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Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
Sangmin-Michelle Lee; Nayeon Kang – Language Learning & Technology, 2024
With recent improvements in machine translation (MT) accuracy, MT has gained unprecedented popularity in second language (L2) learning. Despite the significant number of studies on MT use, the effects of using MT on students' retention of learning or secondary school students' use of MT in L2 writing has rarely been researched. The current study…
Descriptors: Second Language Instruction, Writing (Composition), Middle School Students, Foreign Countries
Powell, Natasha; Baldwin, Jeffrey; Manning, Jennifer – International Journal of Technology in Education and Science, 2022
As technology advances, and more students have constant access to cell phones, laptops and tablets inside the classroom, the use of machine translation (MT) by language learners will continue to rise. Therefore, in order for instructors to better design courses they should strive to understand how students are using machine translation, as well as…
Descriptors: STEM Education, Graduate Students, Foreign Countries, Computational Linguistics
Yoo, Jiseung; Kim, Min Kyeong – Contemporary Educational Technology, 2023
This study focuses on how teachers' pedagogical content knowledge (PCK) of mathematics may differ depending on teacher interactions in an online teacher community of practice (CoP). The study utilizes data from 26,857 posts collected from the South Korean self-generated online teacher CoP, 'Indischool'. This data was then analyzed using natural…
Descriptors: Natural Language Processing, Elementary School Teachers, Pedagogical Content Knowledge, Mathematics Instruction
McDonald, Margarethe; Kwon, Taeahn; Kim, Hyunji; Lee, Youngki; Ko, Eon-Suk – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The algorithm of the Language ENvironment Analysis (LENA) system for calculating language environment measures was trained on American English; thus, its validity with other languages cannot be assumed. This article evaluates the accuracy of the LENA system applied to Korean. Method: We sampled sixty 5-min recording clips involving 38 key…
Descriptors: Computational Linguistics, Korean, Audio Equipment, Accuracy
Almusharraf, Asma; Bailey, Daniel – Journal of Computer Assisted Learning, 2023
Background: Language learners are taking advantage of the increased accuracy afforded by machine translation (MT) tools like Google Translate. There is a growing debate as to whether these tools support or hinder English as a foreign language (EFL) education. Some EFL students are drawn to MT tools to save time and energy when communicating, but…
Descriptors: Translation, Computational Linguistics, Language Acquisition, Second Language Learning
Park, Shinjae – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2022
Despite writing and speaking being related activities, their end-products are entirely different. However, previous studies have not shown consistency in terms of grammar use in these two modes. Accordingly, in the present study, I aim to define the syntactic characteristics in these two modes with large-scale data and organized research designs.…
Descriptors: Computational Linguistics, Grammar, Undergraduate Students, English (Second Language)
Samir, Aynaz; Motallebzadeh, Khalil – SAGE Open, 2023
The current master's curriculum in English Translation major in Iranian universities has not satisfied the demands of the society in which it was developed. Translation students have complained that some essential skills are not considered in the curriculum. Therefore, this study is aimed at proposing some guidelines for curriculum reformers in…
Descriptors: Masters Degrees, Curriculum, Comparative Education, English (Second Language)
Choi, Heekyung – Journal of Language and Linguistic Studies, 2021
This study examines how English has penetrated the Korean language by analyzing Anglicisms in weekly news magazine articles, with special reference to translation as a mode of language contact. For this purpose, it conducts a diachronic quantitative analysis of the occurrence of Anglicisms by compiling and utilizing corpora consisting of…
Descriptors: Diachronic Linguistics, Computational Linguistics, Sociolinguistics, Korean
Park, Shinjae – Journal of Language and Linguistic Studies, 2022
Based on the quantitative analysis of L2 English texts from Korean undergraduates, the present paper demonstrates the possibility of distinguishing L2 speaking proficiency with differing measures of syntactic complexity in English writing. To this end, 14 measures of complexity were gauged using an L2 Syntactic Analyzer (Lu, 2010) in 89 EFL essays…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Essays
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Lee, Sangmin-Michelle; Briggs, Neil – ReCALL, 2021
In recent years, marked gains in the accuracy of machine translation (MT) outputs have greatly increased its viability as a tool to support the efforts of English as a foreign language (EFL) students to write in English. This study examines error corrections made by 58 Korean university students by comparing their original L2 texts to that of MT…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
Yang, Kyungmo; Bae, Jiyoung – English Teaching, 2022
The purpose of this study was to investigate the continuity of reading passages of Korean high school English textbooks with the 2015 Revised National Curriculum using CohMetrix, a software that analyzes English texts in a range of linguistic features. Twentyone English textbooks were analyzed: 11 High School English, five High School English I,…
Descriptors: High School Students, English (Second Language), Second Language Learning, Second Language Instruction
Lee, Sinae; Park, Hae In – English Teaching, 2023
While metadiscourse use has been well-attended in second language (L2) writing research, relatively less effort has been made in documenting changing patterns of metadiscourse use among L2 writers. The present study addressed this gap by probing a diachronic change of interactive metadiscourse in research articles published in "English…
Descriptors: Second Language Learning, Second Language Instruction, Writing Research, Language Patterns
Sung, Min-Chang; Kim, Hyunwoo – Second Language Research, 2022
How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…
Descriptors: Language Processing, Verbs, Generalization, Task Analysis