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Area of Science:

  • Educational Psychology
  • Statistics Education

Background:

  • Interactive computer simulations are common pedagogical tools for statistical reasoning.
  • Theoretical frameworks like dual processes and grounded cognition inform simulation design and learning.
  • Understanding statistical sampling is crucial for developing statistical literacy.

Purpose of the Study:

  • To examine the effectiveness of interactive computer simulations in statistics education.
  • To investigate how simulations impact students' statistical reasoning and conceptual understanding.
  • To propose instructional strategies for optimizing simulation-based statistics learning.

Main Methods:

  • Review of educational literature on statistical sampling simulations.
  • Contrast of dual processes and grounded cognition theoretical frameworks.
  • Analysis of student difficulties in statistical reasoning with and without simulations.

Main Results:

  • Simulations show tentative benefits for developing statistical habits of mind.
  • Persistent student difficulties include aggregate data views, sampling distributions, law of large numbers, inference, and context-independent reasoning.
  • Grounded cognition offers a framework to understand these learning challenges.

Conclusions:

  • Simulations can support statistical reasoning, but deeper conceptual understanding remains a challenge.
  • Grounded cognition principles can guide the design of more effective simulations.
  • Testable instructional strategies are proposed to enhance meaning-making from simulations in statistics education.