NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Dan Zhao – Education and Information Technologies, 2025
Artificial intelligence is revolutionizing the education landscape and has been widely applied to language teaching and learning. This study investigates the transformative potential of AI-driven Natural Language Processing (NLP) tools in enhancing writing proficiency, focusing on language precision, content summarization, and creative writing…
Descriptors: Artificial Intelligence, Writing Skills, English (Second Language), Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Kai Guo; Deliang Wang – Education and Information Technologies, 2024
ChatGPT, the newest pre-trained large language model, has recently attracted unprecedented worldwide attention. Its exceptional performance in understanding human language and completing a variety of tasks in a conversational way has led to heated discussions about its implications for and use in education. This exploratory study represents one of…
Descriptors: Feedback (Response), English (Second Language), Artificial Intelligence, Natural Language Processing
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yiyun Fan; Sheng Tan; Grace Yuk Wan Lim – Australian Journal of Applied Linguistics, 2024
Academic writing is a substantial component of tertiary education, yet it poses challenges for second/foreign language students, particularly first-year undergraduates with limited pre-university exposure to English-medium instruction (EMI) settings. In this context, English for academic purposes (EAP) teachers play a crucial role in supporting…
Descriptors: English for Academic Purposes, Language Teachers, Feedback (Response), Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Uzun, Kutay; Ulum, Ömer Gökhan – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2022
This study aimed to utilize sentiment and sentence similarity analyses, two Natural Language Processing techniques, to see if and how well they could predict L2 Writing Performance in integrated and independent task conditions. The data sources were an integrated L2 writing corpus of 185 literary analysis essays and an independent L2 writing…
Descriptors: Natural Language Processing, Second Language Learning, Second Language Instruction, Writing (Composition)
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Miranty, Delsa; Widiati, Utami – Pegem Journal of Education and Instruction, 2021
Automated Writing Evaluation (AWE) has been considered a potential pedagogical technique that exploits technology to assist the students' writing. However, little attention has been devoted to examining students' perceptions of Grammarly use in higher education context. This paper aims to obtain information regarding the writing process and the…
Descriptors: Foreign Countries, Technology Uses in Education, Writing (Composition), Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Harbusch, Karin; Itsova, Gergana; Koch, Ulrich; Kuhner, Christine – CALICO Journal, 2009
We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary…
Descriptors: Feedback (Response), Sentences, Grammar, Writing Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Chang, Yu-Chia; Chang, Jason S.; Chen, Hao-Jan; Liou, Hsien-Chin – Computer Assisted Language Learning, 2008
Previous work in the literature reveals that EFL learners were deficient in collocations that are a hallmark of near native fluency in learner's writing. Among different types of collocations, the verb-noun (V-N) one was found to be particularly difficult to master, and learners' first language was also found to heavily influence their collocation…
Descriptors: Sentence Structure, Verbs, Nouns, Foreign Countries
Peer reviewed Peer reviewed
Pasero, Robert; Sabatier, Paul – Computer Assisted Language Learning, 1998
Describes principles underlying ILLICO, a generic natural-language software tool for building larger applications for performing specific linguistic tasks such as analysis, synthesis, and guided composition. Shows to what extent this approach is relevant to the development of computer-assisted language-learning systems. (Author/VWL)
Descriptors: Computer Assisted Instruction, Computer Software, Natural Language Processing, Second Language Instruction