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Khaled ElEbyary; Ramy Shabara; Deena Boraie – Language Testing in Asia, 2024
Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, English (Second Language)
Al-Inbari, Fatima Abdullah Yahya; Al-Wasy, Baleigh Qassim Mohammed – Education and Information Technologies, 2023
Automated Writing Evaluation (AWE) is one of the machine techniques used for assessing learners' writing. Recently, this technique has been widely implemented for improving learners' editing strategies. Several studies have been conducted to compare self-editing with peer editing. However, only a few studies have compared automated peer and…
Descriptors: English Language Learners, Automation, Writing Evaluation, Peer Evaluation
Cengiz Zopluoglu; Gerald Tindal – Behavioral Research and Teaching, 2023
WriteRightNow (https://writerightnow.com) is an innovative digital platform meticulously crafted to enhance writing instruction across various curricula. Central to its design is the customization of instructional content, allowing for a multi-faceted approach that caters to diverse student needs, including those with special educational…
Descriptors: Automation, Grading, Educational Technology, Technology Uses in Education
Chen, Huimei; Pan, Jie – Asian-Pacific Journal of Second and Foreign Language Education, 2022
The role of internet technology in higher education and particularly in teaching English as a Foreign language is increasingly prominent because of the interest in the ways in which technology can be applied to support students. The automated evaluation scoring system is a typical demonstration of the application of network technology in the…
Descriptors: Comparative Analysis, Automation, Scoring, Feedback (Response)
Kathryn S. McCarthy; Rod D. Roscoe; Laura K. Allen; Aaron D. Likens; Danielle S. McNamara – Grantee Submission, 2022
The benefits of writing strategy feedback are well established. This study examined the extent to which adding spelling and grammar checkers support writing and revision in comparison to providing writing strategy feedback alone. High school students (n = 119) wrote and revised six persuasive essays in Writing Pal, an automated writing evaluation…
Descriptors: High School Students, Automation, Writing Evaluation, Computer Software
Tsai, Min-Hsiu – World Journal of Education, 2017
Who is the most preferred and deemed the most helpful reviewer in improving student writing? This study exercised a blended teaching method which consists of three currently prevailing reviewers: the automated grading system (AGS, a web-based method), the peer review (a process-oriented approach), and the teacher grading technique (the…
Descriptors: Second Language Learning, Writing Evaluation, Automation, Grading
Weigle, Sara Cushing – ETS Research Report Series, 2011
Automated scoring has the potential to dramatically reduce the time and costs associated with the assessment of complex skills such as writing, but its use must be validated against a variety of criteria for it to be accepted by test users and stakeholders. This study addresses two validity-related issues regarding the use of e-rater® with the…
Descriptors: Scoring, English (Second Language), Second Language Instruction, Automation