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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
Alenazi, Yasir; Chen, Shen; Picard, Michelle; Hunt, Jaime W. – International TESOL Journal, 2021
The English language plays a significant role in Saudi Arabia at the local and international levels. Spelling errors, as one of the challenging elements in writing confronted by Saudi learners of English, have a negative effect on the quality of their written translation products (Ababneh, 2019). Therefore, more analytical studies are needed to…
Descriptors: Computational Linguistics, Translation, English (Second Language), Second Language Learning
Amnuai, Wirada – Advances in Language and Literary Studies, 2020
Errors in writing are unavoidable while students are trying to develop their writing skills. There have been several studies on identifying writing problems or errors in students' writing. It is believed that identifying students' written tasks is an effective tool to explore the difficulties involved in learning language. This helps teachers'…
Descriptors: Writing Skills, Undergraduate Students, English for Academic Purposes, Error Patterns
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
Tongpoon-Patanasorn, Angkana; Griffith, Karl – PASAA: Journal of Language Teaching and Learning in Thailand, 2020
Machine translation (MT), especially Google Translate (GT), is widely used by language learners and those who need help with translation. MT research, particularly that which examines the quality and usability of the translation produced by the MT, only makes up a handful of studies. Moreover, only a few of them have looked at translation quality…
Descriptors: Translation, Computational Linguistics, Second Language Learning, English (Second Language)
Vázquez-Cano, Esteban; González, Ana Isabel Holgueras; Sáez-López, José Manuel – Journal of Computing in Higher Education, 2019
This article presents an analysis of the orthographic errors found in university students' asynchronous digital writing. A university and a society belonging to the twenty-first century require students and professionals who can use their language correctly in any context, device and mode of communication. The research was based on a sample of…
Descriptors: Spelling, Error Patterns, College Students, Writing (Composition)
Nuruzzaman, Mohammed; Islam, A. B. M. Shafiqul; Shuchi, Israt Jahan – Advances in Language and Literary Studies, 2018
The present study investigates the writing errors of ninety Saudi non-English major undergraduate students of different proficiency levels from three faculties, who studied English as a foundation course at the English Language Center in the College of Languages &Translation at King Khalid University, Saudi Arabia in the academic year 2016-17.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Nonmajors
Pescante-Malimas, Mary Ann; Samson, Sonrisa C. – IAFOR Journal of Language Learning, 2017
This study identified and analyzed the common linguistic errors encountered by Linguistics, Literature, and Advertising Arts majors in their Thesis Proposal classes in the First Semester 2016-2017. The data were the drafts of the thesis proposals of the students from the three different programs. A total of 32 manuscripts were analyzed which was…
Descriptors: Error Analysis (Language), Proposal Writing, Theses, Student Writing Models
Hamed, Muftah – Arab World English Journal, 2018
This study aims to investigate the most common types of linguistic errors and their frequency occurrence in compositions written by forty (40) non-English major Libyan students at the pre-intermediate level in Language Centre at Omar EL-Mukhtar University, EL-Beida, Libya. A corpus of 40 compositions was collected from a sample of 40 students in…
Descriptors: Error Analysis (Language), Error Patterns, Undergraduate Students, Writing Evaluation
Amoakohene, Benjamin – International Journal of Higher Education, 2017
Writing is considered as a daunting task in second language learning. It is argued by most scholars that this challenge is not only limited to second language speakers of English but even to those who speak English as their first language. Thus, the ability to communicate effectively in English by both native and non-native speakers requires…
Descriptors: Essays, Writing Assignments, Error Patterns, Allied Health Occupations Education
Protopapas, Athanassios; Fakou, Aikaterini; Drakopoulou, Styliani; Skaloumbakas, Christos; Mouzaki, Angeliki – Reading and Writing: An Interdisciplinary Journal, 2013
In this study we propose a classification system for spelling errors and determine the most common spelling difficulties of Greek children with and without dyslexia. Spelling skills of 542 children from the general population and 44 children with dyslexia, Grades 3-4 and 7, were assessed with a dictated common word list and age-appropriate…
Descriptors: Foreign Countries, Spelling, Classification, Error Patterns
Alamin, Abdulamir; Ahmed, Sawsan – English Language Teaching, 2012
Analyzing errors committed by second language learners during their first year of study at the University of Taif, can offer insights and knowledge of the learners' difficulties in acquiring technical English communication. With reference to the errors analyzed, the researcher found that the learners' failure to understand basic English grammar…
Descriptors: Technical Writing, College Students, Error Patterns, Error Analysis (Language)

Merrifield, Doris Fulda – Unterrichtspraxis/Teaching German, 1991
Offers sufficient responses to 60 of the most frequently made errors in German grammar, plus 13 punctuation rules, and proposes that the instructor hand out this list to the students and henceforth "tag" language errors by the corresponding number, then have the student correct them and resubmit the assignment for a better grade. (GLR)
Descriptors: Error Analysis (Language), Error Correction, Error Patterns, German
Monagle, E. Brette – 1982
Error pattern analysis is a teaching technique that emphasizes identifying, classifying, and keeping a frequency count on only those errors actually occurring in students' writing. Application of error pattern analysis in a workshop format requires three steps: preparing an error pattern analysis, teaching from this analysis, and integrating it…
Descriptors: Editing, Error Analysis (Language), Error Patterns, Evaluation Methods

Hull, Glynda; And Others – Computers and the Humanities, 1987
Examines the use of computers for error detection in natural language texts. Focuses on a computer program designed to teach students to edit their papers for errors using pattern matching in error detection. Describes a "pedagogy for editing" and speculates on ways to improve computer detection of errors in natural language texts. (AEM)
Descriptors: Computer Assisted Instruction, Courseware, Editing, Educational Technology
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