Using module analysis for multiple choice responses: A new method applied to Force Concept Inventory data
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Using module analysis for multiple choice responses : A new method applied to Force Concept Inventory data. / Brewe, Eric; Bruun, Jesper; Bearden, Ian.
I: Physical Review Physics Education Research, Bind 12, Nr. 2, 2016, s. 1-32.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Using module analysis for multiple choice responses
T2 - A new method applied to Force Concept Inventory data
AU - Brewe, Eric
AU - Bruun, Jesper
AU - Bearden, Ian
N1 - Journal skifter navn til Physical Review Physics Education Research
PY - 2016
Y1 - 2016
N2 - We describe a methodology for carrying out a network analysis of Force Concept Inventory (FCI) responses that aims to identify communities of incorrect responses. This method first treats FCI responses as a bipartite, student X response, network. We then use Locally Adaptive Network Sparsification\citep{Foti2011} and InfoMap\citep{rosvall2009map} community detection algorithms to find modules of incorrect responses. This method is then used to analyze post-FCI data from one cohort of Danish university students. From this analysis, we find nine modules which we then interpret. The first three modules include: Impetus Force, More Force Yields More Results, and Force as Competition or Undistinguished Velocity and Acceleration. This approach to analysis of FCI results is an alternative to factor analysis and yields results that could be useful for modifying classroom activity. As a methodology, this is a first step and has a variety of potential uses particularly to help classroom instructors in using the FCI as a diagnostic instrument.
AB - We describe a methodology for carrying out a network analysis of Force Concept Inventory (FCI) responses that aims to identify communities of incorrect responses. This method first treats FCI responses as a bipartite, student X response, network. We then use Locally Adaptive Network Sparsification\citep{Foti2011} and InfoMap\citep{rosvall2009map} community detection algorithms to find modules of incorrect responses. This method is then used to analyze post-FCI data from one cohort of Danish university students. From this analysis, we find nine modules which we then interpret. The first three modules include: Impetus Force, More Force Yields More Results, and Force as Competition or Undistinguished Velocity and Acceleration. This approach to analysis of FCI results is an alternative to factor analysis and yields results that could be useful for modifying classroom activity. As a methodology, this is a first step and has a variety of potential uses particularly to help classroom instructors in using the FCI as a diagnostic instrument.
KW - Faculty of Science
KW - networks
KW - physics education research
KW - force concept inventory
U2 - 10.1103/PhysRevPhysEducRes.12.020131
DO - 10.1103/PhysRevPhysEducRes.12.020131
M3 - Journal article
VL - 12
SP - 1
EP - 32
JO - Physical Review Special Topics - Physics Education Research
JF - Physical Review Special Topics - Physics Education Research
SN - 1554-9178
IS - 2
ER -
ID: 156567601