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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
Azaryahu, Libby; Courey, Susan Joan; Elkoshi, Rivka; Adi-Japha, Esther – Developmental Science, 2020
Music and mathematics require abstract thinking and using symbolic notations. Controversy exists regarding transfer from musical training to math achievements. The current study examined the effect of two integrated intervention programs representing holistic versus acoustic approaches, on fraction knowledge. Three classes of fourth graders…
Descriptors: Music Education, Mathematics Instruction, Mathematics Achievement, Holistic Approach
Zhao, Xin; Chen, Ling; Maes, Joseph H. R. – Developmental Science, 2018
Response inhibition is crucial for mental and physical health but studies assessing the trainability of this type of inhibition are rare. Thirty-nine children aged 10-12 years and 46 adults aged 18-24 years were assigned to an adaptive go/no-go inhibition training condition or an active control condition. Transfer of training effects to…
Descriptors: Responses, Inhibition, Control Groups, Transfer of Training
Pitchford, Nicola J.; Chigeda, Antonie; Hubber, Paula J. – Developmental Science, 2019
Globally, gender differences are reported in the early acquisition of reading and mathematics as girls tend to outperform boys in reading, whereas boys tend to outperform girls in mathematics. This can have long-term impact resulting in an under-representation of girls in Science, Technology, Engineering and Mathematics subjects. Recent research…
Descriptors: Gender Differences, Computer Software, Low Income, Foreign Countries
Knutsen, John; Mandell, David S.; Frye, Douglas – Developmental Science, 2017
Children learn novel information using various methods, and one of the most common is human pedagogical communication or teaching--the purposeful imparting of information from one person to another. Neuro-typically developing (TD) children gain the ability to recognize and understand teaching as a core method for acquiring knowledge from others.…
Descriptors: Autism, Pervasive Developmental Disorders, Cognitive Ability, Teaching Methods
Rhodes, Marjorie; Gelman, Susan A.; Brickman, Daniel – Developmental Science, 2010
Two studies compared children's attention to sample composition--whether a sample provides a diverse representation of a category of interest--during teacher-led and learner-driven learning contexts. In Study 1 (n = 48), 5-year-olds attended to sample composition to make inferences about biological properties only when samples were presented by a…
Descriptors: Recall (Psychology), Inferences, Writing (Composition), Teaching Methods
Siegler, Robert S.; Ramani, Geetha B. – Developmental Science, 2008
The numerical knowledge of children from low-income backgrounds trails behind that of peers from middle-income backgrounds even before the children enter school. This gap may reflect differing prior experience with informal numerical activities, such as numerical board games. Experiment 1 indicated that the numerical magnitude knowledge of…
Descriptors: Games, Number Concepts, Low Income Groups, Educational Games