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Ima Fitriyah; Ary Setya Budhi Ningrum; Imelda Gozali – International Journal of Language Testing, 2024
Written corrective feedback (WCF) becomes an essential part of students writing development. The efficacy of WCF for EFL learners has been the subject of numerous studies. However, the studies neglected the idea of the feedback literacy. Thus, this study aimed to investigate how two English teachers provide WCF, what students expect from their…
Descriptors: Feedback (Response), English (Second Language), Writing Evaluation, Expectation
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Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
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Jessie S. Barrot – Education and Information Technologies, 2024
This bibliometric analysis attempts to map out the scientific literature on automated writing evaluation (AWE) systems for teaching, learning, and assessment. A total of 170 documents published between 2002 and 2021 in Social Sciences Citation Index journals were reviewed from four dimensions, namely size (productivity and citations), time…
Descriptors: Educational Trends, Automation, Computer Assisted Testing, Writing Tests
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Yu Zhou; Shulin Yu; Peisha Wu – RELC Journal: A Journal of Language Teaching and Research, 2024
While a plethora of studies have been conducted on corrective feedback in L2 writing, praise as feedback has received less attention in L2 writing despite its well-acknowledged motivating functions in education and psychology (For economy of expression, the word "praise" will be used consistently throughout this paper to denote…
Descriptors: Positive Reinforcement, Feedback (Response), Second Language Learning, Writing (Composition)
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Glauco De Vita; Jason Begley – Studies in Higher Education, 2024
Debate about the defining features of 'doctorateness' or what examiners look for in a PhD thesis is on-going, but hardly any attention has been paid in related literature to Postgraduate Researchers' (PGRs) perceptions of the key attributes that make a PhD thesis excellent. In this study we examine the state of play of the former to then go on to…
Descriptors: Doctoral Students, Doctoral Dissertations, Student Research, Researchers
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Dayna Henry; Julia Sell; Lucy Bryan Malenke – New Directions for Teaching and Learning, 2024
The chapter describes the design, implementation, and evaluation of repeated peer review assignments in a health sciences program. Details of the assignment, quantitative and qualitative indirect assessments, and considerations for implementing this type of assignment in other courses are provided.
Descriptors: Peer Evaluation, Assignments, Skill Development, Research Skills
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Kiana Hines; Carla Wood; Keisey Fumero – Communication Disorders Quarterly, 2024
School-age English learners (ELs) are faced with the challenging task of acquiring a foreign language while simultaneously reading academically demanding literature. Therefore, the current research aimed to examine the relation between the rate of grammatical tense marking errors made by ELs and their performance on measures of reading…
Descriptors: English Language Learners, Grammar, Morphemes, Error Patterns
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Xiaoli Huang; Wei Xu; Fan Li; Zhonggen Yu – Asia-Pacific Education Researcher, 2024
With the rapid advancement of information technologies, automated writing evaluation technologies have developed so fast that they can be applied to writing assessments. However, scanty studies have pooled the effects of automated writing evaluation on writing performance. Through a PRISMA protocol-based meta-analysis, this study concludes that…
Descriptors: Writing Evaluation, Automation, Writing Attitudes, Anxiety
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Maira Klyshbekova; Pamela Abbott – Electronic Journal of e-Learning, 2024
There is a current debate about the extent to which ChatGPT, a natural language AI chatbot, can disrupt processes in higher education settings. The chatbot is capable of not only answering queries in a human-like way within seconds but can also provide long tracts of texts which can be in the form of essays, emails, and coding. In this study, in…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Evaluation Methods
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Liang Liao – Teaching in Higher Education, 2024
This study explores how assessment criteria are applied in grading student work. It is found that explicit assessment criteria do not work as authoritative guidance as expected and that tacit criteria are more decisive in awarding a certain grade. Various sources that form idiosyncratic tacit criteria are identified. These sources, including…
Descriptors: Student Evaluation, Grading, Criterion Referenced Tests, Criteria
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Ebru Öztürk; Erol Duran – Educational Policy Analysis and Strategic Research, 2024
In this study, it was aimed to develop a rubric to evaluate the creative story writing skill levels of seventh grade secondary school students. The research was designed in quantitative research method and survey model. In the research, convenience sampling technique was used and 270 students studying at the seventh grade level of secondary school…
Descriptors: Scoring Rubrics, Writing Evaluation, Creative Writing, Middle School Students
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Dadi Ramesh; Suresh Kumar Sanampudi – European Journal of Education, 2024
Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…
Descriptors: Scoring, Essays, Writing Evaluation, Memory
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Jechun An – Society for Research on Educational Effectiveness, 2024
Teachers need instructionally useful data to make timely and appropriate decisions to meet their students with intensive needs (Filderman et al., 2019). Teachers have still experienced difficulty in instructional decision making in response to students' CBM data (Gesel et al., 2021). This is because data itself that was used for simply determining…
Descriptors: Educational Research, Research Problems, Elementary School Students, Writing Skills
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Meaghan McKenna; Hope Gerde; Nicolette Grasley-Boy – Reading and Writing: An Interdisciplinary Journal, 2025
This article describes the development and administration of the "Kindergarten-Second Grade (K-2) Writing Data-Based Decision Making (DBDM) Survey." The "K-2 Writing DBDM Survey" was developed to learn more about current DBDM practices specific to early writing. A total of 376 educational professionals (175 general education…
Descriptors: Writing Evaluation, Writing Instruction, Preschool Teachers, Kindergarten
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Michael Smith – English in Education, 2025
This paper addresses the question of how classroom-based peer assessment practices can be improved in relation to student interpretations of subjective assessment criteria. To achieve this, this research study considers the possible pedagogic benefits and implications of using a comparative judgement (CJ) approach to the peer assessment of GCSE…
Descriptors: Foreign Countries, Secondary School Students, Exit Examinations, Creative Writing
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