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Ha, Xuan Van; Murray, Jill C. – Language Teaching Research, 2023
This study investigates Vietnamese EFL teachers' beliefs and practices regarding oral corrective feedback, exploring and seeking to explain some of the relationships between beliefs and classroom practices. Data were collected in primary schools in Vietnam, and consist of 24 classroom observations and interviews with six teachers. Overall, the…
Descriptors: Error Correction, Feedback (Response), Teacher Student Relationship, English (Second Language)
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Wong, Man Ho Ivy – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2023
Informed by two usage-based approaches, this study investigated to what extent different types of computer-based training facilitated English preposition learning among intermediate Chinese learners of English. The design of the pedagogical materials was informed by the cognitive linguistics (CL) framework while the training format was motivated…
Descriptors: Teaching Methods, Concept Formation, Computer Assisted Instruction, Comparative Analysis
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Pariwat Imsa-ard; Supong Tangkiengsirisin – PASAA: Journal of Language Teaching and Learning in Thailand, 2023
Language assessment literacy (LAL) remains an uncharted area for many English language lecturers, hindering their ability to effectively bridge the gap between theoretical knowledge and practical application in language assessment within the classroom setting. This research aimed to investigate the language assessment literacy of Thai EFL…
Descriptors: Language Tests, Language Teachers, Knowledge Level, Second Language Learning
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Jiyeon Kim – English Teaching, 2023
This study investigated primary teachers' knowledge of pronunciation instruction, and its manifestation in classroom practices in Korean EFL contexts. To this end, the questionnaire data collected from 47 teachers were quantitatively analyzed. The emerging themes from 5 teachers' interviews were qualitatively analyzed, based on content analysis.…
Descriptors: Elementary School Students, Technological Literacy, Pedagogical Content Knowledge, Pronunciation Instruction
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Safadi, Rafi' – International Journal of Science Education, 2022
Troubleshooting activities require students to diagnose teacher-crafted erroneous examples by detecting and explaining the conceptual errors driving them. In a previous study, the author tested whether diagnosing erroneous examples and then scoring them using a rubric that contained the related worked examples, a step-by-step strategy to solve a…
Descriptors: Error Patterns, Scientific Concepts, Physics, Science Instruction
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Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
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Xu, Jinfen; Li, Changying – Studies in Second Language Learning and Teaching, 2022
This study investigates how different form-focused instruction (FFI) timing impacts English as a foreign language (EFL) learners' grammar development. A total of 169 Chinese middle school learners were assigned to four conditions randomly: control, before-isolated FFI, integrated FFI, and after-isolated FFI. The three experimental groups received…
Descriptors: Intervention, Grammar, English (Second Language), Second Language Learning
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Ritonga, Mahyudin; Zulmuqim, Zulmuqim; Bambang, Bambang; Kurniawan, Rahadian; Pahri, Pahri – World Journal on Educational Technology: Current Issues, 2022
Information technology provides a lot of convenience for humans in completing their tasks and getting results according to targets. In line with that, language teachers have a duty to find out the level of language skills and forms of language errors in students. Machine Learning as part of technology can be maximized to detect forms of Arabic…
Descriptors: Arabic, Error Correction, Video Technology, Speech Communication
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Mohsen, Mohammed Ali – Journal of Educational Computing Research, 2022
Written corrective feedback for improving L2 writing skills has been a debatable issue for more than two decades. The aims of this meta-analysis are to (1) provide a quantitative measure of the effect of computer-generated written feedback for improving L2 writing skills and (2) verify how moderators (i.e., adopted technology, task types, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Bobby, Zachariah; Radhika, M. R.; Srilatha, K.; Nithin Kumar, U.; Kavitha, S. – Biochemistry and Molecular Biology Education, 2019
Focused self-directed learning process needs to be promoted at present among graduate medical students in view of the information load and limited time available with them. In this study, comparison of the effect of identifying and correcting the mistakes in a given set of wrong statements with the effect of studying correct statements…
Descriptors: Graduate Students, Medical Students, Biochemistry, Science Education
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Michael McGuire – Vocabulary Learning and Instruction, 2019
The concept of data-driven learning (DDL) -- direct student use of corpora -- has been gaining attention among researchers and teachers. DDL gives learners the chance to take an inductive approach to learning by recognizing patterns in corpus data rather than following abstract rules. However, very few studies focus on presenting clear practices…
Descriptors: Japanese, English (Second Language), Second Language Learning, Second Language Instruction
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Nobuhiro Kamiya – Language Teaching Research, 2025
In this study, 118 native speakers of Japanese watched 48 separate video clips in which a teacher provided recasts on phonological or lexical errors to students in Portuguese, a language with which the participants were unfamiliar. In the video clips, six recast characteristics were manipulated: length, segmentation (segmented/whole), prosodic…
Descriptors: Japanese, Native Speakers, Second Language Learning, Second Language Instruction
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Moore, James W.; Russo, Kayla; Gilfeather, Angelina; Whipple, Heather M.; Stanford, Greg – Journal of Behavioral Education, 2018
Children with autism spectrum disorders (ASD) often emit errors during the establishment of conditional discriminations. These children may not respond to more traditional error-correction procedures, such as least-to-most prompting. In this study, we compared two other types of error-correction procedures, namely embedding an identity-matching…
Descriptors: Error Correction, Children, Autism, Pervasive Developmental Disorders
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Dass, Tina K.; Kisamore, April N.; Vladescu, Jason C.; Reeve, Kenneth F.; Reeve, Sharon A.; Taylor-Santa, Catherine – Journal of Applied Behavior Analysis, 2018
Research on tact acquisition by children with autism spectrum disorder (ASD) has often focused on teaching participants to tact visual stimuli. It is important to evaluate procedures for teaching tacts of nonvisual stimuli (e.g., olfactory, tactile). The purpose of the current study was to extend the literature on secondary target instruction and…
Descriptors: Autism, Pervasive Developmental Disorders, Olfactory Perception, Prompting
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Bronkema, Ryan – College Teaching, 2018
As educators, we've all probably experienced presenting in new places and/or audiences, and having some sort of mishap. Therefore, as part of their professional preparation, we should prepare our students with realistic presentation practice, mishaps and all! Within this paper, I will outline a pedagogical tool that randomizes potential…
Descriptors: Public Speaking, Student Projects, Skill Development, Teaching Methods
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