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Johansson-Malmeling, Charlotte; Antonsson, Malin; Wengelin, Åsa; Henriksson, Ingrid – International Journal of Language & Communication Disorders, 2022
Background: Intervention studies aimed to improve the written production of single words by persons with aphasia have yielded promising results and there is growing interest in interventions targeting text writing. The development of technical writing aids offers opportunities for persons with aphasia, and studies have shown that using them can…
Descriptors: Intervention, Aphasia, Writing Skills, Males
Purnamika Utami, I. G. A. Lokita; Mahardika, I. Gusti Ngurah Agung Wijaya – International Journal of Language Education, 2023
Grammar has long been a source of aggravation for anyone learning a second language, not just English language learners, but also non-native English teachers. People can now employ Grammarly to correct their grammar mistakes, owing to the sophistication of modern technology. The debate over whether teachers use Grammarly as part of their…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
Ralf Giessler – Language Awareness, 2024
This paper reports on a pilot study with advanced EFL learners in Germany who were asked to use ProWritingAid (PWA) for a composition task in a German comprehensive school. PWA is an Automated Writing Evaluation (AWE) tool that provides writers with feedback on grammar, spelling mistakes, and writing style during the writing and editing process.…
Descriptors: Writing Evaluation, Writing Instruction, Foreign Countries, English (Second Language)
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
Yeh, Shu Fen – Advances in Language and Literary Studies, 2021
In the past two decades, the growing rage of computer mediated environments (CMC) affords new literacies and new opportunities for language learners to experience, construct, communicate, and access knowledge (Ware, Kern & Warschauer, 2016). Also, it suggests that writing in multimodal in the digital ear contributes to its production and…
Descriptors: Collaborative Writing, Computer Software, Computer Mediated Communication, Second Language Learning
Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
John, Paul; Woll, Nina – Research-publishing.net, 2018
Our study assessed the performance of two Grammar Checkers (GCs), Grammarly and Virtual Writing Tutor, and the grammar checking function in Microsoft Word on a broad range of grammatical errors. The errors occurred in both authentic English as a Second Language (ESL) compositions and simple sentences we generated ourselves. We verified the…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, English (Second Language)
Chacón-Beltrán, Rubén – ELT Journal, 2017
It is now relatively straightforward to program software to detect words and phrases containing errors in the free-form writing of L2 learners of English. This article, however, reports on progress in the development of software which not only detects errors but also provides feedback explaining the nature of each error and how to correct it. Such…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Feedback (Response)
Harvey-Scholes, Calum – Computer Assisted Language Learning, 2018
Software can facilitate English as a Foreign Language (EFL) students' self-correction of their free-form writing by detecting errors; this article examines the proportion of errors which software can detect. A corpus of 13,644 words of written English was created, comprising 90 compositions written by Spanish-speaking students at levels A2-B2…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Correction
Valijärvi, Riitta-Liisa; Tarsoly, Eszter – Practitioner Research in Higher Education, 2019
We propose ways of incorporating Google Translate into the teaching of Finnish and Hungarian in a higher education setting at different skill levels. The task types tested in our study were: analytical tasks (dictionary-like exercise, word-building, part-of-word identification), discovery method tasks (elicitation, problem solving), and awareness…
Descriptors: Translation, Computer Software, Finno Ugric Languages, Hungarian
Lawley, Jim – Language Learning & Technology, 2015
This paper describes the development of web-based software at a university in Spain to help students of EFL self-correct their free-form writing. The software makes use of an eighty-million-word corpus of English known to be correct as a normative corpus for error correction purposes. It was discovered that bigrams (two-word combinations of words)…
Descriptors: Computer Software, Second Language Learning, English (Second Language), Error Correction
Dagenais, Diane; Toohey, Kelleen; Bennett Fox, Alexa; Singh, Angelpreet – Language and Education, 2017
In this article, we explain how recent research on multilingualism, multilingual education, and multimodality informs our thinking about the use of "ScribJab," a multilingual iPad application and website ("ScribJab.com"), which enables users to compose, illustrate, and narrate stories in two languages. Drawing on excerpts from…
Descriptors: Multilingualism, Handheld Devices, Web Sites, Writing (Composition)
Shintani, Natsuko; Aubrey, Scott – Modern Language Journal, 2016
This study extends research on written corrective feedback (CF) by investigating how timing of CF affects grammar acquisition. Specifically, it examined the relative effects of synchronous and asynchronous CF on the accurate use of the hypothetical conditional structure. Participants were 68 intermediate-level students of English at a university…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
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