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…

On the Partnership for Assessment of Readiness for College and Careers (PARCC) assessments, the attainment of performance level 4 is intended to indicate college readiness or being "on track" to college and career readiness. Students who achieve Level 4 should have a 0.75 probability of attaining at least a C in entry-level,…

The Berge et al. article in this volume presents the functional construct of writing that underlies summative and formative assessment of writing as a key competency in Norway. A functional construct implies that specific acts of writing and their purposes constrain what is a relevant selection among the semiotic resources that writing generally…

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…

The e-rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e-rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and…