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Sha Gao – International Review of Research in Open and Distributed Learning, 2024
Artificial Intelligence (AI), as an innovation in technology, has greatly affected human life. AI applications such as ChatGPT have been used in different fields, particularly education. However, the use of AI applications to enhance undergraduate students' academic emotions and test anxiety has not been appropriately investigated. This study…
Descriptors: Artificial Intelligence, Undergraduate Students, Test Anxiety, Technology Uses in Education
Jiayu Liu; Junjuan Gu; Chen Feng; Weiting Shi; Chris Biemann; Xingshan Li – Scientific Studies of Reading, 2024
Purpose: This study was designed to distinguish the degree of sharing of representations between different modalities by investigating whether a word encountering experience in one modality impacts word processing in another modality. Method: In three experiments, participants experienced some words frequently in the auditory modality (Experiment…
Descriptors: Foreign Countries, Learning Modalities, Chinese, Form Classes (Languages)
Deyan Zou; Binghui Wang – Quality Assurance in Education: An International Perspective, 2024
Purpose: The number of universities offering Master of Translation and Interpreting (MTI) in China has increased to 316 in 15 years. This paper aims to take a closer look at the production patterns of experimental report theses in terms of total number, distribution across universities, supervision model and research content, reflects on the…
Descriptors: Translation, Masters Programs, Graduate Students, Masters Theses
Chuanli Zang; Ying Fu; Hong Du; Xuejun Bai; Guoli Yan; Simon P. Liversedge – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Arguably, the most contentious debate in the field of eye movement control in reading has centered on whether words are lexically processed serially or in parallel during reading. Chinese is character-based and unspaced, meaning the issue of how lexical processing is operationalized across potentially ambiguous, multicharacter strings is not…
Descriptors: Chinese, Reading Processes, Language Processing, Phrase Structure
Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics
Yipeng Zhao; Yan Li; Yuyao Xiao; Haodong Chang; Bo Liu – SAGE Open, 2024
The swift incorporation of artificial intelligence (AI) into higher education has significantly propelled the digital transformation of education. This advancement is crucial for educators aiming to augment teaching quality through AI technologies, such as ChatGPT. However, the acceptance of ChatGPT among college students remains underexplored.…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Wenjing Chen; Chunyan Liang; Zhao Gao; Jiehui Hu; Tao Wang; Shan Gao – Journal of Multilingual and Multicultural Development, 2024
Speech listeners focus on a speaker's face to acquire different information in social communication. Fixation on the mouth associates with language processing and attention to the eyes is mainly driven by social/emotional cues. Here, we investigated how selective attention to the eyes and mouth would vary with language-emotion interaction during…
Descriptors: Foreign Countries, College Students, Bilingual Students, Chinese
Jinhee Kim; Seongryeong Yu; Rita Detrick; Na Li – Education and Information Technologies, 2025
The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Yang Liu – Education and Information Technologies, 2024
The use of smart technologies in bilingual education opens up new opportunities for language learning. This study aims to examine the influence of bilingualism on neural connections and brain activity in the context of education based on smart technologies. To achieve this goal, an experiment used functional magnetic resonance imaging (fMRI). An…
Descriptors: Foreign Countries, Multilingualism, Foreign Students, College Students
Shuyuan Chen; Jinzuan Chen; Yanping Liu – Scientific Studies of Reading, 2024
Purpose: This study aims to examine whether binocular vision plays a facilitating or impeding role in lexical processing during sentence reading in Chinese. Method: Adopting the revised boundary paradigm, we orthogonally manipulated the parafoveal and foveal viewing conditions (monocular vs. binocular) of target words (high- vs. low-frequency)…
Descriptors: Chinese, Reading Processes, Eye Movements, Language Processing
Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
Lei Du; Beibei Lv – Education and Information Technologies, 2024
This research examines the influence of integrating generative artificial intelligence (GAI) in education, focusing on its acceptance and utilization among elementary education students. Grounded in the Task-Technology Fit (TTF) Theory and an expanded iteration of the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study…
Descriptors: Influences, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Yu Bai; Jun Li; Jun Shen; Liang Zhao – IEEE Transactions on Learning Technologies, 2024
The potential of artificial intelligence (AI) in transforming education has received considerable attention. This study aims to explore the potential of large language models (LLMs) in assisting students with studying and passing standardized exams, while many people think it is a hype situation. Using primary education as an example, this…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Jimin Kahng – Studies in Second Language Acquisition, 2024
The development of L2 utterance fluency has been extensively researched, whereas that of cognitive fluency has rarely been examined. This study investigated the longitudinal development of L2 utterance and cognitive fluency and their relationship. Thirty-one Chinese learners of English completed speaking tasks and a set of tasks for cognitive…
Descriptors: Longitudinal Studies, Language Fluency, Syntax, Language Processing
Tao Zeng; Peng Xu; Xi Gao – SAGE Open, 2024
This study aims to investigate the effectiveness of explicit information (EI) in the context of Processing Instruction (PI) as an alternative to traditional teaching methods. PI encompasses explicit information and structured input activity (SI). However, the effectiveness of EI has been a subject of debate. To address this question, grade-7…
Descriptors: Middle School Students, Second Language Instruction, Second Language Learning, English (Second Language)