Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically examined the factors that impact MHA disparities in this growing field, thus constraining the…

IF-AT (also called answer until correct) is a revised form of traditional multiple-choice testing. It was created to provide instant feedback during testing and to tap into partial knowledge of learners. The purposes of this meta-analytic study were to compare the effectiveness of IF-AT with the traditional multiple-choice test; to assess…