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Oudeng Jia; Qingsong Tan; Sihan Zhang; Ke Jia; Mengyuan Gong – npj Science of Learning, 2025
Reward-predictive items capture attention even when task-irrelevant. While value-driven attention typically generalizes to stimuli sharing critical reward-associated features (e.g., red), recent evidence suggests an alternative generalization mechanism based on feature relationships (e.g., redder). Here, we investigated whether relational coding…
Descriptors: Attention, Rewards, Interference (Learning), Coding
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Xiaoxue Fu; Emma Platt; Frederick Shic; Jessica Bradshaw – Journal of Autism and Developmental Disorders, 2025
Purpose: The study aimed to compare eye tracking (ET) and manual coding (MC) measures of attention to social and nonsocial information in infants with elevated familial likelihood (EL) of autism spectrum disorder (ASD) and low likelihood of ASD (LL). ET provides a temporally and spatially sensitive tool for measuring gaze allocation. Existing…
Descriptors: Eye Movements, Attention, Infants, Autism Spectrum Disorders
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Bradley, Holly; Smith, Beth A.; Wilson, Rujuta B. – Infant and Child Development, 2023
Joint attention (JA) is the purposeful coordination of an individual's focus of attention with that of another and begins to develop within the first year of life. Delayed, or atypically developing, JA is an early behavioural sign of many developmental disabilities and so assessing JA in infancy can improve our understanding of trajectories of…
Descriptors: Attention, Infants, Child Development, Qualitative Research
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Dandan Yang; Zhanxia Yang; Marina Umaschi Bers – Computer Science Education, 2025
Background and context: Despite the growing importance of computer science (CS) education, high-quality CS curricula for students in kindergarten to lower elementary grades are lacking. It is also unclear how students from underrepresented groups such as female students, students from low socioeconomic status, and students with disability respond…
Descriptors: Computer Science Education, Early Childhood Education, Program Effectiveness, Programming
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Robins, Anthony V. – ACM Transactions on Computing Education, 2022
This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…
Descriptors: Learning Theories, Cognitive Processes, Intelligence, Long Term Memory