Evaluation of Transformer-Based Neural Language Models for Writing Feedback and Automated Essay Scoring
Temesgen Abraha,
Amril Nazir
Abstract:Writing remains a challenging skill for many students due to inadequate feedback tools. There is a need to develop more effective tools for supporting students’ writing skill development. This study aims to evaluate the effectiveness of transformer-based neural language models for assessing and automatically scoring argumentative essays written by 8th-12th grade English Language Learners (ELLs). The students’ English essays were assessed and scored based on six criteria, including cohesion, syntax, vocabulary,… Show more
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