Publication Date
In 2025 | 1 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 8 |
Since 2016 (last 10 years) | 14 |
Since 2006 (last 20 years) | 19 |
Descriptor
Source
Author
Ajang Budiman | 1 |
Albaqami, Rashidah | 1 |
Andrew Potter | 1 |
Anisa Ulfah | 1 |
Arti Prihatini | 1 |
Baldwin, Matthew | 1 |
Berkowitz, Diana | 1 |
Bonilla López, Marisela | 1 |
Buyse, Kris | 1 |
Carine Graff | 1 |
Chen, Xieling | 1 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 2 |
Practitioners | 1 |
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
International English… | 1 |
Program for International… | 1 |
Test of English as a Foreign… | 1 |
Test of English for… | 1 |
What Works Clearinghouse Rating
Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
Waad Alsaweed; Saad Aljebreen – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…
Descriptors: Error Correction, Writing Instruction, Grammar, Morphemes
Hari Windu Asrini; Arti Prihatini; Ajang Budiman; Anisa Ulfah – Language Teaching Research Quarterly, 2024
Students are required to master effective sentences to support their writing skills. However, students often struggle with comprehending and constructing effective sentences due to their limited proficiency and competence. This research examines the comprehension of effective sentences through grammaticality judgment tests and its implications for…
Descriptors: Grammar, Decision Making, Language Tests, Writing Instruction
Shoshannah Brienz Jenni Lane – ProQuest LLC, 2024
The employment of genre-based pedagogy and Task-Based Language Teaching in second language education is representative of a paradigmatic shift towards a focus on meaning-making. Despite this shift, second language acquisition (SLA) research continues to predominantly rely on complexity, accuracy, and fluency metrics to assess learner production…
Descriptors: Second Language Learning, Second Language Instruction, German, Electronic Mail
Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
Albaqami, Rashidah – Arab World English Journal, 2022
This study examines the effect of enhanced input of lexical chunks on the performance of Arabic-speaking English learners' writings. Lexical chunks, containing their forms, meanings, and functions, stored and recovered as a single component in brains, may alleviate language processing problems and increase language proficiency. The research…
Descriptors: Phrase Structure, English (Second Language), Second Language Learning, Second Language Instruction
Klekovkina, Vera; Denié-Higney, Laurence – L2 Journal, 2022
Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…
Descriptors: Translation, Computational Linguistics, Interdisciplinary Approach, Writing Instruction
Huang, Xinyi; Zou, Di; Cheng, Gary; Chen, Xieling; Xie, Haoran – Educational Technology & Society, 2023
Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and…
Descriptors: Trend Analysis, Educational Trends, Vocabulary Development, Artificial Intelligence
Carine Graff – ProQuest LLC, 2018
This study explores the effect of translation strategies on undergraduate students' second language writing in three French composition classes. After the grammar translation method was used in foreign language teaching, translation in the foreign language classroom was banned for a long time. It is now reappearing in those language classrooms and…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Writing Instruction
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
Bonilla López, Marisela; Steendam, Elke; Speelman, Dirk; Buyse, Kris – Language Learning, 2018
This study investigated the potential of comprehensive corrective feedback forms as editing and learning tools and examined their effect on learners' cognitive and attitudinal engagement. Low-intermediate second language writers (N = 139) were randomly assigned to four experimental conditions (direct corrections of grammatical errors,…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, Error Correction
Riggs, Reed – ProQuest LLC, 2018
Constructionist research on L2 learning has focused on the degrees to which skewed frequency (Goldberg, Casenhiser & White, 2007; Casenhiser & Goldberg, 2005; Goldberg, Casenhiser, & Sethuraman 2004) in a person's linguistic environment can facilitate "entrenchment," "schematization," and "contingency…
Descriptors: Mandarin Chinese, Language Usage, Native Speakers, Second Language Learning
Suzuki, Wataru, Ed.; Storch, Neomy, Ed. – Language Learning & Language Teaching, 2020
This book is the first to bring together a collection of recent empirical studies investigating languaging, an important construct first introduced by Swain in 2006 but which has since been deployed in a growing number of L2 studies. The contributing authors include both established and emerging authors from around the globe. They report on…
Descriptors: Second Language Learning, Second Language Instruction, Oral Language, Written Language
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
Roscoe, Rod D.; Varner, Laura K.; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2013
Various computer tools have been developed to support educators' assessment of student writing, including automated essay scoring and automated writing evaluation systems. Research demonstrates that these systems exhibit relatively high scoring accuracy but uncertain instructional efficacy. Students' writing proficiency does not necessarily…
Descriptors: Writing Instruction, Intelligent Tutoring Systems, Computer Assisted Testing, Writing Evaluation
Previous Page | Next Page »
Pages: 1 | 2