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Tina Jaber Rafidi; Nabiha El Khatib – Discover Education, 2025
As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…
Descriptors: Cross Cultural Studies, Artificial Intelligence, Technology Integration, Teaching Methods
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Melissa J. Haithcox-Dennis; Reeshemah Johnson – Journal of Research Initiatives, 2025
This article examines how health education teacher preparation programs can prepare future educators to use artificial intelligence (AI) in responsible and effective ways. It begins with a brief overview of the use of AI in education, considering the growing impact of generative AI technologies on teaching and learning. The article outlines…
Descriptors: Health Education, Artificial Intelligence, Educational Technology, Ethics
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Mercedes I. Rueda-Sánchez; Lydia García-Gómez; Luis González-Fernández – Educational Psychology, 2025
This research explores the direct and indirect effects of vocabulary, word reading and metalinguistic competence on reading comprehension in Spanish primary school students, considering non-verbal intelligence. A Multiple Indicator Multiple Causal Model (MIMIC) is analysed to explore the direct and indirect effects of the variables on reading…
Descriptors: Metalinguistics, Vocabulary, Reading Comprehension, Grade 3
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Iria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
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Jinzhu Zhao; Lina Tang; Jinhui Li; Tianyi He; Tingting Xiong; Lu Xu; Xuejin He; Shan Huang; Xueman Lucy Liu; Yan Hao – International Journal of Language & Communication Disorders, 2025
Background: Standardised Mandarin assessment tools for examining difficulties in language comprehension and expression at different developmental stages are limited in China. The first comprehensive standardised Mandarin assessment tool is the Diagnostic Receptive and Expressive Assessment of Mandarin-Comprehensive (DREAM-C), which is normed for…
Descriptors: Accuracy, Receptive Language, Expressive Language, Mandarin Chinese
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Isaac Nyarko Kwakye; Kofi Abram Panyin Kwakye; Daniel Adom-Fynn; Franklin Elorm Mensah; Samuel Dwamena Agyei – Discover Education, 2025
Background: Despite the growing adoption of AI tools, few empirical studies have comprehensively examined students' familiarity, perceived benefits and challenges, and demographic factors such as gender, age, and academic level. This study aims to explore the familiarity, usage, perceived benefits and challenges, and how demographic factors…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Foreign Countries
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Alexis Clyde; Danna Bismar; Gabrielle Agnew; Laura E. Kuper – Journal of Autism and Developmental Disorders, 2024
Autism spectrum disorder (ASD) and ASD symptoms are overrepresented among gender-diverse youth across studies. Gender-diverse and ASD youth are at risk for anxiety, but anxiety is unclear among gender-diverse youth with ASD. The Social Communication Questionnaire (SCQ) is a commonly used ASD screener, including in multidisciplinary…
Descriptors: Autism Spectrum Disorders, Identification, Accuracy, Interpersonal Competence
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Sümeyra Tosun – Cognitive Research: Principles and Implications, 2024
Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…
Descriptors: Bilingualism, Turkish, English (Second Language), Second Language Learning
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Yves Karlen; Kerstin Bäuerlein; Sabrina Brunner – Social Psychology of Education: An International Journal, 2024
Self-regulated learning (SRL) is crucial for successful lifelong learning and an important educational goal. For students to develop SRL skills, they need appropriate SRL support from teachers in the classroom. Teachers, who are aware of their students' strengths and weaknesses in SRL, can promote SRL more adaptively. This requires teachers to…
Descriptors: Independent Study, Lifelong Learning, Competence, Evaluative Thinking
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Brian Weiler; Ling-Yu Guo – Language, Speech, and Hearing Services in Schools, 2024
Purpose: The finite verb morphology composite (FVMC) is a valid measure for charting children's tense development and for differentiating children with and without language impairment during preschool and early elementary years. However, it is unclear whether FVMC scores vary as a function of language sample elicitation contexts. The current study…
Descriptors: Verbs, Preschool Children, Morphology (Languages), Accuracy
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N. Tayyibe Ate; Nurcan Tekin – International Journal of Assessment Tools in Education, 2024
The proliferation of digital information technologies has underscored the heightened necessity for online information search. This study is directed towards the analysis of the strategies adopted by prospective teachers in the selection of digital content employed for accessing information, their preferences concerning the use of digital and…
Descriptors: Preservice Teachers, Access to Information, Online Searching, Digital Literacy
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Dongho Shin – Grantee Submission, 2024
We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…
Descriptors: Bayesian Statistics, Computation, Hierarchical Linear Modeling, Data Analysis
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Adam Rajcan; Edgar A. Burns – Australian Universities' Review, 2024
As part of a study investigating research productivity of sociology PhD students in Australia, an application to the federal government's Department of Education, Skills and Employment (DESE) aimed to establish a baseline count of completed sociology doctorates by university. It was anticipated that university totals might be different from PhD…
Descriptors: Foreign Countries, Sociology, Doctoral Students, Graduation Rate
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Maria I. Grigos; Julie Case; Ying Lu; Zhuojun Lyu – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Speech motor skill is refined over the course of practice, which is commonly reflected by increased accuracy and consistency. This research examined the relationship between auditory-perceptual ratings of word accuracy and measures of speech motor timing and variability at pre- and posttreatment in children with childhood apraxia of…
Descriptors: Cues, Speech Impairments, Perceptual Motor Learning, Psychomotor Skills
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Thomas Gauduel; Camille Blondet; Sibylle Gonzalez-Monge; James Bonaiuto; Alice Gomez – Developmental Science, 2024
Developmental coordination disorder (DCD) impacts the quality of life and ability to perform coordinated actions in 5% of school-aged children. The quality of body representations of individuals with DCD has been questioned, but never assessed. We hypothesize that children with DCD have imprecise body representations in the sensory and motor…
Descriptors: Motor Development, Psychomotor Skills, Perceptual Motor Learning, Developmental Delays
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