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Xiaozhe Yang; Qingqing Wang; Jiyue Lyu – ECNU Review of Education, 2024
Purpose: ChatGPT is a generative artificial intelligence (AI) technology that can solve multiple complex tasks. ChatGPT-4 can facilitate educational empowerment in China through technology to understand and generate Chinese text. Although ChatGPT's benefits have been widely discussed, its educational capabilities have not been systematically…
Descriptors: Artificial Intelligence, Computer Software, Critical Thinking, Foreign Countries
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Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
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Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
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Chen, Yulin – Education and Information Technologies, 2023
This study investigated the motivation of Taiwanese undergraduate EFL students in learning English-to-Chinese translation and the intention to use a digital game-based learning app called CHEN-slate. The app, consisting of a learning zone, practice zone, and competition zone and including translation skills needed for actual translation practice,…
Descriptors: Translation, Game Based Learning, English (Second Language), Second Language Learning
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Liu, Pei-Lin; Chen, Chiu-Jung – Educational Technology & Society, 2023
This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…
Descriptors: Translation, Artificial Intelligence, Computational Linguistics, Computer Software
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Wang, Tai-Jui – Research in Dance Education, 2022
Chinese opera performance proceedings can be divided into two types. The first is 'visible proceedings', which can be directly seen and heard in the performance, and the second is 'invisible proceedings', which arrange the story and performance of the opera using procedural thinking. The research methods of this study were mainly used to analyze…
Descriptors: Music Education, Teaching Methods, Performance, Instructional Improvement
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Rui Li – Language Learning & Technology, 2024
Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…
Descriptors: Oral Language, Skill Development, Speech Communication, Second Language Instruction
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Xiaoji Wang; Wenying Jiang – Computer Assisted Language Learning, 2024
Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…
Descriptors: Computer Software, Computer Mediated Communication, Cultural Awareness, Learning Activities
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Zhou, Wenying; Li, Xiaoshi – Knowledge Management & E-Learning, 2022
Many people who learn Chinese as a foreign language (CFL) have encountered challenges when it comes to character writing. This was a follow-up study of our quantitative study in 2019 that showed that mobile app was a significantly more effective method than pen-and-paper method to learn Chinese character writing. Thirty beginning CFL learners…
Descriptors: Orthographic Symbols, Writing (Composition), Computer Software, Telecommunications
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Alm, Antonie; Watanabe, Yuki – Research-publishing.net, 2021
This short paper reports on the preliminary findings of a study into the use of Online Translators (OTs) by university language students. Students of Chinese, French, German, Japanese, and Spanish and their teachers responded to comparative surveys on their respective use and evaluation of OTs for L2 writing in formal language learning contexts.…
Descriptors: Translation, Computational Linguistics, Second Language Learning, Second Language Instruction
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Limei Shan – International Journal of Technology in Teaching and Learning, 2023
This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Second Language Instruction
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Li, Shanpeng; Gu, Wentao; Liu, Lei; Tang, Ping – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Sarcasm is a specialized speech act in daily vocal communication usually characterized by unique prosodic features, but the role of voice quality in expressing sarcasm has not been explored much. The goal of this study is to explore the voice quality features of Mandarin sarcastic speech in comparison to sincere speech. Method: Fifteen…
Descriptors: Language Usage, Mandarin Chinese, Speech Communication, Comparative Analysis
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Song, Qiuyuan – English Language Teaching, 2021
This study aims to explore how corpus-based approaches can be used to address the distinctions of English near-synonyms effectively. Especially, it collected source data from the British National Corpus (BNC) and adopted Sketch Engine (SkE) as an analyzing tool to compare the near synonymous pair "damage" and "destroy" commonly…
Descriptors: Computational Linguistics, Phrase Structure, English, Language Usage
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Teeranon, Phanintra – Asian Journal of Education and Training, 2020
This research analyzes the acoustic characteristics and conducts a perception test of Thai tones produced by Chinese learners learning Thai through the "Thai Tone Application". A comparison of Thai tones pronounced by 40 Chinese learners learning Thai at Nakhon Ratchasima Rajabhat University with 40 Thai native speakers was also…
Descriptors: Acoustics, Auditory Perception, Language Tests, Thai
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He, Yan; Tao, Youlan – Interpreter and Translator Trainer, 2022
Though students are taught translation technology, when confronted with real-life translation tasks, they frequently fail to use technologies flexibly and properly. To address this issue, this study first highlighted the concept of translation technological thinking competence (TTTC) and its significance. Then it proposed the Knowing-Acting…
Descriptors: Translation, Thinking Skills, Technological Literacy, Teaching Methods
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