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Student Perceptions of Hybrid Feedback: Using Gen-AI to Enhance Engagement with EAP Writing Feedback
Jie Zhang; Jiashi Wang – JALT CALL Journal, 2025
Feedback is crucial in the learning process, yet many students struggle to engage with teacher feedback effectively. This study explores the potential of Generative Artificial Intelligence (gen-AI) to enhance student engagement with feedback in English for Academic Purposes (EAP) writing. Using a mixed-methods approach involving surveys and…
Descriptors: Student Attitudes, Undergraduate Students, Feedback (Response), Artificial Intelligence
Mohamed Mekheimer – Discover Education, 2025
This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Seval Kemal; Aysegül Liman-Kaban – Asian Journal of Distance Education, 2025
This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…
Descriptors: Artificial Intelligence, Secondary School Students, Feedback (Response), Writing Assignments
Pacheco, Oscar; Huertas, Adriana – Knowledge Management & E-Learning, 2022
The purpose of this research was to analyze the effects of a writing strategy for text production among primary school students with different cognitive styles (CS) in the field dependence-independence (FDI) dimension. The writing strategy is based on collaborative work, autonomous work, and work integrating technology, which is referred to as…
Descriptors: Writing Strategies, Writing Instruction, Elementary School Students, Cognitive Style
Jiahui Wu; Jianwei Li; Zigang Ge; Mingrui Xu; Li Lin; Ru Zhang – Journal of Educational Computing Research, 2025
Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…
Descriptors: Error Correction, Feedback (Response), Artificial Intelligence, Computer Software
Peer reviewedAmy Adair – Grantee Submission, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Scaffolding (Teaching Technique)
Awada, Ghada – Cogent Education, 2016
This article reports the results of an experimental study on the effectiveness of mobile technology (WhatsApp) in improving the critique writing skills of English as a Foreign Language learners and increasing their motivation for learning. The participants (n = 52) are Average-English proficient learners enrolled in two writing courses given at…
Descriptors: Computer Oriented Programs, Handheld Devices, Writing Evaluation, Writing Improvement
Johnson, Martin; Nadas, Rita – Learning, Media and Technology, 2009
Within large scale educational assessment agencies in the UK, there has been a shift towards assessors marking digitally scanned copies rather than the original paper scripts that were traditionally used. This project uses extended essay examination scripts to consider whether the mode in which an essay is read potentially influences the…
Descriptors: Reading Comprehension, Educational Assessment, Internet, Essay Tests

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