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Xiao Dong; Betty Anne Younker – Action, Criticism, and Theory for Music Education, 2025
Research into using AI for editing doctoral dissertation work in music education and a subsequent review of literature prompted this collaborative investigation. Specifically, this paper examines ChatGPT-Human collaboration in doctoral dissertation writing and editing through the lens of Martin Buber's (1958) "I-Thou" relation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Doctoral Dissertations
Huixiao Le; Yuan Shen; Zijian Li; Mengyu Xia; Luzhen Tang; Xinyu Li; Jiyou Jia; Qiong Wang; Dragan Gaševic; Yizhou Fan – British Journal of Educational Technology, 2025
Understanding learners' preferences in educational settings is crucial for optimizing learning outcomes and experience. As artificial intelligence (AI) becomes increasingly integrated into educational contexts, it is crucial to understand learners' preferences between AI and human tutors to support their learning. While AI demonstrates growing…
Descriptors: Student Attitudes, Preferences, Electronic Learning, Artificial Intelligence
Yuan Yao; Xinhua Zhu – Reading and Writing: An Interdisciplinary Journal, 2024
The feedback-seeking behavior (FSB) framework offers a novel perspective for analyzing second language (L2) learners' proactive agency in processing teacher feedback. While research has identified associations among language mindsets, goal orientations, and FSB in L2 speaking classes, this line of inquiry should be extended to L2 writing education…
Descriptors: Foreign Countries, High School Students, Grade 12, Feedback (Response)
Yang Yang; Ze Zheng – Contemporary Educational Technology, 2024
In the existing literature, scholars have proposed various indices to measure the lexical richness (LR) of English as a foreign language (EFL) writing. However, there are currently issues of redundant indices and inconsistent usage. Attempting to address the research question of which indices are the most sensitive and effective ones to…
Descriptors: Foreign Countries, Lexicology, English (Second Language), Writing (Composition)
Wenxiao Zhang; Yanqing Li; Wan Zhang – Assessment & Evaluation in Higher Education, 2024
This quasi-experiment tested whether co-constructing a writing rubric gives students an advantage over only using the co-constructed rubric. We used students' perception and use of the rubric, and their writing performance as outcome variables. One hundred and twenty-six second-year university students who enrolled in an elective course…
Descriptors: Scoring Rubrics, Teacher Student Relationship, Student Participation, Writing (Composition)
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
Mohammad Bagheri – Cogent Education, 2024
Task-based language teaching (TBLT) has occupied an important place in the field of language education; however, some of TBLT dimensions that pertain to the interaction between task design features, written corrective feedback (WCF), and learners' performance have not received adequate attention in past studies. To fill this gap, the current study…
Descriptors: Task Analysis, Second Language Instruction, English (Second Language), Error Correction
Jude Brady; Martina Kuvalja; Alison Rodrigues; Sarah Hughes – Research Matters, 2024
This study explores undergraduate students' use of ChatGPT when writing essays. Three students were tasked with writing two essays each for a coursework component for a Cambridge qualification facilitated by access to ChatGPT. After writing the essays, they participated in semi-structured interviews about their experiences of using the technology.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Undergraduate Students, Writing (Composition)
Paul Deane; Duanli Yan; Katherine Castellano; Yigal Attali; Michelle Lamar; Mo Zhang; Ian Blood; James V. Bruno; Chen Li; Wenju Cui; Chunyi Ruan; Colleen Appel; Kofi James; Rodolfo Long; Farah Qureshi – ETS Research Report Series, 2024
This paper presents a multidimensional model of variation in writing quality, register, and genre in student essays, trained and tested via confirmatory factor analysis of 1.37 million essay submissions to ETS' digital writing service, Criterion®. The model was also validated with several other corpora, which indicated that it provides a…
Descriptors: Writing (Composition), Essays, Models, Elementary School Students
Debra McKeown; Michael R. Williams – Beyond Behavior, 2024
Preservice teacher candidates acquire and develop numerous competencies in their teaching programs, including how to teach writing. Effective writing instruction is critical across all ages and content areas, especially when working with students with and at risk of emotional and behavioral disorders, making it an important aspect of teacher…
Descriptors: Preservice Teachers, Behavior Disorders, Emotional Disturbances, Writing Instruction
Fiialka, Svitlana; Trishchuk, Olga; Figol, Nadija; Faichuk, Tetiana – Advanced Education, 2021
The authors discuss the issues and benefits of collaborative writing in journalistic education, comparing the texts written by students in different conditions: in group collaboration, individually after prewriting group discussion, and individually without any collaboration. We used a survey for collecting both quantitative and qualitative data.…
Descriptors: Journalism Education, Collaborative Writing, Writing Evaluation, Undergraduate Students
Zahn, Daniela; Canton, Ursula; Boyd, Victoria; Hamilton, Laura; Mamo, Josianne; McKay, Jane; Proudfoot, Linda; Telfer, Dickson; Williams, Kim; Wilson, Colin – Studies in Higher Education, 2021
Evaluating the impact of Academic Literacies teaching (Lea and Street [1998. "Student Writing in Higher Education: An Academic Literacies Approach." "Studies in Higher Education" 23 (2): 157-72. doi:10.1080/03075079812331380364]) is difficult, as it involves gauging whether writers: (1) gain better understanding of what…
Descriptors: Writing Evaluation, Evaluation Methods, Undergraduate Students, Foreign Countries
Shin, Dongkwang; Kwon, Suh Keong; Lee, Yongsang – Language Testing in Asia, 2021
Language learners today have access to a much wider choice of resources and language-support tools that aid their writing processes. While research on the convenience and flexibility of the writing resources that learners use in real-life writing activities have argued for a re-conceptualization of writing ability, little is known about the effect…
Descriptors: Second Language Learning, Writing Evaluation, Writing (Composition), Writing Tests
McCaffrey, Daniel; Holtzman, Steven; Burstein, Jill; Beigman Klebanov, Beata – Grantee Submission, 2021
Low retention rates in college is a policy concern for US postsecondary institutions, and writing is a critical competency for college (Graham, 2019). This paper describes an exploratory writing analytics study at six 4-year universities aimed at gaining insights about the relationship between college retention and writing. Findings suggest that…
Descriptors: College Students, School Holding Power, Writing Ability, Writing Evaluation
Wen Xin – ProQuest LLC, 2021
Metadiscourse comprises the linguistic resources used by writers to organize texts, engage readers, project stances towards their texts or readers, or position themselves in relation to readers (e.g. "I suggest," "however," "for example," "perhaps," "it is clear that," "interesting").…
Descriptors: Freshman Composition, Writing Evaluation, Feedback (Response), Written Language

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