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Zhang, Haoran; Litman, Diane – Grantee Submission, 2018
This paper presents an investigation of using a co-attention based neural network for source-dependent essay scoring. We use a co-attention mechanism to help the model learn the importance of each part of the essay more accurately. Also, this paper shows that the co-attention based neural network model provides reliable score prediction of…
Descriptors: Essays, Scoring, Automation, Artificial Intelligence
Masumeh Rahimivand; Saeideh Ahangari; Nasrin Hadidi Tamjid – Language Testing in Asia, 2025
Writing comprehensibly, dynamically, and persuasively in a foreign language is a significant challenge for learners. Written communication assesses language and writing progress for various summative and developmental goals. Scenario-based assessment (SBA), as one of the methodologies of classroom-based assessment (CBA), aims to elicit both…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
Yoshimasa Ogawa – Journal of Response to Writing, 2025
This study explored a way to help Japanese university students write longer essays while maintaining grammatical accuracy. Participants were three groups of students enrolled in a one-year EFL course in different academic years (N = 111), and the number of words they wrote in 30 minutes and the number of errors made per 100 words were compared. To…
Descriptors: English (Second Language), Second Language Learning, Accuracy, Writing Evaluation
Jamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
War War Yu; Jeffrey Dawala Wilang – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
Artificial intelligence (AI) tools are becoming increasingly widespread in EFL classrooms as many applications support students in various aspects of language learning. Consequently, many EFL teachers are adapting to and embracing AI as a practical aid in their teaching. This study investigates Myanmar EFL teachers' perceptions of AI writing…
Descriptors: Foreign Countries, Language Teachers, Teacher Attitudes, Second Language Instruction
Yan Liu – Higher Education Evaluation and Development, 2025
Purpose: This study intended to bridge the gap by investigating Chinese master's students' perceptions of their supervisors' use of evaluative language in feedback, from both cognitive and affective perspectives, at a Sino-foreign university in mainland China. Design/methodology/approach: Employing a qualitative research design, 12 participants…
Descriptors: Masters Programs, Graduate Students, Supervisor Supervisee Relationship, Feedback (Response)
Reza Zabihi; Danial Erfanitabar – RELC Journal: A Journal of Language Teaching and Research, 2024
This study investigated the efficacy of varying degrees of written corrective feedback (WCF) explicitness on the accuracy of revised drafts and new pieces of writing among learners of different proficiency levels. A total of 130 learners of English were divided into three proficiency groups (basic, independent, and proficient users), with learners…
Descriptors: Writing Instruction, Second Language Learning, Second Language Instruction, Revision (Written Composition)
Robai N. Werunga; Ya-yu Lo – Journal of Emotional and Behavioral Disorders, 2024
Teachers of students with emotional and behavioral disorders (EBD) often struggle with simultaneously meeting students' writing and behavioral needs. Building on existing Self-Regulated Strategy Development (SRSD) literature, this study investigated the collateral effects of SRSD with social skills prompts on the writing outcomes and problem…
Descriptors: Elementary School Students, Grade 3, Grade 4, Grade 5
Özkan Kirmizi; Hatice Kübra Er – Novitas-ROYAL (Research on Youth and Language), 2024
Given that interaction patterns are one of the most critical components of the collaborative writing (CW) strategy, especially regarding text quality, the present study investigates the interaction patterns of argumentative text quality in CW at advanced-level undergraduate L2 writing. Ninety-five undergraduate learners participated in the…
Descriptors: Collaborative Writing, Scoring Rubrics, Persuasive Discourse, Writing Evaluation
Yumei Zou; Sathiamoorthy Kannan; Gurnam Kaur Sidhu – SAGE Open, 2024
Task design has been viewed to be essential in the context of language assessment. This study investigated whether increasing task complexity affects learners' writing performance. It employs three writing tasks with different levels of complexity based on Robinson's Componential Framework. A cohort of 278 participants was selected using a simple…
Descriptors: Difficulty Level, College Students, Foreign Countries, Writing Achievement
Besma Allagui; Shamma Al Naqbi – TESL-EJ, 2024
Vocabulary knowledge plays an important role in writing. Previous research has examined the relationship between various aspects of vocabulary knowledge and independent writing performance and limited attention has been given to integrated writing such as summary writing. Our study investigated the contribution of two aspects of vocabulary…
Descriptors: Writing Skills, Vocabulary Skills, Correlation, English (Second Language)
Kai Guo; Deliang Wang – Education and Information Technologies, 2024
ChatGPT, the newest pre-trained large language model, has recently attracted unprecedented worldwide attention. Its exceptional performance in understanding human language and completing a variety of tasks in a conversational way has led to heated discussions about its implications for and use in education. This exploratory study represents one of…
Descriptors: Feedback (Response), English (Second Language), Artificial Intelligence, Natural Language Processing
Jae Q. J. Liu; Kelvin T. K. Hui; Fadi Al Zoubi; Zing Z. X. Zhou; Dino Samartzis; Curtis C. H. Yu; Jeremy R. Chang; Arnold Y. L. Wong – International Journal for Educational Integrity, 2024
The application of artificial intelligence (AI) in academic writing has raised concerns regarding accuracy, ethics, and scientific rigour. Some AI content detectors may not accurately identify AI-generated texts, especially those that have undergone paraphrasing. Therefore, there is a pressing need for efficacious approaches or guidelines to…
Descriptors: Artificial Intelligence, Investigations, Identification, Human Factors Engineering
Qian Du; Ying Liu – Language Teaching Research, 2024
We examined how a group of Chinese undergraduate students understood paraphrasing and source use conventions for research paper writing in English. Prior scholarship has generated valuable insights about novice second language (L2) writers' unconventional source use practices, but little is known about how these writers interpret and understand…
Descriptors: Student Attitudes, Undergraduate Students, Writing Instruction, English for Academic Purposes
Crossley, Scott A.; Kim, Minkyung; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2019
Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students' summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However,…
Descriptors: Automation, Writing Evaluation, Natural Language Processing, Artificial Intelligence

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