Assessment Model for Language Learners’ Writing Practice (in Preparing for TOEFL iBT) Based on Comparing Structure, Vocabulary, and Identifying Discrepant Essays
Duc Huu, Tu Phan Nguyen Ngoc · International Journal of Advanced Computer Science and Applications · 2016
This study aims to investigate if learners of English can improve computer-assisted writing skills through the analysis of the data from the post test. In this study, the focus was given to intermediate-level students of English taking final writing tests (integrated and independent responses) in preparation for TOEFL iBT. We manually scored and categorized the students’ writing responses into five-point levels for the data to make the software. The results of the study showed that the model could be suitable for computerized scoring for language instructors to grade in a fair and exact way and for students to improve their writing performance through practice on the computer