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Links between repeating and growing pattern knowledge and math outcomes in children and adults
Giulia A Borriello1, Amanda Grenell1, Nicholas A Vest2
1Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA.
Repeating pattern knowledge strongly predicts math skills, while growing pattern knowledge offers a modest boost. Understanding these patterns is key for developing arithmetic abilities in children and adults.
Area of Science:
- Cognitive psychology
- Developmental psychology
- Mathematics education
Background:
- Pattern knowledge is crucial for mathematical development.
- Existing research often focuses on specific age groups or pattern types.
- The relationship between different pattern knowledge types and arithmetic skills requires further investigation.
Purpose of the Study:
- To investigate the associations between repeating and growing pattern knowledge and both procedural and conceptual arithmetic knowledge.
- To compare the predictive power of repeating versus growing pattern knowledge on mathematical skills.
- To expand theoretical models of mathematical development by incorporating findings on pattern knowledge.
Main Methods:
- A sample of 185 U.S. children and 93 U.S. adults participated in the study.
- Participants completed tasks assessing repeating and growing pattern knowledge.
- Procedural and conceptual arithmetic knowledge were also assessed.
Main Results:
- Repeating pattern tasks were found to be easier than growing pattern tasks.
- Repeating pattern knowledge significantly predicted procedural calculation skills, even when controlling for growing pattern knowledge and other covariates.
- Growing pattern knowledge showed a modest predictive association with both procedural and conceptual math outcomes, beyond repeating pattern knowledge and covariates.
Conclusions:
- Repeating pattern knowledge is a robust predictor of procedural calculation skills.
- Growing pattern knowledge contributes to both procedural and conceptual mathematical abilities.
- Findings suggest that interventions should consider both types of pattern knowledge for comprehensive math support.
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