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Pilar Ordóñez--López – Interpreter and Translator Trainer, 2025
The impact of attitudes on the learning process and on the academic results achieved by students has been the object of numerous studies, which have shown a connection between attitudes and learning. Similarly, the impact of students' attitudes towards learning a foreign language (mainly English) has been explored from a wide range of…
Descriptors: Translation, Student Attitudes, Second Language Instruction, Second Language Learning
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
Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
Mohammad Islam Biswas; Md. Shamim Talukder; Yasheng Chen – International Journal of Educational Management, 2025
Purpose: The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research interest. This study investigates the factors influencing the intention, usage and recommendation of ChatGPT among university students by employing the…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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
Ursula Holzmann; Sulekha Anand; Alexander Y. Payumo – Advances in Physiology Education, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Thinking Skills
Brendan Bartanen; Andrew Kwok; Andrew Avitabile; Brian Heseung Kim – Educational Researcher, 2025
Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…
Descriptors: Career Choice, Teaching (Occupation), Preservice Teachers, Student Attitudes
Huang, Wanting; Wong, Lena L. N.; Chen, Fei; Liu, Haihong; Liang, Wei – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Fundamental frequency (F0) is the primary acoustic cue for lexical tone perception in tonal languages but is processed in a limited way in cochlear implant (CI) systems. The aim of this study was to evaluate the importance of F0 contours in sentence recognition in Mandarin-speaking children with CIs and find out whether it is similar…
Descriptors: Foreign Countries, Mandarin Chinese, Assistive Technology, Sentences
Antovich, Dylan M.; Graf Estes, Katharine – Developmental Science, 2020
Bilingual infants must navigate the similarities and differences between their languages to achieve native proficiency in childhood. Bilinguals learning to find individual words in fluent speech face the possibility of conflicting cues to word boundaries across their languages. Despite this challenge, bilingual infants typically begin to segment…
Descriptors: Bilingualism, Infants, Language Acquisition, Statistics
Ingram, Joanne; Hand, Christopher J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
The influence of domain knowledge on reading behavior has received limited investigation compared to the influence of, for example, context and/or word frequency. The current study tested participants with and without domain knowledge of the "Harry Potter" (HP) universe. Fans and non-fans read sentences containing HP, high-frequency…
Descriptors: Reading Processes, Knowledge Level, Fiction, Word Frequency
Yoshihara, Masahiro; Nakayama, Mariko; Verdonschot, Rinus G.; Hino, Yasushi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
In a masked priming word-naming task, a facilitation due to the initial-segmental sound overlap for 2-character kanji prime-target pairs was affected by certain orthographic properties (Yoshihara, Nakayama, Verdonschot, & Hino, 2017). That is, the facilitation that was due to the initial mora overlap occurred only when the mora was the whole…
Descriptors: Speech, Naming, Priming, Phonology
Schneider, Cosima; Bade, Nadine; Janczyk, Markus – Journal of Psycholinguistic Research, 2020
Informally speaking, presuppositions are meaning components which are part of the common ground for speakers in a conversation, that is, background information which is taken for granted by interlocutors. The current literature suggests an immediate processing of presuppositions, starting directly on the word triggering the presupposition. In the…
Descriptors: Language Processing, Task Analysis, Psycholinguistics, Knowledge Level
Lakusta, Laura; Brucato, Maria; Landau, Barbara – Language Learning and Development, 2020
Configurations of support include those that exhibit Support-From-Below (cup "on" table), as well as those involving Mechanical Support (e.g., stamp "on" envelope, coat "on" hook). Mature language users show a "division of labor" in the encoding of support, frequently using basic locative expressions (BE…
Descriptors: Language Acquisition, Young Children, Language Processing, Verbs
Auclair-Ouellet, Noémie; Fossard, Marion; Macoir, Joël; Laforce, Robert – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Better performance for actions compared to objects has been reported in the semantic variant of primary progressive aphasia (svPPA). This study investigated the influence of the assessment task (naming, semantic picture matching) over the dissociation between objects and actions. Method: Ten individuals with svPPA and 17 matched controls…
Descriptors: Semantics, Language Processing, Aphasia, Task Analysis
Wan, Qian; Crossley, Scott; Allen, Laura; McNamara, Danielle – Grantee Submission, 2020
In this paper, we extracted content-based and structure-based features of text to predict human annotations for claims and nonclaims in argumentative essays. We compared Logistic Regression, Bernoulli Naive Bayes, Gaussian Naive Bayes, Linear Support Vector Classification, Random Forest, and Neural Networks to train classification models. Random…
Descriptors: Persuasive Discourse, Essays, Writing Evaluation, Natural Language Processing