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Mai Abdullah Alqaed – Advanced Education, 2024
Artificial intelligence (AI) is gaining wide attention in second language learning as a beneficial tool. The current research investigates EFL learners' perceptions and usage of AI applications among 68 undergraduate English language major students. The aim is to enhance students' awareness of valuable AI applications and involve them with AI…
Descriptors: Artificial Intelligence, Student Attitudes, English (Second Language), Second Language Instruction
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Nato Pachuashvili – IAFOR Journal of Education, 2024
Giving feedback has always been the backbone of the English as a Foreign Language (EFL) writing class. Written corrective feedback focuses on responding to students' written work by extensively correcting their errors or offering constructive suggestions for improvements. The process of digitalization of education offered an alternative to…
Descriptors: Feedback (Response), English (Second Language), Second Language Instruction, Writing Instruction
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Gao, Jianwu; Ma, Shuang – Language Teaching Research, 2022
This study investigated the intensity and efficacy of automated corrective feedback (CF) in a tutorial CALL (computer-assisted language learning) environment during form-focused drills as compared with those of instructor CF on free writing in the classroom. The English simple past tense, a previously learned target structure, was selected as the…
Descriptors: Feedback (Response), Writing (Composition), Computer Assisted Instruction, Second Language Learning
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Rustam Shadiev; Yingying Feng – Interactive Learning Environments, 2024
Previous review studies do not have a broad and comprehensive perspective on the usage of ACF tools in language learning. To address this gap, we reviewed 82 articles on the use of ACF tools published in the last five years. Results indicate that 43 ACF tools were used in studies to assist writing, grammar, spelling, and collocation and word use.…
Descriptors: Automation, Feedback (Response), Educational Technology, Technology Uses in Education
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Hsiu-Chen Hsu – Computer Assisted Language Learning, 2024
Previous studies on web-based collaborative writing have shown that task modality impacts peer interaction patterns and attention to form. However, these studies have primarily focused on contrasting a face-to-face oral condition with a text-based synchronous computer-mediated communication (SCMC) environment. Few studies have compared peer…
Descriptors: Peer Relationship, Attention, Electronic Learning, Asynchronous Communication
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Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
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Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
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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
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Yen, Emily Lau Yen; Mohamad, Maslawati – Journal of Education and e-Learning Research, 2021
Spelling mastery is an important prerequisite of proficiency in the English language. The conventional language teaching strategy needs to be revolutionized for the 21st century by utilizing Information and Communication Technology (ICT) to enable English as a Second Language (ESL) students to master spelling. As such, online teaching and learning…
Descriptors: Spelling Instruction, Instructional Effectiveness, English (Second Language), Second Language Learning
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Lin, Po-Han; Liu, Tzu-Chien; Paas, Fred – Reading and Writing: An Interdisciplinary Journal, 2017
Computer-based spell checkers help to correct misspells instantly. Almost all the word processing devices are now equipped with a spell-check function that either automatically corrects errors or provides a list of intended words. However, it is not clear on how the reliance on this convenient technological solution affects spelling learning.…
Descriptors: Educational Technology, Technology Uses in Education, Spelling, Word Processing
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Lawley, Jim – Computer Assisted Language Learning, 2016
Research has shown that any assumption that L2 learners of English do well to rely on the feedback provided by generic spell checkers (for example, the MS Word spell checker) is misplaced. Efforts to develop spell checkers specifically for L2 learners have focused on training software to offer more appropriate suggestion lists for replacing…
Descriptors: English (Second Language), Second Language Learning, Feedback (Response), Spelling
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Musk, Nigel – Classroom Discourse, 2016
The present study uses multimodal conversation analysis to examine how pupils studying English as a foreign language make spelling corrections in real time while doing collaborative computer-assisted project work. Unlike most previous related investigations, this study focuses on the "process" rather than evaluating the final…
Descriptors: Collaborative Writing, Computer Assisted Instruction, Second Language Learning, Spelling
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Liao, Hui-Chuan – ELT Journal, 2016
Despite the recent development of automated writing evaluation (AWE) technology and the growing interest in applying this technology to language classrooms, few studies have looked at the effects of using AWE on reducing grammatical errors in L2 writing. This study identified the primary English grammatical error types made by 66 Taiwanese…
Descriptors: Error Patterns, Revision (Written Composition), Process Approach (Writing), Grammar
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Saeedi, Zari; Meihami, Hussein – Teaching English with Technology, 2015
This paper aims at accentuating and exploring the effect of using electronic portfolio (EP) platform in providing corrective feedback (CF) on EFL students' overall and micro-componential writing performance. Moreover, by conducting a semi-structured interview, the study seeks to obtain students' attitudes towards the use of EP in three aspects,…
Descriptors: English (Second Language), Second Language Learning, Error Correction, Second Language Instruction
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Dodigovic, Marina – International Journal of Artificial Intelligence in Education, 2013
This article focuses on the use of natural language processing (NLP) to facilitate second language learning within the context of academic English. It describes a full cycle of educational software development, from needs analysis to software testing. Two studies are included: 1) the needs analysis conducted to develop the Intelligent Sentence…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Second Language Learning, English (Second Language)
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