Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 8 |
Descriptor
Source
Journal of Educational… | 8 |
Author
Chen, Wenzhi | 1 |
Cheng, Yan | 1 |
Cho, Kwangsu | 1 |
Danielle S. McNamara | 1 |
Kathryn S. McCarthy | 1 |
Laura K. Allen | 1 |
Lenhard, Wolfgang | 1 |
Li, Xu | 1 |
Liu, Jianwen | 1 |
Ma, Xiaomei | 1 |
Mohsen, Mohammed Ali | 1 |
More ▼ |
Publication Type
Journal Articles | 8 |
Reports - Research | 7 |
Information Analyses | 2 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Secondary Education | 3 |
Elementary Education | 1 |
Grade 6 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Gates MacGinitie Reading Tests | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Reese Butterfuss; Rod D. Roscoe; Laura K. Allen; Kathryn S. McCarthy; Danielle S. McNamara – Journal of Educational Computing Research, 2022
The present study examined the extent to which adaptive feedback and just-in-time writing strategy instruction improved the quality of high school students' persuasive essays in the context of the Writing Pal (W-Pal). W-Pal is a technology-based writing tool that integrates automated writing evaluation into an intelligent tutoring system. Students…
Descriptors: High School Students, Writing Evaluation, Writing Instruction, Feedback (Response)
Li, Xu; Ouyang, Fan; Liu, Jianwen; Wei, Chengkun; Chen, Wenzhi – Journal of Educational Computing Research, 2023
The computer-supported writing assessment (CSWA) has been widely used to reduce instructor workload and provide real-time feedback. Interpretability of CSWA draws extensive attention because it can benefit the validity, transparency, and knowledge-aware feedback of academic writing assessments. This study proposes a novel assessment tool,…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Natural Language Processing
Qian, Leyi; Zhao, Yali; Cheng, Yan – Journal of Educational Computing Research, 2020
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners' writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our…
Descriptors: Foreign Countries, Automation, Scoring, Writing (Composition)
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
Zhai, Na; Ma, Xiaomei – Journal of Educational Computing Research, 2023
Automated writing evaluation (AWE) has been frequently used to provide feedback on student writing. Many empirical studies have examined the effectiveness of AWE on writing quality, but the results were inconclusive. Thus, the magnitude of AWE's overall effect and factors influencing its effectiveness across studies remained unclear. This study…
Descriptors: Writing Evaluation, Feedback (Response), Meta Analysis, English (Second Language)
Wilson, Joshua; Roscoe, Rod D. – Journal of Educational Computing Research, 2020
The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used "Project Essay Grade Writing" (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics:…
Descriptors: Automation, Writing Evaluation, Feedback (Response), Instructional Effectiveness
Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
Park, Juhwa; Cho, Kwangsu – Journal of Educational Computing Research, 2017
Previous research has shown the effectiveness of peer reviewing on the improvement of writing quality. However, the fact that students themselves, arguably novices, judged the improvement leads to concerns about the validity of peer reviewing. We measured writing quality before and after peer reviewing using Coh-Metrix, which computationally…
Descriptors: Peer Evaluation, Computational Linguistics, Connected Discourse, Writing Improvement