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Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Suping Yi; Wayan Sintawati; Yibing Zhang – Journal of Computer Assisted Learning, 2025
Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…
Descriptors: Reflection, Feedback (Response), Cooperative Learning, Natural Language Processing
Rui Wang; Haili Ling; Jie Chen; Huijuan Fu – International Journal of Distance Education Technologies, 2025
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the…
Descriptors: Educational Improvement, Student Needs, Computer Science Education, Foreign Countries
Ingrid Del Valle García Carreño – European Educational Researcher, 2025
The main objective of this article is to search into the exploration of the ChatGPT trend in the field of Social Sciences, focusing on its trend and its widespread global application in the digital era. It is noted that ChatGPT is an artificial intelligence system that utilizes the GPT (Generative Pre-trained Transformer) language model developed…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Social Sciences
Muhammad Farrukh Shahzad; Shuo Xu; Hira Zahid – Education and Information Technologies, 2025
Artificial Intelligence (AI) technologies have rapidly transformed the education sector and affect student learning performance, particularly in China, a burgeoning educational landscape. The development of generative artificial intelligence (AI) based technologies, such as chatbots and large language models (LLMs) like ChatGPT, has completely…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Self Efficacy
Hui Wen Chua; Nagaletchimee Annamalai – International Journal of Technology in Education, 2025
The role of AI chatbots is undergoing a transformation, where it was firstly used for English native language learning; later, it shifted to the use for learning English as a second language (ESL) and English as a foreign language learning. Lastly, it is used to learn foreign languages. Hence, due to the changes in AI chatbots' role, there is a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, English (Second Language)
Promethi Das Deep; Yixin Chen – Higher Education Studies, 2025
The COVID-19 pandemic significantly disrupted higher education. The sudden and profound transformations it necessitated had a direct and negative impact on higher education students, as evidenced by the widely reported instances of academic disengagement, decreased motivation, and lower performance. This was often due to student burnout caused by…
Descriptors: COVID-19, Pandemics, Electronic Learning, Fatigue (Biology)
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
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
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)
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
Yuxia Ma – European Journal of Education, 2025
The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners are willing to adopt the technology. This study, grounded in the Theory of Planned Behaviour (TPB), investigated the factors influencing the behavioural intention to…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
Danning Sun; Zihan Chen; Shanhua Zhu – Journal of Psycholinguistic Research, 2025
This study examines the referential context effect on second-language relative clause ambiguity resolution by proficient L1 Chinese learners who learn English as a foreign language (EFL) and investigates whether the ambiguity resolution process is constrained by individuals' working memory capacity (WMC). It presents a self-paced reading study and…
Descriptors: Short Term Memory, Context Effect, Ambiguity (Semantics), Form Classes (Languages)
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