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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)
Lawrence Ibeh; Noah Cheruiyot Mutai; Olufunke Mercy Popoola; Nguyen Manh Cuong; Sandra Ejiofor – Research in Learning Technology, 2025
For this study, 350 university students in Germany were surveyed to understand how they perceive ChatGPT's educational advantages and challenges. Using a combination of quantitative and qualitative methods, it found out that students tend to see ChatGPT as helpful for academic performance (53.14%), writing (47.14%), and exam preparation (50.00%).…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, 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)
Arzu Atasoy; Saieed Moslemi Nezhad Arani – Education and Information Technologies, 2025
There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…
Descriptors: Writing (Composition), Writing Evaluation, Student Evaluation, Artificial Intelligence
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
Neil E. J. A. Bowen; Richard Watson Todd – Teaching English with Technology, 2025
An increasing number of studies have investigated how ChatGPT can aid in written assessment and feedback provision. However, many studies overlook its conversational design and underlying architecture, raising concerns about the reliability and validity of their analytical outputs. Therefore, applying first principles thinking to prompt use, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Cues
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
Hung Thanh Nguyen; Phuoc Tai Nguyen – Educational Process: International Journal, 2025
Background/purpose: Artificial intelligence, namely ChatGPT, has garnered significant interest in language education due to its potential to enhance instruction and learning. Three primary topics are highlighted in this study's analysis of recent research on ChatGPT's use in language instruction: Reflection on instruction, instructor feedback, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Teachers
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
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
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
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)

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