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.

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