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Children spontaneously discover efficient solutions to a difficult sorting task
Huiwen Alex Yang1, Bill D Thompson2, Celeste Kidd2
1Department of Psychology, University of California, Berkeley, Berkeley, CA, USA. hw.yang@berkeley.edu.
Nature Human Behaviour
|October 3, 2025
Summary
Children can spontaneously discover and use efficient sorting algorithms, like selection sort, even in complex tasks. Performance improves with age, showing enhanced problem-solving skills in children.
Area of Science:
- Cognitive Development
- Computational Thinking
- Developmental Psychology
Background:
- Algorithmic strategies enhance problem-solving but are challenging for children to discover and apply.
- Previous research indicated children struggle with algorithmic strategies in seriation tasks.
Purpose of the Study:
- To investigate the spontaneous discovery and application of algorithmic solutions in children across different developmental stages.
- To assess children's ability to solve a complex sorting problem with hidden information.
Main Methods:
- A modified sorting task was presented to children, involving ordering animated bunnies by height behind a visual barrier.
- Children's performance and discovered strategies (e.g., selection sort, shaker sort) were analyzed across age groups.
Main Results:
- Children performed significantly above chance, indicating competence in the challenging sorting task.
- Independent discovery of efficient algorithms like selection sort and shaker sort was observed.
- Older children demonstrated superior sorting performance and more frequent use of efficient algorithms compared to younger children.
Conclusions:
- Children possess a greater capacity for discovering and applying algorithmic solutions than previously suggested.
- Sorting task performance and the utilization of efficient algorithms improve with age.
- This study highlights children's innate ability for behavioral organization and effective problem-solving.
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