PM

WHERE: Celebration 12 & 13

Recommender systems are typically used for sales and marketing by training machine learning models to efficiently predict user preferences. Advancements in recommender system technology present an opportunity within the testing industry to personalize a wide range of assessment and learning instruments. Personalized instruments can be used on relatively heterogenous groups to serve material appropriate for specific individuals. This presentation outlines an application of recommender system technology in the assessment industry. The presentation discusses the development, efficacy, and implications of the American Board of Pediatrics Maintenance of Certification Assessment for Pediatrics recommender system.

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