Using Machine Learning to Score Multi-Dimensional Assessments

Don't miss the new article by Sarah Maestrales, Xiaoming Zhai, Israel Touitou, Quinton Baker, Barbara Schneider, and Joe Krajcik that discusses how machine learning shows promise as a valuable alternative to human scoring on tests that measure three-dimensional responses.

For more information about the Journal of Science Education and Technology, go to https://www.springer.com/journal/10956

 

Picture of cover of JOST and logo