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Measuring students' learning progressions in energy using cognitive diagnostic models.

Shuqi Zhou1, Anne Traynor2

  • 1College of Foreign Languages, Donghua University, Shanghai, China.

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|August 26, 2022
PubMed
Summary
This summary is machine-generated.

This study used cognitive diagnostic models to evaluate student learning progressions in energy concepts. Findings indicate a consistent learning trajectory across different educational systems, highlighting common student understanding patterns.

Keywords:
cognitive diagnostic modelenergy conceptinstructional sensitivitylearning progressionmastery pattern

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Area of Science:

  • Cognitive science
  • Physics education research
  • Educational assessment

Background:

  • Understanding student learning progressions is crucial for effective science education.
  • Existing frameworks for energy concepts need robust assessment tools.
  • Cognitive diagnostic models offer a nuanced approach to evaluating student mastery.

Purpose of the Study:

  • To apply cognitive diagnostic models to assess learning progressions in energy.
  • To validate a Q-matrix based on literature and assessment frameworks.
  • To examine the consistency of energy concept mastery across different curricula.

Main Methods:

  • Development and validation of a Q-matrix for energy concepts.
  • Application of the deterministic inputs, noisy 'and' gate (DINA) model.
  • Analysis of student data from Australia, Hong Kong, and Ontario.

Main Results:

  • The hypothesized learning progression for energy concepts was supported by empirical data.
  • Similar patterns of attribute mastery were observed across the three jurisdictions.
  • Instructional sensitivity of assessment items was evaluated.

Conclusions:

  • Cognitive diagnostic models effectively map student learning progressions in energy.
  • Cross-jurisdictional similarities in mastery suggest common learning pathways.
  • Curriculum and misconceptions significantly influence energy concept acquisition.