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Zhang, Xiaopeng; Lu, Xiaofei; Li, Wenwen – Applied Linguistics, 2022
This study explored the relationship between linguistic features and the rated quality of letters of application (LAs) and argumentative essays (AEs) composed in English by Chinese college-level English as a foreign language (EFL) learners. A corpus of 260 LAs and 260 AEs were analyzed via a confirmatory factor analysis. Latent variables were EFL…
Descriptors: Foreign Countries, College Students, Second Language Learning, English (Second Language)
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Chon, Yuah V.; Shin, Dongkwang – English Teaching, 2020
While learners may have access to reference tools during second language (L2) writing, the latest developments in machine translation (MT), such as "Google Translate" requires examination as to how using the tool may factor into the second language learners' writing products. To this end, the purpose of this study was to examine how MT…
Descriptors: Translation, Computational Linguistics, Second Language Learning, English (Second Language)
Ahmad, Zulfiqar – Online Submission, 2019
Assuming cohesion as a non-structural resource of texture in text, the present study analyzed students' academic essays to establish the role of cohesion in creating text. A survey was also conducted to gauge students' beliefs about their ability to use cohesive devices in writing. The results of the text analysis and the survey were then used to…
Descriptors: Connected Discourse, Essays, Academic Language, Writing (Composition)
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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
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Johnson, Mark – English Teaching Forum, 2017
This article presents a three-strand approach to help L2 writers in English as a foreign language (EFL) and English as a second language (ESL) instructional contexts achieve greater cohesion in their written work. The approach focuses on (1) the analysis of authentic texts, (2) the development of productive vocabulary, and (3) information…
Descriptors: Writing Processes, Writing Ability, Writing (Composition), Lexicology
Öncel, Püren; Flynn, Lauren E.; Sonia, Allison N.; Barker, Kennis E.; Lindsay, Grace C.; McClure, Caleb M.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2021
Automated Writing Evaluation systems have been developed to help students improve their writing skills through the automated delivery of both summative and formative feedback. These systems have demonstrated strong potential in a variety of educational contexts; however, they remain limited in their personalization and scope. The purpose of the…
Descriptors: Computer Assisted Instruction, Writing Evaluation, Formative Evaluation, Summative Evaluation
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Mallahi, Omid – Language Teaching Research Quarterly, 2022
The present study intended to investigate the summary writing strategy use and writing quality of 57 Iranian EFL learners in an academic setting. As for collecting the required data, the students (1) completed an expository essay (as a measure of their writing competence), (2) summarized the literature review section of a research paper (as a…
Descriptors: Foreign Countries, Writing Strategies, Writing (Composition), English (Second Language)
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Lachner, Andreas; Backfisch, Iris; Nückles, Matthias – Educational Technology Research and Development, 2018
Students are often challenged by the demand of writing cohesive explanatory texts. Prior research has shown that providing students with concept map feedback that visualizes explanatory cohesion deficits helped students generate more cohesive explanations. We conducted an experiment to investigate whether the accuracy of the provided information…
Descriptors: Accuracy, Concept Mapping, Feedback (Response), Writing (Composition)
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Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2016
This study examines links between essay quality and text elaboration and text cohesion. For this study, 35 students wrote two essays (on two different prompts) and for each, were given 15 minutes to elaborate on their original text. An expert in discourse comprehension then modified the original and elaborated essays to increase cohesion,…
Descriptors: Essays, Writing Assignments, Writing Skills, Connected Discourse
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Li, Haiying; Graesser, Arthur C. – Journal of Research on Technology in Education, 2021
This study investigated how computer agents' language style affects summary writing in an Intelligent Tutoring System, called CSAL AutoTutor. Participants interacted with two computer agents in one of three language styles: (1) a "formal" language style, (2) an "informal" language style, and (3) a "mixed" language…
Descriptors: Intelligent Tutoring Systems, Language Styles, Writing (Composition), Writing Improvement
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Karabulut, Aslihan; Kesli Dollar, Yesim – Participatory Educational Research, 2022
Despite the blurred boundaries among languages and classroom evidence contrary to the implementation of monolingual pedagogies, the dominance of monolingual policies for teaching foreign languages continues to persist. To provide foreign language learners with an appropriate bilingual pedagogy and target one of the most challenging second language…
Descriptors: Second Language Instruction, English (Second Language), Translation, Bilingual Education
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Petchprasert, Anongnad – Asian-Pacific Journal of Second and Foreign Language Education, 2021
Recently, the integration of linguistics and technology has been promoted and widely used in the field of linguistics and English writing research for several purposes. One of those purposes is to evaluate English as a Foreign Language (EFL) writing ability by using electronic assessment tools. In the current study, an automated writing evaluation…
Descriptors: Undergraduate Students, Second Language Instruction, Second Language Learning, English (Second Language)
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Shin, Jinnie; Gierl, Mark J. – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) technologies provide innovative solutions to score the written essays with a much shorter time span and at a fraction of the current cost. Traditionally, AES emphasized the importance of capturing the "coherence" of writing because abundant evidence indicated the connection between coherence and the overall…
Descriptors: Computer Assisted Testing, Scoring, Essays, Automation
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MacArthur, Charles A.; Jennings, Amanda; Philippakos, Zoi A. – Reading and Writing: An Interdisciplinary Journal, 2019
The study developed a model of linguistic constructs to predict writing quality for college basic writers and analyzed how those constructs changed following instruction. Analysis used a corpus of argumentative essays from a quasi-experimental, instructional study with 252 students (MacArthur, Philippakos, & Ianetta, 2015) that found large…
Descriptors: Persuasive Discourse, Writing Skills, Essays, Factor Analysis
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Ahmadi, Saeed; Riasati, Mohammad Javad; Bavali, Mohammad – International Journal of Instruction, 2019
The present study aimed at investigating whether academic IELTS candidates perform differently in writing on either a chart topic or a table topic of the IELTS writing task 1 with regard to the four IELTS writing marking criteria i.e. task achievement, coherence and cohesion, lexical resource, and grammar range and accuracy. The study adopted a…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Tests
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