This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

This report focuses on the initial development of the predicted score paths for ACT Aspire reporting. The paths provide predicted score ranges for the next two years--as well as predicted ACT score ranges for tests administered at grades 9 and 10. Longitudinal ACT Aspire data for students tested in spring 2013 and spring 2014, as well as…