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…

The present study was conducted to find out the effect of reconstruction activities on grade XI students' English writing skills which included mechanical accuracy I (punctuations) and mechanical accuracy II (spellings). The study was carried out employing a pre-test post-test experimental control group design. A government degree college for boys…

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…