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Recombinant Enaction: Manipulatives Generate New Procedures in the Imagination, by Extending and Recombining Action
Jeenath Rahaman1, Harshit Agrawal1, Nisheeth Srivastava2
1Homi Bhabha Centre for Science Education, Tata Institute of Fundamental Research.
Manipulating geometric shapes like tangrams aids math learning by creating internal action traces. This geometric structure, not just manipulation, is key for developing problem-solving skills in students.
Area of Science:
- Cognitive Science
- Educational Psychology
- Neuroscience
Background:
- Physical models like tangrams are used in early math education.
- Computational media extend manipulation-based learning to virtual mathematical entities.
- Mechanisms of how manipulation builds internal structures for problem-solving are unclear.
Purpose of the Study:
- To model how manipulations create internal traces and how these traces support problem-solving.
- To investigate the cognitive and neural underpinnings of manipulation-based learning in mathematics.
Main Methods:
- Two groups of sixth-grade students solved area problems.
- One group manipulated tangrams; the other completed a descriptive test.
- Eye-movement trajectories were recorded during problem-solving.
Main Results:
- Distinct eye-movement patterns were observed between the tangram and descriptive test groups.
- A second study confirmed that the tangram's geometric structure, not mere manipulation, drove these differences.
- A theoretical model was developed to explain these findings.
Conclusions:
- Geometric structure is crucial for manipulation-based learning, influencing cognitive processes.
- The developed model accounts for how action-traces generated by geometric manipulation support problem-solving.
- Findings have implications for designing effective educational tools and strategies.
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