Abstract

Investigating student learning and understanding of conceptual physics is a primary research area within Physics Education Research (PER). Multiple quantitative methods have been employed to analyze commonly used mechanics conceptual inventories: the Force Concept Inventory (FCI) and the Force and Motion Conceptual Evaluation (FMCE). Recently, researchers have applied network analytic techniques to explore the structure of the incorrect responses to the FCI identifying communities of incorrect responses which could be mapped on to common misconceptions. In this study, the method used to analyze the FCI, Modified Module Analysis (MMA), was applied to a large sample of FMCE pretest and post-test responses ($N_{pre}=3956$, $N_{post}=3719$). The communities of incorrect responses identified were consistent with the item groups described in previous works. As in the work with the FCI, the network was simplified by only retaining nodes selected by a substantial number of students. Retaining nodes selected by 20\% of the students produced communities associated with only four misconceptions. The incorrect response communities identified for men and women were substantially different, as was the change in these communities from pretest to post-test. The 20% threshold was far more restrictive than the 4% threshold applied to the FCI in the prior work which generated similar structures. Retaining nodes selected by 5% or 10% of students generated a large number of complex communities. The communities identified at the 10\% threshold were generally associated with common misconceptions producing a far richer set of incorrect communities than the FCI; this may indicate that the FMCE is a superior instrument for characterizing the breadth of student misconceptions about Newtonian mechanics.

Highlights

  • Understanding common difficulties students exhibit in learning conceptual physics has been an important research strand in physics education research (PER) since its inception

  • Modified module analysis was applied to the Force and Motion Conceptual Evaluation (FMCE); the communities identified are shown in the first table in the Supplemental Material [60]

  • Physics conceptual inventories have played an important role in quantitative physics education research and understanding students’ difficulties with conceptual physics continues to be a central research area within PER

Read more

Summary

Introduction

Understanding common difficulties students exhibit in learning conceptual physics has been an important research strand in physics education research (PER) since its inception. This work was greatly advanced by the introduction of multiple-choice conceptual instruments measuring students’ understanding of mechanics and electricity and magnetism: the Force Concept Inventory (FCI) [1], the Force and Motion Conceptual Evaluation (FMCE) [2], the Conceptual Survey of Electricity and Magnetism (CSEM) [3], and the Brief Electricity and Magnetism Assessment (BEMA) [4]. Network analysis is a broad, flexible, and extremely productive field of quantitative analysis that has been used to analyze systems as diverse as the functional networks in the brain [17] and passing patterns of soccer teams [18]

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call