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Showing 1 to 15 of 17 results Save | Export
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Alexander, Katarzyna; Savvidou, Christine; Alexander, Chris – Teaching English with Technology, 2023
Recent developments in AI technologies and the increasing accessibility of AI tools, such as ChatGPT, have raised concerns about academic integrity in higher education. Thus, this research aims to shed light on the challenges faced by English as a Second Language (ESL) lecturers in identifying AI-generated texts, and highlighting the skills and…
Descriptors: Identification, Artificial Intelligence, Writing Assignments, Second Language Learning
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Ruofei Zhang; Di Zou – Computer Assisted Language Learning, 2024
Self-regulated learning has been frequently investigated and reported to be effective for second language education, so increasingly more researchers and educators have been interested in cultivating self-regulated second language learners. To assist researchers and educators, it appears beneficial to review previous studies concerning the…
Descriptors: Metacognition, Second Language Instruction, Second Language Learning, Research Reports
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Kimberly Klassen – Vocabulary Learning and Instruction, 2022
A standard treatment of proper names in second language (L2) vocabulary analyses is to categorize them as known items. This treatment is often supported by the assumption that the form of the proper name (i.e., the initial capital letter) and the context will indicate to the L2 reader that the item is a proper name. The aim of this work-in-…
Descriptors: Orthographic Symbols, Naming, Second Language Learning, Cues
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Barghamadi, Maryam; Rogers, James; Arciuli, Joanne; Han, Weifeng; Muller, Amanda – Australian Journal of Applied Linguistics, 2023
In second language learning research, L1-L2 congruency refers to the similarity in form and meaning of the way a word or phrase is said between two languages. If there is low L1-L2 congruency, the learning burden of a word or phrase can be higher, and thus, such items should be focused on more in teaching to help learners avoid errors. For…
Descriptors: Native Language, Second Language Learning, Phrase Structure, Indo European Languages
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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
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Zhang, Ruofei; Zou, Di – Education and Information Technologies, 2023
Technology-enhanced peer feedback (TEPF) activity has been increasingly investigated in L2 writing education. Researchers have conducted many review and meta-analysis studies on related research and identified factors influencing the activity effectiveness. However, few reviews have been conducted based on the activity theory that may clarify…
Descriptors: Peer Evaluation, Feedback (Response), Second Language Learning, Writing Assignments
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Al-Sobhi, Bandar Mohammad Saeed – International Journal of Education and Literacy Studies, 2019
The major aim of the current paper is to review and discuss three prevailing approaches to the study of Second Language Acquisition (SLA) since the middle of the twentieth century: Contrastive Analysis (CA, henceforth), Error Analysis (EA) and Interlanguage (IL). It begins with a general overview of how the CA approach was formulated and developed…
Descriptors: Contrastive Linguistics, Error Analysis (Language), Native Language, Second Language Learning
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Rehman, Ivana; Silpachai, Alif; Levis, John; Zhao, Guanlong; Gutierrez-Osuna, Ricardo – Language Teaching Research, 2022
The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…
Descriptors: Pronunciation, English (Second Language), Second Language Learning, Second Language Instruction
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Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Paragas, Jeger P.; Francisco, Christopher D. C. – Online Submission, 2020
The study identified the performance of Grade 7 students enrolled in Umingan Central National High School across their academic performance in English under creative writing skill. In gathering the profile of the students and their performance in identifying morphological and syntactical errors, descriptive and correlational research designs with…
Descriptors: Social Media, Creative Writing, Writing Instruction, High School Students
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Košak-Babuder, Milena; Kormos, Judit; Ratajczak, Michael; Pižorn, Karmen – Language Testing, 2019
One of the special arrangements in testing contexts is to allow dyslexic students to listen to the text while they read. In our study, we investigated the effect of read-aloud assistance on young English learners' language comprehension scores. We also examined whether students with dyslexia identification benefit from this assistance differently…
Descriptors: Dyslexia, Identification, Scores, English (Second Language)
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Phettongkam, Husna – LEARN Journal: Language Education and Acquisition Research Network, 2017
The study aims to explore the grammatical errors in spoken English of Thai University learners in a communicative business English course. The main objectives of the research study are to identify the types and frequency of grammatical errors. Collected data were analyzed according to the surface structure taxonomy to present a general overview.…
Descriptors: Grammar, Error Analysis (Language), Business English, English (Second Language)
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Can, Cem – Journal of Education and Training Studies, 2017
As learner corpora have presently become readily accessible, it is practicable to examine interlanguage errors and carry out error analysis (EA) on learner-generated texts. The data available in a learner corpus enable researchers to investigate authentic learner errors and their respective frequencies in terms of types and tokens as well as…
Descriptors: Verbs, Computational Linguistics, English (Second Language), Second Language Learning
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Mirzaei, Maryam Sadat; Meshgi, Kourosh; Kawahara, Tatsuya – Research-publishing.net, 2017
This study proposes a method to detect problematic speech segments automatically for second language (L2) listeners, considering both lexical and acoustic aspects. It introduces a tool, Partial and Synchronized Caption (PSC), which provides assistance for language learners and fosters L2 listening skills. PSC presents purposively selected words…
Descriptors: Second Language Learning, English (Second Language), Listening Comprehension, Listening Skills
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Blanchard, Daniel; Tetreault, Joel; Higgins, Derrick; Cahill, Aoife; Chodorow, Martin – ETS Research Report Series, 2013
This report presents work on the development of a new corpus of non-native English writing. It will be useful for the task of native language identification, as well as grammatical error detection and correction, and automatic essay scoring. In this report, the corpus is described in detail.
Descriptors: Language Tests, Second Language Learning, English (Second Language), Writing Tests
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