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Wen Liu – Language Teaching Research Quarterly, 2024
Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…
Descriptors: Writing Instruction, Learner Engagement, Feedback (Response), Teaching Methods
Yu, Eunjyu – Journal of Educators Online, 2023
Artificial intelligence (AI) is increasingly being used as a cost-effective assistant to human instructors to generate performance feedback for online learners. This study found that AI-generated feedback had a positive impact on students' writing practice in an online learning space. Underperforming students stated that they wanted AI to further…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cognitive Style
Nailatul Amani; Maslihatul Bisriyah – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing…
Descriptors: Metacognition, Writing Instruction, Grammar, Artificial Intelligence
Rajati Mariappan; Kim Hua Tan; Bromeley Philip – Journal of Education and Learning (EduLearn), 2025
Incorporating technology with linguistics has created opportunities to explore the effectiveness of grammar checkers in cultivating an autonomous learning culture among English as a second language (ESL) and English as a foreign language (EFL) learner. Even though there have been numerous studies on grammar checkers to cultivate autonomous…
Descriptors: Computational Linguistics, Computer Software, Grammar, Private Schools
Huiyu Zhang; Linda Fang – Educational Media International, 2023
In Temasek Polytechnic, Singapore, several AI chatbots acting as digital teaching assistants were trialed between July 2021 and August 2022. As these were developed for different purposes, it is important to learn if these AI chatbots help achieve the desired learning outcomes. This paper focuses on lessons learnt from three chatbots designed for…
Descriptors: Foreign Countries, Artificial Intelligence, Asynchronous Communication, Teaching Assistants
Giang Thi Linh Hoang; Neomy Storch – Iranian Journal of Language Teaching Research, 2024
Research has suggested that the type of feedback learners receive can impact on whether learners understand the feedback, the extent to which they engage with it, and whether they incorporate it in their revised drafts. However, to date, only a small number of studies have investigated learner engagement with corrective feedback provided by…
Descriptors: Case Studies, Language Processing, English (Second Language), Second Language Learning
Murphy, Bridget; Mackay, Jessica; Tragant, Elsa – Language Learning Journal, 2023
Given the prominence of online teaching over the last few years, mobile instant messaging (MIM) has grown in importance for students studying English outside of class. Applications like WhatsApp have the potential to provide language learners the opportunity to practise communicative strategies while receiving feedback from a teacher. To explore…
Descriptors: Second Language Learning, Second Language Instruction, Error Correction, Feedback (Response)
Öner Bulut, Senem; Alimen, Nilüfer – Interpreter and Translator Trainer, 2023
Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…
Descriptors: Translation, Teaching Methods, Self Efficacy, Second Languages
Mohammadi, Mojtaba; Zarrabi, Maryam; Kamali, Jaber – International Journal of Language Testing, 2023
With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human corrective feedback and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This study aims to…
Descriptors: Formative Evaluation, Writing Evaluation, Feedback (Response), Computer Assisted Testing
Waer, Hanan – Innovation in Language Learning and Teaching, 2023
Recent years have witnessed an increased interest in automated writing evaluation (hereafter AWE). However, few studies have examined the use of AWE with apprehensive writers. Hence, this study extends research in this area, investigating the effect of using AWE on reducing writing apprehension and enhancing grammatical knowledge. The participants…
Descriptors: Writing Evaluation, Writing Apprehension, English (Second Language), Second Language Learning
Eghterafi, Wadi; Tucker, Mary C.; Zhang, Icy; Son, Ji Yun – Online Learning, 2022
In this study, we examined the effect of video-based feedback designed to highlight a peer engaging in effective thinking processes on self-efficacy beliefs and learning outcomes (performance on a delayed quiz). Students in an introductory statistics course participated in an online learning activity where they received feedback in one of three…
Descriptors: Feedback (Response), Mastery Learning, Self Efficacy, Teaching Methods
Selami Aydin; Maryam Zeinolabedini – Online Submission, 2024
In line with the rapid advancement in educational technology, and the application of artificial intelligence (AI) in particular, the teaching and learning of the English language has undergone a significant transformation. This paper aims to explore students' perceptions of integrating AI into the English as a foreign language (EFL) learning…
Descriptors: Artificial Intelligence, Computer Software, Second Language Instruction, Second Language Learning
Lee, V. C. S.; Yu, Y. T.; Tang, C. M.; Wong, T. L.; Poon, C. K. – Journal of Computer Assisted Learning, 2018
Many students need assistance in debugging to achieve progress when they learn to write computer programs. Face-to-face interactions with individual students to give feedback on their programs, although definitely effective in facilitating their learning, are becoming difficult to achieve with ever-growing class sizes. This paper proposes a novel…
Descriptors: Computer Science Education, Programming, Computer Software, Feedback (Response)
Kitjaroonchai, Nakhon; Suppasetseree, Suksan – English Language Teaching, 2021
The study investigated the interaction patterns of six ASEAN EFL university students when they worked in small groups on two collaborative writing tasks: a descriptive essay and an argumentative essay. Both groups were homogeneous in terms of gender and heterogeneous in terms of home countries. Data collection included pre- and posttest writing,…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
Xu, Yi – Interpreter and Translator Trainer, 2023
The research on interpreting aptitude has focused on the abilities, skills and personal traits of individuals in order to predict their future interpreting performance. However, an important variable between the personal characteristics and success of trainee interpreters in interpreter training, which is instructional practices, is overlooked.…
Descriptors: Prediction, Language Aptitude, Feedback (Response), Short Term Memory