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Showing 1 to 15 of 26 results Save | Export
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Marie Sophie Hunze; Franziska Freudenberger; Yvonne Gerigk; Peter Ohler; Gerhild Nieding – Journal of Children and Media, 2025
Evidence shows that the first component of media literacy to develop in children is media sign literacy (MSL), an ability that focuses on the understanding and correct use of the signs and symbol systems that organize different media. Previous research has shown that MSL is a significant predictor of learning from media. In this study, we…
Descriptors: Educational Media, Preschool Children, Films, Audio Books
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Steven K. Kapp; Juliette Gudknecht – Infant and Child Development, 2025
This narrative review analyzes the visual and auditory advantages that autistic people with speech divergence (A-SD) may have compared with autistic people without speech divergence (A-NoSD) or non-autistic people. Importantly, A-SDs' intelligence and communication skills are often underestimated in research and practice. Further, this paper…
Descriptors: Autism Spectrum Disorders, Speech Impairments, Intelligence, Communication Skills
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Shih-Chieh Lee; Chien-Yu Huang; I-Ning Fu; Kuan-Lin Chen – Autism: The International Journal of Research and Practice, 2024
Multidimensional theory of mind assessments should include items assessing both explicit theory of mind (theory of mind knowledge) and applied theory of mind (application of theory of mind knowledge in real-life contexts). However, the two theory of mind scores cannot be interpreted collectively to identify children having mismatched explicit and…
Descriptors: Foreign Countries, Theory of Mind, Cognitive Development, Intelligence Tests
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JiYeon Hong; Kwihoon Kim – Education and Information Technologies, 2025
The advent of the 4th Industrial Revolution era requires the creation of new value through convergence rather than piecemeal use of technology. In that sense, the convergence of AI's learning ability and IoT connectivity makes it possible to build a more intelligent and automated system. Therefore, AI education in preparation for the era of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Internet, Digital Literacy
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Taylor Lesner; Ben Clarke; Derek Kosty; Geovanna Rodriguez; Elizabeth L. Budd; Christian Doabler – Grantee Submission, 2025
This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…
Descriptors: Mathematics Instruction, Response to Intervention, At Risk Students, Kindergarten
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Misja Eiberg; Christoffer Scavenius – European Journal of Psychology of Education, 2024
Children in out-of-home care persistently show poorer educational and developmental outcomes than their peers. This study investigates the effect of the comprehensive educational intervention, "LUKoP," in a randomized controlled trial, compared to treatment-as-usual (TAU). Outcome measures included reading and math abilities, IQ and…
Descriptors: Intervention, Foster Care, Children, Early Adolescents
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Aisha Naz Ansari; Sohail Ahmad; Sadia Muzaffar Bhutta – Education and Information Technologies, 2024
The recent development of AI Chatbot -- specifically ChatGPT -- has gained dramatic attention from users as evident by ongoing discussion among the education fraternity. We argue that prior to making any conclusion, it is important to understand how ChatGPT is being used in higher education across the globe. This paper makes a significant…
Descriptors: Artificial Intelligence, Higher Education, Educational Technology, Technology Uses in Education
Jacqueline Diaz-Mewes – ProQuest LLC, 2024
The purpose of this mixed-methods case study was to understand how current and former early childhood and elementary school teachers and administrators at a multiple intelligence (MI) school in St. Louis, Missouri, viewed the feasibility and impact of applying MI theory in lesson planning and their perceptions of the assistance of educational…
Descriptors: Early Childhood Education, Early Childhood Teachers, Elementary School Teachers, Teacher Attitudes
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Alexander Skulmowski – Mind, Brain, and Education, 2025
Generative artificial intelligence (AI) has become a major research trend in the fields of education and psychology. However, several risks posed by this technology concerning the cognitive and socio-emotional development of children and adolescents have been identified. While it would be highly useful to have a clear understanding of these…
Descriptors: Artificial Intelligence, Educational Research, Informed Consent, Risk
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Katy L. Unwin; Georgina Powell; Alice Price; Catherine R. G. Jones – Autism: The International Journal of Research and Practice, 2024
Multi-sensory environments are widely used with autistic children. However, there are no data on how autistic children choose to spend time in the room and how this relates to their sensory, behavioural and intellectual profiles. We observed the frequency and duration of visits to multi-sensory environment equipment of 41 autistic children during…
Descriptors: Assistive Technology, Educational Equipment, Autism Spectrum Disorders, Students with Disabilities
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Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
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Cécile Barbachoux – International Journal of Education in Mathematics, Science and Technology, 2025
In an era of constant digital distractions, maintaining attention is a growing challenge for young students. This paper explores how STEM education and AI-driven learning tools can enhance attention skills by fostering problem-solving, analytical thinking, and cognitive endurance. STEM disciplines require sustained focus, while AI-powered adaptive…
Descriptors: STEM Education, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Ying Li; Talia Q. Halleck; Laura Evans; Paras Bhagwat Bassuk; Leiana Paz; Ö. Ece Demir-Lira – Developmental Science, 2024
In this study, we aimed to determine the role of parental praise and child affect in the neural processes underlying parent-child interactions, utilizing functional near-infrared spectroscopy (fNIRS) hyperscanning. We characterized the dynamic changes in interpersonal neural synchrony (INS) between parents and children (4-6 years old, n = 40…
Descriptors: Parent Child Relationship, Psychological Patterns, Affective Behavior, Child Behavior
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Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Kerry Freedman – Teachers College Press, 2025
"Teaching Visual Culture" provides the theoretical and practical basis for developing a curriculum that lays the groundwork for art education at all levels (K-12 and higher education) and across school subjects. Drawing on material, social, cognitive, aesthetic, and curricular theories, Freedman offers a framework for teaching the visual…
Descriptors: Art Education, Aesthetics, Cultural Enrichment, Curriculum Development
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