Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…

English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students' original writings in helping to improve their writing abilities. Therefore, we developed Smart…

While learners may have access to reference tools during second language (L2) writing, the latest developments in machine translation (MT), such as "Google Translate" requires examination as to how using the tool may factor into the second language learners' writing products. To this end, the purpose of this study was to examine how MT…

Linking research on task-based collaborative L2 writing and computer-mediated writing, this study investigates the relationship between patterns of collaboration and the linguistic features of texts written during a computer-supported collaborative writing task using Google Docs. Qualitative analyses provide insights into the writing process of…

Digital storytelling (DST) is one of the areas which has entered the field of foreign language education and has proved to be beneficial in learning different language skills. However, it remains underexplored whether and how DST can affect learners' writing skill and motivation to write. The present study sought to investigate the impact of DST…

In recent years, the use of English corpora to instruct grammar in writing classes has become increasingly popular. In English for Specific Purposes classes, such a novel approach is critically important since it not only allows teachers to achieve a profound understanding of which syntactic structures should be instructed, but it also increases…

Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…

Despite the current potential to use computers to automatically generate a large range of text-based indices, many issues remain unresolved about how to apply these data in established language teaching and assessment contexts. One way to resolve these issues is to explore the degree to which automatically generated indices, which are reflective…

This paper examines the potential effectiveness of MALL for developing teens' writing performance. The results reveal substantial improvement in content and ideas, organization and mechanics, vocabulary, and language use in favor of the experimental groups (viz. Smart Teens and Amazing Teens).