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Chuxin Liu; Jessie Wanner-Kawahara; Masahiro Yoshihara; Stephen J. Lupker; Mariko Nakayama – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Previous masked translation priming studies, especially those with different-script bilinguals, have shown that cognates provide more priming than noncognates, a difference attributed to cognates' phonological similarity. In our experiments employing a word naming task, we examined this issue for Chinese-Japanese bilinguals in a slightly different…
Descriptors: Translation, Form Classes (Languages), Priming, Bilingualism
Xia, Xinyi; Liu, Yanping; Yu, Lili; Reichle, Erik D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The Chinese writing system is different from English in that individual words both comprise one to four characters and are not separated by clear word boundaries (e.g., interword spaces). These differences raise the question of how readers of Chinese know where to move their eyes to support efficient lexical processing? The widely accepted…
Descriptors: Chinese, Written Language, Eye Movements, Language Processing
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)
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
Youxi Wang; Suke Duan; Guojie Ma; Wei Shen – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Using the printed-word paradigm with eye tracking, this study conducted three experiments to examine (a) how multiple words in spoken overlapping ambiguity strings (OASs) are activated, (b) how word frequency influences the word segmentation of spoken OASs, and (c) whether the multiple words in spoken OASs are activated competitively or…
Descriptors: College Students, Foreign Countries, Chinese, Eye Movements
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
Chen, Xuemei; Wang, Suiping; Hartsuiker, Robert J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Structural priming studies in production have demonstrated stronger priming effects for unexpected sentence structures (inverse preference effect). This is consistent with error-based implicit learning accounts that assume learning depends on prediction error. Such prediction error can be verb-specific, leading to strong priming when a verb that…
Descriptors: Sentence Structure, Priming, Language Processing, Reading Comprehension
Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
Xiaopeng Zhang; Xiaofei Lu – Language Learning, 2024
This study examined the relationship of linguistic complexity, captured using a set of lexical richness, syntactic complexity, and discoursal complexity indices, to second language (L2) learners' perception of text difficulty, captured using L2 raters' comparative judgment on text comprehensibility and reading speed. Testing materials were 180…
Descriptors: Syntax, Second Language Learning, Second Language Instruction, Decision Making
Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
Jiaxin Li; Er-Hu Zhang; Haihui Zhang; Hecui Gou; Hong-Wen Cao – International Journal of Multilingualism, 2024
Three experiments explored how retrieval practice and corrective feedback affect a third language (L3) vocabulary learning. In the first two experiments, Chinese-English bilinguals without prior French language experience studied English (Second Language, L2)--French (L3) word pairs in repeated studying or retrieval practice without (Experiment…
Descriptors: Multilingualism, Second Language Learning, Vocabulary Development, Error Correction