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Leveraging Background Knowledge Measures to Predict Performance in Scenario-Based Assessments

Fri, April 12, 10:05 to 11:05am, Convention Center, Floor: First, 121C

Abstract

Personalization of tasks based on students’ funds of knowledge, can be a useful method to foster their engagement and learning. This study examined multiple approaches to measure students’ background knowledge related to a scenario-based assessment topic and the degree to which different measures predicted performance on the assessment.

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