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Showing 1 to 15 of 37 results Save | Export
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Almusharraf, Norah; Alotaibi, Hind – Technology, Knowledge and Learning, 2023
Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…
Descriptors: Writing Evaluation, Writing Tests, Essay Tests, Essays
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Ming Chen; Yongbing Liu – Asia Pacific Journal of Education, 2025
This corpus-based study investigates lexical richness in English writing by Chinese senior high school students. Lexical uses in 303 compositions were compared across three grades in terms of lexical sophistication, variation, density and errors. Timed compositions were sampled from Writing Corpus of English Learners, and the sample sizes of three…
Descriptors: Writing Instruction, High School Students, Connected Discourse, Foreign Countries
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Cherepovskaia, Natalia; Slioussar, Natalia; Denissenko Denissenko, Anna – Second Language Research, 2022
Using written texts elicited from students with different proficiency levels, we studied the acquisition of nominal cases in Russian as a second language. We established the order in which cases were acquired (nominative, locative, accusative, genitive, instrumental, and dative), as well as certain characteristics of their acquisition…
Descriptors: Russian, Nouns, Second Language Learning, Language Proficiency
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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
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Phuong, Do Thi Vu – Pegem Journal of Education and Instruction, 2022
This study investigated common written errors and the causes that language learners frequently commit. A descriptive qualitative approach was conducted with the participation of 57 eleventh-graders at a high school in Hung Yen province during the second term of the academic year 2021-2022. The respondents were requested to participate in five…
Descriptors: Writing Evaluation, Error Analysis (Language), English (Second Language), Second Language Learning
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Mária Spišiaková; Nina Mocková; Natalia Shumeiko – Advanced Education, 2023
Different linguistic classifications of Spanish and Slovak make the differences between these two languages. The genetic criterion classifies languages, clustering them into language families, the largest among which is the Indoeuropean one. The typological criterion divides languages according to their grammatical structures. Meanwhile, Slovak is…
Descriptors: Slavic Languages, Spanish, Interference (Language), Linguistic Theory
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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
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Arifi Waked; Muhammad W. Ashraf; Hanadi AbdelSalam; Khadija El Alaoui; Maura Pilotti – International Society for Technology, Education, and Science, 2024
Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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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
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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
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Suraprajit, Prathomwat – English Language Teaching, 2022
Conditional sentences are difficult for EFL students to understand because of their complexity in both form and function. By analyzing the performances and opinions among EFL learners, the pedagogical contribution may be beneficial for both EFL students and teachers. The use, errors, and perceptions of Thai EFL students regarding conditional…
Descriptors: Language Usage, Error Patterns, Self Concept, English (Second Language)
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Hosseinpur, Rasoul Mohammad; Pour, Hossein Hosseini – TESL-EJ, 2022
A compelling body of evidence suggests that EFL students have problem with logical connectors' appropriate use in writing. This study explored Iranian EFL students' adversative connectors use in their essay writing course. To this end, a Learner Corpus of 60393 words consisting of 156 essays was compiled. LOCNESS was chosen as the criterion…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Native Language
Ginting, Siti Aisah – Online Submission, 2019
This study was aimed at identifying the kinds and frequency of formal errors on Indonesian English as a Foreign Language (EFL) learners' descripting writing. Therefore, descriptive analysis research design was implemented to achieve the objective. The data were collected from the descriptive writing of university students in Indonesia (N = 40).…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Error Patterns
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Arévalo, María-José; Cantera, María Asun; García-Marina, Vanessa; Alves-Castro, Marian – Education Sciences, 2021
Although Error Analysis (EA) has been broadly used in Foreign Language and Mother Tongue learning contexts, it has not been applied in the field of engineering and by STEM (Science, Technology, Engineering, and Mathematics) students in a systematic way. In this interdisciplinary pilot study, we applied the EA methodology to a wide corpus of…
Descriptors: STEM Education, Instructional Design, Essays, Computational Linguistics
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Kato, Makiko – English Language Teaching, 2022
English teachers, especially those who teach summary writing to students with relatively lower proficiency in English face difficulty in teaching summary writing and while assessing their students' performances. In the classroom context, an analytic rubric is pedagogically more helpful than a holistic rubric because the teacher can confirm the…
Descriptors: Scoring Rubrics, Writing Skills, Writing Evaluation, Language Proficiency
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