Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

Automated Writing Evaluation programs have been used extensively to assist both L2 instructors and learners to get corrective feedback and to score students' final product of writing. Research has found that the AWE programs help in optimizing the writing output. However, little is known about the hybrid mode; use of AWE involving the evaluation…

This paper aims at accentuating and exploring the effect of using electronic portfolio (EP) platform in providing corrective feedback (CF) on EFL students' overall and micro-componential writing performance. Moreover, by conducting a semi-structured interview, the study seeks to obtain students' attitudes towards the use of EP in three aspects,…

The error-correction program "Criterion" provides students with an immediate essay feedback using tools that can analyze and review writing automatically. This feedback covers grammar, usage, mechanics, style, organization, and development. With its diagnostic tools for scoring essays and offering relevant feedback, the error-correction…

Collocations are one of the most important elements in language proficiency but the effect of error correction feedback of collocations has not been thoroughly examined. Some researchers report the usefulness and importance of error correction (Hyland, 1990; Bartram & Walton, 1991; Ferris, 1999; Chandler, 2003), while others showed that error…