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Guoyan Feng; Linling Shen; Liping Shi; Xiaohui Yan; Yuqiong Liang; Lili Zhang; Shuyi Zuo; Yu Wu; Fan Cao – Developmental Science, 2025
Most behavioral interventions on reading disability (RD) have been developed in alphabetic languages and are phonologically-based. Chinese is a morpho-syllabic language in which each character represents a morpheme and a syllable. Therefore, phonologically-based interventions may not be most helpful in Chinese. In this study, we compared a…
Descriptors: Foreign Countries, Intervention, Phonological Awareness, Morphology (Languages)
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Yuan Peng; Yuan Liang; Yali Wang; Guangyan Yang – Early Education and Development, 2025
Research Findings: The present study aimed to investigate whether the trial-to-trial intraindividual reaction time variability (IIV), which reflects prefrontal cortex activity related to attentional and cognitive control, mediated the longitudinal effects of earlier harsh discipline on children's later externalizing problems. The study involved…
Descriptors: Foreign Countries, Elementary School Students, Early Experience, Trauma
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Gursen Sisman; Dilara Demirbulak; Ayse Yilmaz Virlan – European Journal of Education, 2025
This descriptive study aimed to investigate neuromyth prevalence among English language teachers. Data were collected through a digital questionnaire administered to 114 English teachers in Istanbul, Turkey, with the mediation of the Ministry of National Education (MoNE). Most participants were female secondary school teachers working at public…
Descriptors: Incidence, Misconceptions, Neurosciences, Brain
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Bernis Sütçübasi; Tugçe Balli; Herbert Roeyers; Jan R. Wiersema; Sami Çamkerten; Ozan Cem Öztürk; Baris Metin; Edmund Sonuga-Barke – Journal of Attention Disorders, 2025
Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…
Descriptors: Elementary School Students, Secondary School Students, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders