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Damar Rais; Zhao Xuezhi – Journal on Mathematics Education, 2024
Python programming is widely employed in educational institutions worldwide. Within the "Merdeka Belajar" curriculum context, this programming is recognized as a suitable vehicle for mathematics instruction, significantly influencing students' motivation and learning outcomes, particularly following periods of educational hiatus. This…
Descriptors: Student Motivation, Learning Motivation, Programming Languages, Student Attitudes
Mayer, Robert V. – European Journal of Contemporary Education, 2017
Various approaches to the problem of computer modelling of assimilation and forgetting of the educational information are considered. With the help of the multi-component model the Ebbinghaus' curve of forgetting of poorly assimilating information to be remembered through recurrences is confirmed. It is taken into account, that while training…
Descriptors: Memory, Qualitative Research, Computer Simulation, Observational Learning
Walsh, Matthew M.; Gluck, Kevin A. – Cognitive Science, 2015
To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within…
Descriptors: Schemata (Cognition), Simulation, Semantics, Memory
Thiessen, Erik D.; Pavlik, Philip I., Jr. – Cognitive Science, 2013
Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in…
Descriptors: Mathematical Models, Memory, Language Acquisition, Learning
Griffiths, Thomas L.; Lewandowsky, Stephan; Kalish, Michael L. – Cognitive Science, 2013
Information changes as it is passed from person to person, with this process of cultural transmission allowing the minds of individuals to shape the information that they transmit. We present mathematical models of cultural transmission which predict that the amount of information passed from person to person should affect the rate at which that…
Descriptors: Culture, Information Dissemination, Mathematical Models, Prediction
Hayes, Brett K.; Fritz, Kristina; Heit, Evan – Developmental Psychology, 2013
In 2 studies, the authors examined the development of the relationship between inductive reasoning and visual recognition memory. In both studies, 5- to 6-year-old children and adults were shown instances of a basic-level category (dogs) followed by a test set containing old and new category members that varied in their similarity to study items.…
Descriptors: Logical Thinking, Age Differences, Developmental Continuity, Generalization
Ploger, Don; Hecht, Steven – Childhood Education, 2012
Although learning mathematics certainly depends upon accurate understanding of the facts of multiplication, it requires much more. This study examines the relationship between a meaningful understanding of arithmetic operations and the mastery of basic facts. The study began with a joke about a mistaken mathematical fact. The children appreciated…
Descriptors: Arithmetic, Memory, Multiplication, Mathematics
Reder, Lynne M.; Park, Heekyeong; Kieffaber, Paul D. – Psychological Bulletin, 2009
There is a popular hypothesis that performance on implicit and explicit memory tasks reflects 2 distinct memory systems. Explicit memory is said to store those experiences that can be consciously recollected, and implicit memory is said to store experiences and affect subsequent behavior but to be unavailable to conscious awareness. Although this…
Descriptors: Memory, Mathematical Models, Association (Psychology), Cognitive Psychology
Heit, Evan; Hayes, Brett K. – Journal of Experimental Psychology: General, 2011
In an effort to assess the relations between reasoning and memory, in 8 experiments, the authors examined how well responses on an inductive reasoning task are predicted from responses on a recognition memory task for the same picture stimuli. Across several experimental manipulations, such as varying study time, presentation frequency, and the…
Descriptors: Visual Stimuli, Mathematical Models, Recognition (Psychology), Memory
Farovik, Anja; Dupont, Laura M.; Eichenbaum, Howard – Learning & Memory, 2010
Previous studies have suggested that dorsal hippocampal areas CA3 and CA1 are both involved in representing sequences of events that compose unique episodes. However, it is uncertain whether the contribution of CA3 is restricted to spatial information, and it is unclear whether CA1 encodes order per se or contributes by an active maintenance of…
Descriptors: Statistical Bias, Intervals, Mathematical Models, Memory
Balota, David A.; Yap, Melvin J.; Cortese, Michael J.; Watson, Jason M. – Journal of Memory and Language, 2008
Chronometric studies of language and memory processing typically emphasize changes in mean response time (RT) performance across conditions. However, changes in mean performance (or the lack thereof) may reflect distinct patterns at the level of underlying RT distributions. In seven experiments, RT distributional analyses were used to better…
Descriptors: Reaction Time, Semantics, Memory, Semiotics
Camos, Valerie – Journal of Experimental Child Psychology, 2008
This study aimed to evaluate the impact of individual differences in working memory capacity on number transcoding. A recently proposed model, ADAPT (a developmental asemantic procedural transcoding model), accounts for the development of number transcoding from verbal form to Arabic form by two mechanisms: the learning of new production rules…
Descriptors: Memory, Developmental Delays, Individual Differences, Short Term Memory
Oberauer, Klaus; Kliegl, Reinhold – Journal of Memory and Language, 2006
A mathematical model of working-memory capacity limits is proposed on the key assumption of mutual interference between items in working memory. Interference is assumed to arise from overwriting of features shared by these items. The model was fit to time-accuracy data of memory-updating tasks from four experiments using nonlinear mixed effect…
Descriptors: Memory, Mathematical Models, Experiments, Spatial Ability

McClelland, James L. – Psychological Review, 1979
The cascade model of information processing is compatible with the relation between time and accuracy in speed-accuracy trade-off experiments. Findings regarding the additive factors methods led to reexamination of conclusions drawn from several studies about the locus of perceptual and attentional effects on processing. (Author/RD)
Descriptors: Abstract Reasoning, Cognitive Processes, Conceptual Schemes, Mathematical Models

Grams, William; Van Belle, Gerald – Psychometrika, 1972
A formula for the ratio of the variance of the pooled transformed data under departure from the binomial assumption to the variance of the pooled transformed data when the binomial assumption holds is given. (Authors)
Descriptors: Hypothesis Testing, Mathematical Models, Memory, Transformations (Mathematics)