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Wu Xu; Zhang Wei; Peng Yan – European Journal of Education, 2025
This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…
Descriptors: Artificial Intelligence, Natural Language Processing, Engineering Education, Majors (Students)
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)
Nur Basak Karatas; Oya Özemir; Jarrett T. Lovelett; Bora Demir; Kemal Erkol; João Veríssimo; Gülcan Erçetin; Michael T. Ullman – Language Teaching Research, 2025
We investigated whether learning and retaining vocabulary in a second language (L2) can be improved by leveraging a combination of memory enhancement techniques. Specifically, we tested whether combining retrieval practice, spacing, and related manipulations in a 'multidomain' pedagogical approach enhances vocabulary acquisition as compared to a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Accuracy
Yi-Ching Su – Language Learning and Development, 2024
It has been reported for decades that preschool children (age 4-7) tend to assign non-adult-like interpretations for sentences with pre-subject exclusive only. This study reports findings from two experiments investigating (1) the effects of (in)congruent implicit questions in discourse contexts and (2) word order transformation on children's…
Descriptors: Preschool Children, Language Processing, Adults, Language Patterns
Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Hsu, Hao-Hsuan; Huang, Nen-Fu – IEEE Transactions on Learning Technologies, 2022
This article introduces Xiao-Shih, the first intelligent question answering bot on Chinese-based massive open online courses (MOOCs). Question answering is critical for solving individual problems. However, instructors on MOOCs must respond to many questions, and learners must wait a long time for answers. To address this issue, Xiao-Shih…
Descriptors: Foreign Countries, Artificial Intelligence, Online Courses, Natural Language Processing
Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
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
Song Yi Kim; Jeong-Im Han – Second Language Research, 2024
Korean learners of English are known to repair consonant clusters, which are not allowed in their native language, with an epenthetic vowel [close central unrounded vowel]. The purpose of the present study is to examine whether the perception-production link of such an illusory vowel in a second language (L2) is only within and not across…
Descriptors: Correlation, Vowels, Pronunciation, English (Second Language)
Horchak, Oleksandr V.; Garrido, Margarida Vaz – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Previous research showed that verifying a pictured object mentioned in a preceding sentence takes less time when the pictured object shape is compatible with the described object location or spatial position. In the current work we asked if nonvisual information is integrated into the mental model when the target object shape is implied by virtue…
Descriptors: Sentences, Language Processing, Schemata (Cognition), Reaction Time
Halamish, Vered; Undorf, Monika – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Research has observed that monitoring one's own learning modifies memory for some materials but not for others. Specifically, making judgments of learning (JOLs) while learning word pairs improves subsequent cued-recall memory performance for related word pairs but not for unrelated word pairs. Theories that have attempted to explain this pattern…
Descriptors: Decision Making, Memory, Task Analysis, Recall (Psychology)
Xuefan Li; Tingsong Li; Minjuan Wang; Sining Tao; Xiaoxu Zhou; Xiaoqing Wei; Naiqing Guan – IEEE Transactions on Learning Technologies, 2025
With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically…
Descriptors: Artificial Intelligence, Technology Uses in Education, High School Students, Foreign Countries
Hieu Hoang Nguyen; Na Le Pham; Trang Thu Nguyen; Chau Minh Mai – Educational Process: International Journal, 2025
Background/purpose: The introduction of ChatGPT has rapidly transformed various aspects of life. It has raised concerns about its impact on current jobs, especially in education. The study aims to examine the factors that may influence university lecturers' intention to adopt ChatGPT in their work. Materials/methods: This study uses the Unified…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Davies, Benjamin; Rattanasone, Nan Xu; Davis, Aleisha; Demuth, Katherine – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The plural is one of the first grammatical morphemes acquired by English-speaking children with normal hearing (NH). Yet, those with hearing loss show delays in both plural comprehension and production. However, little is known about the effects of unilateral hearing loss (UHL) on children's acquisition of the plural, where children's…
Descriptors: Hearing Impairments, Hearing (Physiology), Preschool Children, Auditory Perception
Lee, On-Soon – Journal of Psycholinguistic Research, 2023
This study investigates whether statistical learning ability, conceptualized as a cognitive ability to learn regularities implicitly, is a good predictor for L2 learners' online language processing performance. Native-English-speaking adults, as a control group, and native-Korean-speaking adult L2 learners of English participated. They completed:…
Descriptors: Statistics, Second Language Learning, English (Second Language), Sentences