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Adapting Taylor Dispersion to Measure the Dispersion Coefficient of Electrolyte Solutions via an Accessible Microfluidic Setup
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A Solution to the Measurement Problem in the Idiographic Approach Using Computer Adaptive Practicing.

Abe D Hofman1, Brenda R J Jansen2, Susanne M M De Mooij3

  • 1Department of Psychological Methods, University of Amsterdam, 1018 WS Amsterdam, The Netherlands. a.d.hofman@uva.nl.

Journal of Intelligence
|June 5, 2019
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Summary

This study introduces Math Garden, an online system for collecting high-quality, short-interval data on children's cognitive development. This approach addresses limitations in idiographic research, enabling better understanding of individual developmental pathways.

Keywords:
cognitive developmentcomputerized adaptive practicingidiographic approachintraindividual variationmathematics

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Area of Science:

  • Developmental Psychology
  • Quantitative Psychology
  • Educational Technology

Background:

  • The idiographic approach, emphasizing N = 1 time series, is crucial for understanding intraindividual variation in development.
  • Practical research faces challenges in collecting high-quality, short-interval time series data for developmental studies.

Purpose of the Study:

  • To present a novel measurement approach addressing limitations in idiographic research.
  • To introduce and explain the Math Garden online system for data collection.
  • To discuss methods for analyzing individual developmental pathways.

Main Methods:

  • Development of an online practice and monitoring system (Math Garden).
  • Daily or weekly data collection from thousands of primary school children.
  • Focus on short-interval time series of cognitive development data.

Main Results:

  • Math Garden provides a new method for gathering rich intraindividual data.
  • The system is currently used by thousands of children, demonstrating scalability.
  • Enables detailed analysis of individual cognitive developmental trajectories.

Conclusions:

  • The Math Garden system offers a viable solution for collecting high-quality idiographic data in developmental science.
  • This approach facilitates a deeper understanding of complex developmental processes at the individual level.
  • Provides a foundation for innovative analyses of children's learning and cognitive growth.