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Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
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Weiss, Staci Meredith; Marshall, Peter J. – Developmental Science, 2023
The development of the ability to anticipate--as manifested by preparatory actions and neural activation related to the expectation of an upcoming stimulus--may play a key role in the ontogeny of cognitive skills more broadly. This preregistered study examined anticipatory brain potentials and behavioral responses (reaction time; RT) to…
Descriptors: Brain Hemisphere Functions, Cognitive Ability, Reaction Time, Case Studies
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Simpson-Kent, Ivan L.; Fried, Eiko I.; Akarca, Danyal; Mareva, Silvana; Bullmore, Edward T.; Kievit, Rogier A. – Journal of Intelligence, 2021
Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary…
Descriptors: Network Analysis, Brain Hemisphere Functions, Intelligence, Schemata (Cognition)
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Salvucci, Dario D. – Cognitive Science, 2005
As cognitive architectures move to account for increasingly complex real-world tasks, one of the most pressing challenges involves understanding and modeling human multitasking. Although a number of existing models now perform multitasking in real-world scenarios, these models typically employ customized executives that schedule tasks for the…
Descriptors: Cognitive Processes, Models, Behavior Patterns, Computer Simulation