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Jinhee Kim; Seongryeong Yu; Rita Detrick; Na Li – Education and Information Technologies, 2025
The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Qiuyun Lu; Alice Deignan – SAGE Open, 2024
Metaphors are known to present both opportunities and challenges for second language learners, but relatively little is known about learners' awareness of them. To investigate this, we analyzed 72 argumentative essays written in English by a group of 37 intermediate Chinese university students of English. We identified metaphors using an…
Descriptors: Language Usage, Figurative Language, English (Second Language), Second Language Learning
Davies, Patricia Marybelle; Passonneau, Rebecca Jane; Muresan, Smaranda; Gao, Yanjun – IEEE Transactions on Education, 2022
Contribution: Demonstrates how to use experiential learning (EL) to improve argumentative writing. Presents the design and development of a natural language processing (NLP) application for aiding instructors in providing feedback on student essays. Discusses how EL combined with automated support provides an analytical approach to improving…
Descriptors: Experiential Learning, Writing Instruction, Persuasive Discourse, Writing (Composition)
Xiaoling Bai; Nur Rasyidah Mohd Nordin – Eurasian Journal of Applied Linguistics, 2025
A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…
Descriptors: Artificial Intelligence, Feedback (Response), Evaluators, Writing Skills
McCarthy, Philip M.; Kaddoura, Noor W.; Al-Harthy, Ayah; Thomas, Anuja M.; Duran, Nicholas D.; Ahmed, Khawlah – Pegem Journal of Education and Instruction, 2022
This study analyzes the linguistic features of counter-arguments and support arguments using two computational linguistic tools: Coh-Metrix and Gramulator. The research question investigates whether counter-argument paragraphs and support paragraphs are different in terms of their linguistic features. To conduct this study, a corpus of 78…
Descriptors: Computational Linguistics, Connected Discourse, Discourse Analysis, Readability
Al-Khazaali, Husam Mohammed Kareem – Advances in Language and Literary Studies, 2019
The aim of the present study is to examine experimentally the influence of using lexical chunks on the achievement of second-year-university students of English in the writing fluency. Lexical chunks, as the composites of form, meaning and function, stored and retrieved as a whole in brain, can release the language processing burden and improve…
Descriptors: Phrase Structure, English (Second Language), Second Language Learning, Essays
Schenck, Andrew; Baldwin, Matthew – Online Submission, 2019
When viewed through a generic, one-size-fits-all perspective, use of input enhancement does not appear effective. Through analysis of individual grammatical features and different learner proficiency levels, a significant impact may be revealed. To study the impact of input enhancement on diverse grammatical features, 16 short reading texts and…
Descriptors: Grammar, Linguistic Input, Language Proficiency, Teaching Methods
Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2017
In this chapter, we describe several intelligent tutoring systems (ITSs) designed to support student literacy through reading comprehension and writing instruction and practice. Although adaptive instruction can be a powerful tool in the literacy domain, developing these technologies poses significant challenges. For example, evaluating the…
Descriptors: Intelligent Tutoring Systems, Literacy Education, Educational Technology, Technology Uses in Education
Lai, Shu-Li – Research-publishing.net, 2015
A number of studies have suggested the potentials of corpus tools in vocabulary learning. However, there are still some concerns. Corpus tools might be too complicated to use; example sentences retrieved from corpus tools might be too difficult to understand; processing large number of sample sentences could be challenging and time-consuming;…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Student Attitudes
Tran, Huong Quynh – English Language Teaching, 2012
This study investigated the situation of teaching and learning idioms at a university level in Vietnam, a foreign language context. It also examined the evaluation of the idiom teaching process in three language classes over a 15-week period for pre-service teachers of English. The data were collected though questionnaires, in-depth interviews and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Figurative Language
Liu, Ming; Calvo, R. A.; Aditomo, A.; Pizzato, L. A. – IEEE Transactions on Learning Technologies, 2012
In this paper, we present a novel approach for semiautomatic question generation to support academic writing. Our system first extracts key phrases from students' literature review papers. Each key phrase is matched with a Wikipedia article and classified into one of five abstract concept categories: Research Field, Technology, System, Term, and…
Descriptors: Foreign Countries, Computer Assisted Instruction, Web 2.0 Technologies, Automation
Santelmann, Patricia Kelly – Improving College and University Teaching, 1981
Writing demands the simultaneous control of several skills: focus and logic, as well as spelling and grammar. The central writing skill is to look at what has been said and see how it can be improved by drafting and redrafting. (MLW)
Descriptors: College English, College Students, Communication (Thought Transfer), Grammar