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Quynh Nhu Pham; Vu Phi Ho Pham – Online Submission, 2024
This study aimed to analyze common syntactic errors found in the argumentative essays of third-year English major students at the Faculty of Foreign Languages, Van Lang University, Vietnam. Quantitative and qualitative methods were used to obtain data in this study. The quantitative approach involved counting and calculating the frequency,…
Descriptors: Syntax, Error Patterns, Persuasive Discourse, Essays
Yoshimasa Ogawa – Journal of Response to Writing, 2025
This study explored a way to help Japanese university students write longer essays while maintaining grammatical accuracy. Participants were three groups of students enrolled in a one-year EFL course in different academic years (N = 111), and the number of words they wrote in 30 minutes and the number of errors made per 100 words were compared. To…
Descriptors: English (Second Language), Second Language Learning, Accuracy, Writing Evaluation
Fitrawati; Safitri, Dian – International Journal of Language Education, 2021
Students of English as a Foreign Language (EFL) are expected to master the fundamental of grammar so they can produce good essays. However, despite having learned English at the secondary or university level, students tend to make many grammatical errors in their writing. This study presents the grammatical errors made by college EFL students in…
Descriptors: Undergraduate Students, Grammar, Verbs, Error Patterns
Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Beth Muthoni Kangangi; Catherine Waithera Ndung'U; Peter Kinyanjui Mwangi – International Journal of Education and Literacy Studies, 2024
The study examined the types of language errors made by learners in the English narrative essays. It also assessed the feedback techniques employed by teachers of English in the handling of language errors in the English narrative essays. A descriptive research design was employed to examine errors of English narrative essays of 181 form two…
Descriptors: Error Analysis (Language), English (Second Language), Second Language Learning, Second Language Instruction
Eng, Lin Siew; Luyue, Chen; Lim, Chang Kuan – International Journal of Instruction, 2020
Many of the students of the English Language & Communication (ELC) department at UCSI University are Malaysian Chinese (MC) students and International Chinese (IC) students from China. All the courses in the university are conducted in English. Currently, there is still lack of research done on grammatical errors among these students who…
Descriptors: Foreign Countries, Comparative Education, Second Language Learning, English (Second Language)
Shin, Gyu-Ho; Jung, Boo Kyung – Australian Review of Applied Linguistics, 2022
Studies on the role of input in L2 acquisition often estimate L2 input properties through L1 corpora and focus on L2-English. This study probes the initial stage of L2-Korean learning for adult English-speaking beginners of Korean to investigate input-output relations in the acquisition of L2 that is typologically different from English in a more…
Descriptors: Role, Linguistic Input, Korean, Textbooks
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
Hani Hamad M. Albelihi; Arif Al-Ahdal – Asian-Pacific Journal of Second and Foreign Language Education, 2024
The current study explores error fossilization in the academic writing of Saudi English as a Foreign Language (EFL) undergraduate learners. A manual textual analysis approach, employing corpus content analysis on writing across diverse genres including argumentative, expository, narrative, and descriptive essays was conducted to discover the…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Error Patterns
Alsher, Tasnim – International Journal of Research in Education and Science, 2021
This study investigated writing errors committed by engineering students at AnNajah National University in Palestine and compared these errors based on school type. It analyzed errors in essays of 54 undergraduate students, 28 attended governmental schools, and 26 attended private schools. Errors were classified based on James's taxonomy. Results…
Descriptors: Essays, Writing Achievement, Writing Skills, Error Patterns
Lei, Jiun-Iung – English Language Teaching, 2020
While Automated Writing Evaluation (AWE) can perform an error diagnosis (Chen & Cheng, 2008), previous studies used to exclude it from the process of error analysis. This study aimed to examine the reactions of Grammarly Premium towards a group of night school students' English writings at a Taiwanese technical university. The participants of…
Descriptors: Writing Evaluation, Computer Software, Error Analysis (Language), Second Language Learning
Phoophuangpairoj, Rong; Pipattarasakul, Piyarat – International Journal of Educational Methodology, 2022
During the pandemic of Coronavirus disease 2019 (COVID-19), English as a foreign language (EFL) students have to study and submit their assignments and quizzes through online systems using electronic files instead of hardcopies. This has created an opportunity for teachers to use computer tools to conduct preliminary assessment of the students'…
Descriptors: Essays, Writing Evaluation, Second Language Learning, Second Language Instruction
Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
Kampookaew, Parima – rEFLections, 2020
Grammatical errors are major concerns for many teachers and students. The first step in tackling these errors is to investigate what kinds of grammatical errors students make and how frequently they occur so that remedies can be sought. This study thus set out to analyze the essays written by Thai EFL students. The data used for analysis were 58…
Descriptors: Grammar, Error Analysis (Language), Second Language Learning, Second Language Instruction
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