Exploring the Machine Learning Approach to Evaluate Validities of A Game-Based Assessment

• In Event: GSIC Poster Session I

Abstract

This study uses machine learning techniques to assess a cognitive GBA's validities, utilizing data from Landers et al. (2021). We used random forest models and variable importance calculations to support the GBA's construct and criterion-related validities. The results showed the promising potential of utilizing machine learning in the GBA field.

Authors

• Xinyue Deng

• Heining Cham, Fordham University