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Quinn, David M. – Education Next, 2021
Schools and policymakers are mandating new anti-bias training for teachers in an attempt to improve racial attitudes. Decades of research have shown that teachers often give racially biased evaluations of student work and that biased evaluations can affect students' future learning and course-taking decisions. However, less is known about what…
Descriptors: Racism, Grading, Student Evaluation, Scoring Rubrics
Wilson, Joshua; Huang, Yue; Palermo, Corey; Beard, Gaysha; MacArthur, Charles A. – Grantee Submission, 2021
This study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Computer Software
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Sumner, Josh – Research-publishing.net, 2021
Comparative Judgement (CJ) has emerged as a technique that typically makes use of holistic judgement to assess difficult-to-specify constructs such as production (speaking and writing) in Modern Foreign Languages (MFL). In traditional approaches, markers assess candidates' work one-by-one in an absolute manner, assigning scores to different…
Descriptors: Holistic Approach, Student Evaluation, Comparative Analysis, Decision Making
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Yasuyo Sawaki; Yutaka Ishii; Hiroaki Yamada; Takenobu Tokunaga – Language Testing in Asia, 2024
The present paper provides an overview of an online module for formative assessment of summary writing skills for second language (L2) introductory academic writing instruction in Japan and presents initial empirical results on how Japanese undergraduate students' summary writing performance changed with a series of automated summary content…
Descriptors: Formative Evaluation, Writing Evaluation, Language Usage, Task Analysis
George Clinton Denison – ProQuest LLC, 2024
Enabling learners to successfully use their second language (L2) in meaningful ways is a critical goal of instruction. Ultimately, most learners want to meet the L2 demands of the contexts in which they will use the language. To accomplish this, learners must develop linguistic knowledge and apply it in a manner that is contextually appropriate…
Descriptors: Writing Evaluation, English (Second Language), Second Language Learning, Second Language Instruction
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Elif Sari; Turgay Han – Journal of Computer Assisted Learning, 2024
Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, English (Second Language)
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Yi-Chun Christine Yang – Taiwan Journal of TESOL, 2024
This study examines the relationship between EFL students' noticing and three written feedback strategies. The convenience sampling method was adopted and four intact classes were randomly assigned into four groups: the model, the error correction, the reformulation, and the control groups. After the completion of picture-cued writing tasks as…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Error Correction
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Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
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Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
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Yang, Rui – Asian-Pacific Journal of Second and Foreign Language Education, 2022
English argumentative writing is difficult in second language writing for ESL students. Although there has been a lot of research on English argumentative writings, empirical research focusing on claims in argumentative writing is very scarce. Based on the Toulmin model, this paper studied the relationship between the claims and English…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Persuasive Discourse
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Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Conner, Carlin; Henry, Alyssa R.; Solari, Emily J.; Zajic, Matthew C. – Autism & Developmental Language Impairments, 2022
Background and aims: Due to the COVID-19 pandemic, tele-health has gained popularity for both providing services and delivering assessments to children with disabilities. In this manuscript, we discuss the process of collecting standardized oral language, reading, and writing tele-assessment data with early elementary children with autism spectrum…
Descriptors: Oral Language, Written Language, Writing Skills, Writing Evaluation
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Zhu, Qiyun; To, Jessica – Assessment & Evaluation in Higher Education, 2022
Understanding the proactive roles of receivers in peer feedback processes is crucial because proactive recipience carries great potential in enhancing the effectiveness of feedback and supporting self-regulated (SRL) and co-regulated learning (CoRL). However, receiver's proactivity has been insufficiently explored and the field lacks a clear…
Descriptors: Peer Evaluation, Metacognition, Feedback (Response), Dialogs (Language)
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Margarida Veiga-Simão, Ana; Oliveira, Sofia; Silva-Moreira, Janete; Itália Temudo, Maria – SAGE Open, 2022
Writing has a leading role in learning and, although elementary-school curricula emphasize the development of this complex skill, many students still struggle with their writing performance. This study aimed to assess the efficacy and social validity of CriaTivo, a curriculum-based intervention developed following a Response to Intervention model…
Descriptors: Writing Instruction, Elementary School Students, Instructional Effectiveness, Intervention
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Mohsen, Mohammed Ali – Journal of Educational Computing Research, 2022
Written corrective feedback for improving L2 writing skills has been a debatable issue for more than two decades. The aims of this meta-analysis are to (1) provide a quantitative measure of the effect of computer-generated written feedback for improving L2 writing skills and (2) verify how moderators (i.e., adopted technology, task types, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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