Optimizing Embedded Assessment in (*Masked) Gaming Intervention: Thresholds and Patterns of Response Time and Accuracy

• In Event: AERA Roundtable Session Sunday 11:45 am - Gold 2
  In Roundtable Session: Technology and Innovation in Special and Education

Abstract

In this paper, we examined speed-accuracy trade-offs to gain insight into how students with math learning disabilities or difficulties solve math problems in a computer game. We present how we measured response time and accuracy of embedded assessment items in the game, used a diffusion model to find the “sweet spot” based on the observed and the predicted response thresholds, and applied a joint Item Response Theory model analysis to identify patterns of game-based math performance. We discuss how to address patterns and optimal thresholds of response time and accuracy for technology-based math interventions.

Authors

• Sam Choo, University of Minnesota

• Jechun An, University of Minnesota

• Nancy J. Nelson, Boston University

• Derek Kosty, Oregon Research Institute