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Linyu Zhang; Nor Shahila Mansor; Akmar Hayati Ahmad Ghazali; Mengduan Li – Eurasian Journal of Applied Linguistics, 2024
In the field of translation studies, while re-narration is commonly observed in translated works, there is a noticeable lack of research focusing on re-narration specifically within wenyan translations. Addressing this gap, this study aims to investigate how re-narration occurs in wenyan translation through the framing strategies employed by…
Descriptors: Translation, Chinese, Language Research, Language Processing
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Hinano Iida; Kimi Akita – Cognitive Science, 2024
Iconicity is a relationship of resemblance between the form and meaning of a sign. Compelling evidence from diverse areas of the cognitive sciences suggests that iconicity plays a pivotal role in the processing, memory, learning, and evolution of both spoken and signed language, indicating that iconicity is a general property of language. However,…
Descriptors: Japanese, Cognitive Science, Language Processing, Memory
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Clinton Chidiebere Anyanwu; Pauline Ndidi Ononiwu; Grace Ngozi Isiozor – Education and Information Technologies, 2024
In contemporary society, information and communication technology permeates every aspect of human life, including education. This study investigates the impact of WhatsApp chatbot technology and Glaser's teaching approaches on the academic performance of economics education students in tertiary institutions. Grounded in activity theory, the study…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Teaching Methods
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Fábio Albuquerque; Paula Gomes Dos Santos – Cogent Education, 2024
Using a quasi-experimental method and content analysis as a technique, this study tests ChatGPT, in its version 4, by assessing its textual characteristics and overall understanding regarding the recognition criteria of provisions under International Accounting Standards (IAS) 37, as issued by the International Accounting Standards Board (IASB).…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Accounting
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Jeya Amantha Kumar; Min Zhuang; Stephen Thomas – Natural Sciences Education, 2024
Chat Generative Pre-Trained Transformer (ChatGPT) has emerged as a powerful artificial intelligence (AI) tool with an aptitude to transform course design in higher education significantly. While ChatGPT's applications in education are substantially growing, its role in natural sciences, particularly in course planning and content generation among…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Natural Sciences
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Maki Kubota; Jorge González Alonso; Merete Anderssen; Isabel Nadine Jensen; Alicia Luque; Sergio Miguel Pereira Soares; Yanina Prystauka; Øystein A. Vangsnes; Jade Jørgen Sandstedt; Jason Rothman – Language Learning, 2024
The current study investigated gender (control) and number (target) agreement processing in Northern and non-Northern Norwegians living in Northern Norway. Participants varied in exposure to Northern Norwegian (NN) dialect(s), where number marking differs from most other Norwegian dialects. In a comprehension task involving reading NN dialect…
Descriptors: Norwegian, Dialects, Grammar, Language Processing
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David Baidoo-Anu; Daniel Asamoah; Isaac Amoako; Inuusah Mahama – Discover Education, 2024
This study examined the perspectives of Ghanaian higher education students on the use of ChatGPT. The Students' ChatGPT Experiences Scale (SCES) was developed and validated to evaluate students' perspectives of ChatGPT as a learning tool. A total of 277 students from universities and colleges participated in the study. Through exploratory factor…
Descriptors: Student Attitudes, Artificial Intelligence, Higher Education, Foreign Countries
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Du Gan; Kanokporn Numtong; Hao Li; Songyu Jiang – Eurasian Journal of Applied Linguistics, 2024
This study applies the Apriori algorithm to analyse patterns, syntactic structures, and thematic clusters in Chinese studies data from various genres. This study aims to identify recurring linguistic elements in order to shed light on the dynamic nature of the Chinese language across different contexts and time periods. The Apriori algorithm is…
Descriptors: Chinese, Applied Linguistics, Algorithms, Computational Linguistics
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David R. Firth; Mason Derendinger; Jason Triche – Information Systems Education Journal, 2024
In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…
Descriptors: Cheating, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Rajaram, Melissa – Journal of Child Language, 2022
Multisyllabic words constitute a large portion of children's vocabulary. However, the relationship between phonological neighborhood density and English multisyllabic word learning is poorly understood. We examine this link in three, four and six year old children using a corpus-based approach. While we were able to replicate the well-accepted…
Descriptors: Phonology, Language Acquisition, English, Computational Linguistics
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Tang, Ming; Chan, Shui Duen – Journal of Psycholinguistic Research, 2022
This study investigated the effects of semantic transparency of Chinese suon Chinese as a second language (CSL) learners' incidental learning of word meanings in sentence-level reading and passage-level reading. The accuracy of the learners' lexical inferencing was compared among various types of words (transparent, semi-transparent, and opaque…
Descriptors: Second Language Learning, Chinese, Semantics, Incidental Learning
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Edmunds, Sarah R.; Colman, Carly; Vidal, Paige; Faja, Susan – Journal of Autism and Developmental Disorders, 2022
Deficits in working memory have not been fully explored in toddlers and preschoolers with autism spectrum disorder (ASD). We investigated the relationship between language (verbal ability, verbal self-talk) and visuospatial working memory in 2- and 4-year-olds with ASD (n = 65) and typical development (TD) (n = 54). Children with ASD displayed…
Descriptors: Language Processing, Short Term Memory, Neurological Impairments, Toddlers
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Rashid, M. Parvez; Xiao, Yunkai; Gehringer, Edward F. – International Educational Data Mining Society, 2022
Peer assessment can be a more effective pedagogical method when reviewers provide quality feedback. But what makes feedback helpful to reviewees? Other studies have identified quality feedback as focusing on detecting problems, providing suggestions, or pointing out where changes need to be made. However, it is important to seek students'…
Descriptors: Peer Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
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Xie, Cong; Luchini, Simone; Beaty, Roger E.; Du, Ying; Liu, Chunyu; Li, Yadan – Creativity Research Journal, 2022
Evidence from fMRI research indicates that individual creative thinking ability -- defined as performance on divergent thinking tasks, subjectively assessed by human raters -- can be predicted based on the strength of functional connectivity (FC) between the brain's default mode network (DMN) and frontoparietal control network (FPCN). Here, we…
Descriptors: Creativity, Creative Thinking, Natural Language Processing, Spectroscopy
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Fukumura, Kumiko; Carminati, Maria Nella – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Using eye-tracking, we examined whether overspecification hinders or facilitates referent selection and the extent to which this depends on the properties of the attribute mentioned in the referring expressions and the underpinning processing mode. Following spoken instructions, participants selected the referent in a visual display while their…
Descriptors: Eye Movements, Color, Pattern Recognition, Language Processing
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