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Atthasith Chuanpipatpong – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
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…
Descriptors: Foreign Countries, Error Analysis (Language), English (Second Language), Second Language Learning
McCarthy, Philip M.; Kaddoura, Noor W.; Al-Harthy, Ayah; Thomas, Anuja M.; Duran, Nicholas D.; Ahmed, Khawlah – Pegem Journal of Education and Instruction, 2022
This study analyzes the linguistic features of counter-arguments and support arguments using two computational linguistic tools: Coh-Metrix and Gramulator. The research question investigates whether counter-argument paragraphs and support paragraphs are different in terms of their linguistic features. To conduct this study, a corpus of 78…
Descriptors: Computational Linguistics, Connected Discourse, Discourse Analysis, Readability
Hwang, Wu-Yuin; Nurtantyana, Rio; Purba, Siska Wati Dewi; Hariyanti, Uun; Indrihapsari, Yuniar; Surjono, Herman Dwi – Journal of Educational Computing Research, 2023
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…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, English (Second Language)
Hosseinpur, Rasoul Mohammad; Pour, Hossein Hosseini – TESL-EJ, 2022
A compelling body of evidence suggests that EFL students have problem with logical connectors' appropriate use in writing. This study explored Iranian EFL students' adversative connectors use in their essay writing course. To this end, a Learner Corpus of 60393 words consisting of 156 essays was compiled. LOCNESS was chosen as the criterion…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Native Language
Chon, Yuah V.; Shin, Dongkwang – English Teaching, 2020
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…
Descriptors: Translation, Computational Linguistics, Second Language Learning, English (Second Language)
Abrams, Zsuzsanna I. – Language Learning & Technology, 2019
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…
Descriptors: Collaborative Writing, Computer Software, Second Language Learning, Second Language Instruction
Pham, Quy Huynh Phu – RELC Journal: A Journal of Language Teaching and Research, 2022
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…
Descriptors: Grammar, Teaching Methods, English (Second Language), Language Tests
Shi, Zhan; Liu, Fengkai; Lai, Chun; Jin, Tan – Language Learning & Technology, 2022
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…
Descriptors: Writing Instruction, Writing Evaluation, Feedback (Response), Accuracy
Al-Hamad, Raghda F.; Al-Jamal, Dina A. H.; Bataineh, Ruba F. – Digital Education Review, 2019
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).
Descriptors: Telecommunications, Handheld Devices, Second Language Learning, Second Language Instruction
Bailey, Daniel; Lee, Andrea Rakushin – TESOL International Journal, 2020
Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…
Descriptors: Grammar, Computer Assisted Instruction, Error Correction, Feedback (Response)