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Elodie Sabatier; Jacqueline Leybaert; Fabienne Chetail – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Children are assumed to acquire orthographic representations during autonomous reading by decoding new written words. The present study investigates how deaf and hard of hearing (DHH) children build new orthographic representations compared to typically hearing (TH) children. Method: Twenty-nine DHH children, from 7.8 to 13.5 years old,…
Descriptors: French, Deafness, Hearing Impairments, Orthographic Symbols
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Minjin Kim; Xiaofei Lu – Modern Language Journal, 2024
The effects of learner- and task-related variables on second language (L2) writing syntactic complexity (SC) have been extensively investigated. However, previous research has rarely assessed the reliability of computational tools for analyzing the SC of L2 spoken production, and we know less about the effects of such variables on L2 speaking SC.…
Descriptors: Speech Communication, Syntax, English (Second Language), Second Language Learning
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Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
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Wenwei Luo; Huihua He; Jin Liu; Ilene R. Berson; Michael J. Berson; Yisu Zhou; Hui Li – Early Education and Development, 2024
"Research Findings": This study aims to explore the optimal roles, pressing challenges, and future developments of ChatGPT in early childhood education (ECE) by interviewing six expert professors from China and the United States. A content analysis approach that combined inductive and deductive coding was employed to analyze the…
Descriptors: Early Childhood Education, Technology Uses in Education, Artificial Intelligence, Educational Technology
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Xueyan Li; Jiaxi Li; Sijia Zhao; Yini Liao; Liqi Zhu; Yi Mou – Autism: The International Journal of Research and Practice, 2024
The mathematical abilities of children with autism spectrum condition have been understudied. Magnitude representation is a fundamental numerical ability that emerges early in development and is linked to children's learning of formal mathematics. It remains unclear about whether children with autism spectrum condition differ from their peers…
Descriptors: Preschool Children, Autism Spectrum Disorders, Mathematics Skills, Number Concepts
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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
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Mandy R. Menke – Foreign Language Annals, 2024
Language immersion programs seek to develop multilingual, multiliterate individuals able to engage with academic content. Studies of immersion students' language development provide details regarding language proficiency and accuracy, yet they generally do not address how features of written, academic language, for example, syntactic and lexical…
Descriptors: Spanish, Immersion Programs, Second Language Instruction, Second Language Learning
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Jinglei Ren; Min Wang – Reading and Writing: An Interdisciplinary Journal, 2024
Derivational suffixes are known to play a crucial role in assigning stress to multi-syllabic words among native English speakers. However, it is unclear whether second language (L2) learners of English can effectively use derivational suffixes as stress cues in written words. To address this gap, we studied if native Chinese-speaking adults…
Descriptors: Morphemes, Second Language Learning, Second Language Instruction, English (Second Language)
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Atilla Ergin; Yelkin Diker Coskun – International Journal on Social and Education Sciences, 2024
This study aims to develop a scale to measure the design thinking process and to evaluate the reliability and validity of this scale. It fills this gap by introducing a 36-item scale specifically designed to measure design thinking abilities across the five key stages of the design thinking process: empathize, define, ideate, prototype, and test,…
Descriptors: Design, Thinking Skills, Likert Scales, Empathy
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Engin Yilmaz; Macid Ayhan Melekoglu – Reading & Writing Quarterly, 2024
This study aimed to evaluate the efficacy of the Repeated Reading and Visual Comprehension Program (TOGAP) developed to support the reading comprehension skills of primary school students with specific learning disabilities (SLD) in the 2nd, 3rd, and 4th grades. The research was conducted with four primary school students with SLD. The changing…
Descriptors: Elementary School Students, Students with Disabilities, Learning Disabilities, Program Effectiveness
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Talita Fortunato-Tavares; Debora Befi-Lopes; John Orazem; Aparecido Soares – Language Acquisition: A Journal of Developmental Linguistics, 2024
Children with Developmental Language Disorder (DLD) show a wide range of impairments, including poor pre-reading skills and decoding difficulties due to phonological deficits and such difficulties have significant repercussions on the acquisition of written language. However, evidence about reading processes and development is mainly available for…
Descriptors: Reading Skills, Foreign Countries, Language Impairments, Developmental Disabilities
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Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
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Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
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Smail Layes; Sana Tibi; Marjolaine Cohen; Linda Lombardino – Learning Disability Quarterly, 2024
This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…
Descriptors: Naming, Reading Skills, Arabic, Grade 3
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Erin West; Shani Dettman – Language, Speech, and Hearing Services in Schools, 2024
Purpose: There are well-established guidelines for the recording, transcription, and analysis of spontaneous oral language samples by researchers, educators, and speech pathologists. In contrast, there is presently no consensus regarding methods for the written documentation of sign language samples. The Handshape Analysis Recording Tool (HART) is…
Descriptors: Documentation, Sign Language, Bilingual Education, Biculturalism
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