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Afrooz Dorri; Hossein Heidari Tabrizi; Ahmadreza Lotfi – International Journal of Language Testing, 2025
The impact of self- and peer-assessment strategies (assessment as learning) on the development of writing skill of EFL learners is a research area requiring more research studies. The present study aimed to investigate the impact of language assessment literacy enhancement (LALE) on Iranian high school English as Foreign Language (EFL) students'…
Descriptors: High School Students, English (Second Language), Second Language Learning, Second Language Instruction
Makiko Kato – Journal of Education and Learning, 2025
This study aims to examine whether differences exist in the factors influencing the difficulty of scoring English summaries and determining scores based on the raters' attributes, and to collect candid opinions, considerations, and tentative suggestions for future improvements to the analytic rubric of summary writing for English learners. In this…
Descriptors: Writing Evaluation, Scoring, Writing Skills, English (Second Language)
Autumn B. Hostetter; Natalie Call; Grace Frazier; Tristan James; Cassandra Linnertz; Elizabeth Nestle; Miaflora Tucci – Teaching of Psychology, 2025
Background: Psychology instructors frequently assign writing-to-learn exercises that include personal reflection. Generative Artificial Intelligence (GenAI) can write text that passes for humans in other domains. Objective: Do students and faculty rate a reflection written by GenAI differently than reflections written by students? Do students and…
Descriptors: Student Attitudes, Teacher Attitudes, College Faculty, Undergraduate Students
Daniel Holcombe – Hispania, 2025
Accompanying the recent rise in cautious popularity surrounding Generative Artificial Intelligence (Gen-AI), some language educators are exploring innovative linguistic interactions with Gen-AI. Seeking to add a literature approximation to such criticism, this article explores two activities that feature Gen-AI in undergraduate literature courses.…
Descriptors: Undergraduate Students, Artificial Intelligence, Computer Software, Cheating
Napat Jitpaisarnwattan; Nick Saville – Technology in Language Teaching & Learning, 2025
This study investigates the role of Write & Improve, an Automated Writing Evaluation (AWE) tool, in fostering autonomous learning among EFL students. Additionally, it examines students' perceptions of AWE as a tool for enhancing writing proficiency. Adopting a mixed-methods approach, data were collected from 53 students enrolled in an English…
Descriptors: Automation, Writing Evaluation, English (Second Language), Second Language Instruction
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
Brittany Grey; Marren C. Brooks; Emily A. Lund; Krystal L. Werfel – Language, Speech, and Hearing Services in Schools, 2025
Purpose: This study examined the internal consistency reliability, interrater reliability, and concurrent validity of the norm-referenced Test of Early Written Language--Third Edition (TEWL-3) to determine if it is an appropriate measure to use when determining if elementary children who are deaf and hard of hearing (DHH) meet grade-level writing…
Descriptors: Hard of Hearing, Sensory Aids, Writing Improvement, Writing Instruction
Li, Rui – British Journal of Educational Technology, 2023
Despite the popularity of automated writing evaluation (AWE) that has provoked an increased scholarly interest, synthesized research to comprehensively understand its pedagogical effects is still in paucity. To fill the gap, this study aims to meta-analyse the overall effect of AWE on learners' writing skill development and whether the effect…
Descriptors: Writing Evaluation, Writing Tests, Automation, Writing Skills
Guilfoyle, Liam; Hillier, Judith; Fancourt, Nigel – Research in Science & Technological Education, 2023
Background: Argumentation, that is the coordination of evidence and reasons to support claims, is an important skill for democratic society, developing subject-specific literacies, and can be embedded in multiple school subjects. While argumentation has been extensively researched in science education, interdisciplinary argumentation is less…
Descriptors: Persuasive Discourse, Science Education, Religious Education, Interdisciplinary Approach
Almusharraf, Norah; Alotaibi, Hind – Technology, Knowledge and Learning, 2023
Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…
Descriptors: Writing Evaluation, Writing Tests, Essay Tests, Essays
Alexander, Katarzyna; Savvidou, Christine; Alexander, Chris – Teaching English with Technology, 2023
Recent developments in AI technologies and the increasing accessibility of AI tools, such as ChatGPT, have raised concerns about academic integrity in higher education. Thus, this research aims to shed light on the challenges faced by English as a Second Language (ESL) lecturers in identifying AI-generated texts, and highlighting the skills and…
Descriptors: Identification, Artificial Intelligence, Writing Assignments, Second Language Learning
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
Solaire A. Finkenstaedt-Quinn; Jennifer A. Schmidt-McCormack; Field M. Watts; Anne Ruggles Gere; Ginger V. Shultz – Across the Disciplines, 2023
Undergraduate writing fellows play an important role in administering writing assignments in writing-intensive courses. At the University of Michigan, the MWrite program was designed to support the implementation of writing-to-learn (WTL) assignments in STEM courses. Within MWrite, writing fellows are a primary instructional resource for students…
Descriptors: Fellowships, Undergraduate Study, Writing Instruction, Writing Assignments
Amanda Buckley – ProQuest LLC, 2023
This study aimed to apply the novel use of a conceptual interview and flowchart to support teachers in easily identifying areas of development in writing using the developmental/cognitive model of writing (Flower & Hayes, 1980). This study involved two phases. The first phase involved the creation of a conceptual interview and flowchart based…
Descriptors: Writing (Composition), Goal Orientation, Models, Flow Charts
Tahani I. Aldosemani; Hussein Assalahi; Areej Lhothali; Maram Albsisi – International Journal of Computer-Assisted Language Learning and Teaching, 2023
This paper explores the literature on AWE feedback, particularly its perceived impact on enhancing EFL student writing proficiency. Prior research highlighted the contribution of AWE in fostering learner autonomy and alleviating teacher workloads, with a substantial focus on student engagement with AWE feedback. This review strives to illuminate…
Descriptors: Automation, Student Evaluation, Writing Evaluation, English (Second Language)

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