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Kaiyue Jia; Teresa H. M. Leung; Ngai Yan Irene Cheung; Yixun Li; Junnan Yu – ACM Transactions on Computing Education, 2025
The increasing prevalence of AI in everyday life has intensified the emphasis on teaching AI literacy to children. However, there is no consensus on the specific knowledge and skills that constitute children's AI literacy, resulting in varied AI learning materials for young people. We systematically searched for educational practices for…
Descriptors: Computer Science Education, Digital Literacy, Artificial Intelligence, Children
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Rennie, Joseph P.; Zhang, Mengya; Hawkins, Erin; Bathelt, Joe; Astle, Duncan E. – Developmental Science, 2020
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)--a type of simple artificial neural network--to represent multivariate cognitive training data, and then tested whether the way tasks are…
Descriptors: Short Term Memory, Teaching Methods, Artificial Intelligence, Cognitive Development
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Guan-Yu Lin; Ciao-Chun Jhang; Yi-Shun Wang – Education and Information Technologies, 2024
The use of AI-based social robots has been shown to be beneficial for learning English as a Second Language (ESL). Not much is known, however, about the drivers of parental intention to use those robots in support of their children's ESL learning. This study aims to explore the factors that drive parental intention to adopt AI-based social robots…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Danielle Mattson; Kathryn Kryska; Jacqueline Pei; Claire Coles; Julie Kable; Molly Millians; Gail Andrew; Damien Cormier; Carmen Rasmussen – Canadian Journal of School Psychology, 2024
Math development in children relies on several underlying cognitive functions, including executive functions (EF), working memory (WM), and visual-motor abilities, such as visual-motor integration (VMI). Understanding how these cognitive factors contribute to children's math performance is critical to supporting math learning and long-term math…
Descriptors: Mathematical Aptitude, Children, Neurodevelopmental Disorders, Cognitive Processes
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Melody García-Moya; Rocío Blanco – Education and Training in Autism and Developmental Disabilities, 2024
Mathematical problem-solving is a core content of primary school education. Therefore, it is necessary to provide all students with a meaningful way of acquisition of problem-solving skills. The objective of this research was to verify the effectiveness of a problem-solving routine based on the Pólya's model and the use of cognitive strategies…
Descriptors: Arithmetic, Problem Solving, Elementary School Students, Autism Spectrum Disorders
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Clark McKown; Nicole Russo-Ponsaran; Matthew Wronski; Ashley Karls – Grantee Submission, 2025
This study describes the rationale, design, development, and technical properties of SELweb MS, a direct assessment of social and emotional competencies in middle school students. Assessment and item design were iteratively developed with input from youth and experts to measure five domains: Self-Awareness, Self-Management, Social Awareness,…
Descriptors: Psychometrics, Social Emotional Learning, Middle School Students, Correlation
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Johnston, Peter; Scanlon, Donna – Literacy Research: Theory, Method, and Practice, 2021
Some children experience more difficulty than others becoming literate, often at great emotional, intellectual, social, and economic cost to themselves, but also to those who love and care for them, and for society at large. The causes of those difficulties and what to do about them have been the source of much research and sometimes heated…
Descriptors: Dyslexia, Reading Difficulties, Definitions, Reading Instruction
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Thenmozhi, C. – Shanlax International Journal of Education, 2019
Thinking is a common process. Cognitive ability includes knowledge, memory and metacognition. Knowledge requires memory. These two are inextricably linked. Parents and teachers need to encourage children to take an active role in their learning and show them how to use what they know to the best advantage. Cognition is primarily a mental process.…
Descriptors: Metacognition, Cognitive Ability, Knowledge Level, Memory
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Juho Kahila; Henriikka Vartiainen; Matti Tedre; Eetu Arkko; Anssi Lin; Nicolas Pope; Ilkka Jormanainen; Teemu Valtonen – Informatics in Education, 2024
The integration of artificial intelligence (AI) topics into K-12 school curricula is a relatively new but crucial challenge faced by education systems worldwide. Attempts to address this challenge are hindered by a serious lack of curriculum materials and tools to aid teachers in teaching AI. This article introduces the theoretical foundations and…
Descriptors: Personal Autonomy, Data, Children, Creativity
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Church, Jessica A.; Grigorenko, Elena L.; Fletcher, Jack M. – Reading Research Quarterly, 2023
To learn to read, the brain must repurpose neural systems for oral language and visual processing to mediate written language. We begin with a description of computational models for how alphabetic written language is processed. Next, we explain the roles of a dorsal sublexical system in the brain that relates print and speech, a ventral lexical…
Descriptors: Genetics, Brain Hemisphere Functions, Reading Processes, Oral Language
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Yannier, Nesra; Hudson, Scott E.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2020
Along with substantial consensus around the power of active learning, comes some lack of precision in what its essential ingredients are. New educational technologies offer vehicles for systematically exploring benefits of alternative techniques for supporting active learning. We introduce a new genre of Intelligent Science Station technology that…
Descriptors: Active Learning, Artificial Intelligence, STEM Education, Educational Technology
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Torkildsen, Janne von Koss; Bratlie, Siri Steffensen; Kristensen, Jarl Kleppe; Gustafsson, Jan-Eric; Lyster, Solveig-Alma Halaas; Snow, Catherine; Hulme, Charles; Mononen, Riikka-Maija; Naess, Kari-Anne B.; López-Pedersen, Anita; Wie, Ona Bø; Hagtvet, Bente – Journal of Educational Psychology, 2022
Morphemes, the smallest meaning-bearing units of language, recur in many words. Therefore, morphological knowledge can facilitate the comprehension of novel words. This study tested the effectiveness of a morphological training program on children's learning and retention of exposed words and morphologically related unexposed words compared with…
Descriptors: Morphemes, Morphology (Languages), Language Processing, Teaching Methods
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Bianchini, Paolo – Paedagogica Historica: International Journal of the History of Education, 2019
In the late nineteenth and early twentieth century, a number of Italian psychiatrists were convinced that medicine and education should work together to treat children with mental disabilities, then commonly defined as "feeble-minded". To this end they promoted the establishment of "Medico-Pedagogical Institutes", institutes,…
Descriptors: Psychiatry, Foreign Countries, Educational History, Psychiatric Hospitals
Stichter, Janine P; Malugen, Emily; Herzog, Melissa; O'Donnell, Rose; Kilgus, S; Schoemann, Alexander M. – Grantee Submission, 2018
Many populations served by special education, including those identified with autism, emotional impairments, or students identified as not ready to learn, experience social competence deficits. The Social Competence Intervention-Adolescents' (SCI-A) methods, content, and materials were designed to be maximally pertinent and applicable to the…
Descriptors: Interpersonal Competence, Intervention, Randomized Controlled Trials, Program Effectiveness
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Peters, Sabine; Van der Meulen, Mara; Zanolie, Kiki; Crone, Eveline A. – Developmental Psychology, 2017
Although many studies use feedback learning paradigms to study the process of learning in laboratory settings, little is known about their relevance for real-world learning settings such as school. In a large developmental sample (N = 228, 8-25 years), we investigated whether performance and neural activity during a feedback learning task…
Descriptors: Feedback (Response), Reading Achievement, Mathematics Achievement, Brain Hemisphere Functions
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