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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
Saxena, Anika; Lo, Chung Kwan; Hew, Khe Foon; Wong, Gary Ka Wai – Asia-Pacific Education Researcher, 2020
Educators and policy makers have increasingly recognized the importance of computational thinking (CT). Despite the growing body of CT literature, how to cultivate CT is still underexplored and undertheorized in early childhood education. Informed by Piaget's Theory of Cognitive Development, this exploratory study was conducted with a focus on…
Descriptors: Thinking Skills, Computation, Learning Activities, Early Childhood Education
Pasnak, Robert – Grantee Submission, 2017
Young children have been taught simple sequences of alternating shapes and colors, referred to as "patterning", for the past half century in the hope that their understanding of pre-algebra and their mathematics achievement would be improved. The evidence that such patterning instruction actually improves children's academic achievement…
Descriptors: Pattern Recognition, Mathematics Achievement, Reading Achievement, Abstract Reasoning
Lee, Kerry; Ng, Swee Fong; Pe, Madeline Lee; Ang, Su Yin; Hasshim, Muhammad Nabil Azhar Mohd; Bull, Rebecca – British Journal of Educational Psychology, 2012
Background: Exposure to mathematical pattern tasks is often deemed important for developing children's algebraic thinking skills. Yet, there is a dearth of evidence on the cognitive underpinnings of pattern tasks and how early competencies on these tasks are related to later development. Aims: We examined the domain-specific and domain-general…
Descriptors: Evidence, Structural Equation Models, Standardized Tests, Numeracy

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