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Khaled ElEbyary; Ramy Shabara; Deena Boraie – Language Testing in Asia, 2024
Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, English (Second Language)
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Yonggang Gao; Lu Gan; Kaiyuan Wang – Education and Information Technologies, 2025
This investigation sought to discern the impacts of different electronic note-taking strategies--collaborative, individual, and a hybrid of both--on the academic writing skills of Chinese EFL graduate students. The study engaged 185 participants, systematically assigned to one of four groups: those practicing collaborative electronic note-taking,…
Descriptors: Notetaking, Computer Uses in Education, Collaborative Writing, Writing Skills
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John Bankier – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
The theory of language socialization and its subfield academic discourse socialization consider how newcomers are socialized into the practices and identities of communities through interaction with various communicative partners. Drawing on the framework of individual networks of practice, this case study considers the academic writing practices…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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Hetian Yu; Qin Xie – Language Teaching Research Quarterly, 2025
Generative AI has stormed the education community worldwide. Gen-AI's potential to assist teachers in providing feedback to students is the focus of the current research. Specifically, the research investigated how similar or different AI-generated feedback was from teacher feedback, and whether there were differences in students' responses to the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Revision (Written Composition)
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Yuguo Ke; Xiaozhen Zhou – SAGE Open, 2025
Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…
Descriptors: Writing Evaluation, Persuasive Discourse, Validity, Writing Teachers
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Hongzhi Yang; Chuan Gao; Hui-zhong Shen – Education and Information Technologies, 2024
Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students' submissions, this paper examined in detail how EFL students interacted with the…
Descriptors: Artificial Intelligence, Programming, Writing Evaluation, Computer Mediated Communication
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Razieh Mohammadi; Nasim Ghanbari; Abbas Abbasi – International Journal of Language Testing, 2024
As a formative assessment procedure, self-assessment aims to converge learners' and teachers' views in assessment. Hence, reducing the perceptual mismatches between the learners' and the teachers' assessments would positively affect the learning process. For this aim, the present study investigated to what extent the learners' assessment of their…
Descriptors: Foreign Countries, Evaluation Criteria, Differences, Students
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Teguh Budiharso; Imroatus Solikhah; Samsu Armadi; Rano Wandana – Novitas-ROYAL (Research on Youth and Language), 2024
This research uses Bloom's taxonomy in English-language writing and speaking skills assessment rubrics. A descriptive qualitative research method was adopted, and data were collected through observations, interviews, and English major students' course grades. Five lecturers and 25 students participated in the research, and the findings revealed…
Descriptors: Taxonomy, Scoring Rubrics, Evaluation Methods, Writing Evaluation
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Yves Bestgen – Applied Linguistics, 2024
Measuring lexical diversity in texts that have different lengths is problematic because length has a significant effect on the number of types a text contains, thus hampering any comparison. Treffers-Daller et al. (2018) recommended a simple solution, namely counting the number of types in a section of a given length that was extracted from the…
Descriptors: Language Variation, Second Language Learning, Essays, Writing Evaluation
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Leyli Kashef; Nasser Ghafoori; Akbar Valizadeh Oghani; Azadeh Mehrpouyan – International Journal of Language Testing, 2024
The present study explored the effects of interactionist Dynamic Assessment (DA) and age on the writing accuracy of IELTS candidates. This research investigated the existence of an interactional effect between the age of learners and the type of treatment they received. First, 140 IELTS candidates were split into two age groups, adult and young.…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Evaluation
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Li Dong – Reading and Writing: An Interdisciplinary Journal, 2024
Within the context of Chinese university education, effective communication in the field of second language writing heavily relies on lexical complexity, yet the role of writing feedback perception in relation to lexical complexity remains elusive. This study introduces a comprehensive writing feedback perception model encompassing perceptions of…
Descriptors: Foreign Countries, College Students, Feedback (Response), Writing Instruction
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Hailay Tesfay Gebremariam – SAGE Open, 2024
Although, written corrective feedback (hereafter referred to as CF) is applauded in many writing courses for fostering students' quality writing, its impact on grammatical accuracy in L2 students' writing remains a debated topic. Thus, this study looked into the effect of CF types on L2 students' grammatical accuracy in writing. To achieve this…
Descriptors: Outcomes of Education, Written Language, Feedback (Response), Error Correction
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Masrul Masrul; Santi Erliana – Journal of Education and Learning (EduLearn), 2024
Writing is hard for students who are learning English; they often find it challenging to transform what is on their mind in writing. Therefore, this study examined the relationship between the writing test and assessment writing through argumentative writing. Data was analyzed using the correlation test to determine the close relationship between…
Descriptors: Writing Tests, Writing Evaluation, Second Language Learning, English (Second Language)
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Xiaosheng Zhou; Ying Soon Goh – International Journal of Mobile and Blended Learning, 2025
This study introduces a mobile-assisted Seamless Chinese Vocabulary Learning (SCVL) framework and examines its efficacy through the implementation of a "sentence-paragraph-essay" artifact-making writing process designed to enhance vocabulary growth among tertiary-level students. Employing a design-based research methodology, the study…
Descriptors: Chinese, Second Language Instruction, Second Language Learning, Telecommunications
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Lucia Fraga-Viñas; Maria Bobadilla-Pérez – MEXTESOL Journal, 2025
The upsurge of ICT media and hybrid modalities for learning that stemmed from the world health crisis seem to be destined to stay. In this new paradigm, self-assessment processes have acquired an even more relevant role in the teaching learning process than they already had. Due to the myriad of academic online resources and information at their…
Descriptors: Student Evaluation, Self Evaluation (Individuals), Evaluation Methods, Scoring Rubrics
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