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Making use of Rarely Given Wrong Answers on the Force Concept Inventory

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Title: Making use of Rarely Given Wrong Answers on the Force Concept Inventory


1
Making use of Rarely Given Wrong Answers on the
Force Concept Inventory
  • A. John Mallinckrodt
  • Cal Poly Pomona
  • ajm_at_csupomona.edu

2
The Problem
  • Many administer the FCI in ungraded, credit for
    completion mode.
  • How do we establish that the test has been taken
    in good faith?

3
One Solution
  • Have a way to identify exams that are not taken
    in good faith and
  • tell the class about it!

4
Rarely Given Wrong Answers
  • The FCI has a large number of distractors that
    are rarely chosen by studentsRGWAs
  • Random choice leads to an anomalously high
    occurrence frequency for RGWAs

5
Defining RGWAs
  • Choice of database
  • Large set of previous results
  • Current cohort
  • Choice of frequency(My discriminator 1/f
    minimum number of exams expected to yield one
    instance of the specific RGWA)

6
Procedure
  • Collect frequencies for all answers
  • Decide on a set of RGWAs
  • Determine expected number of RGWAs
  • For random guessing (Total number of RGWAs/5)
  • For good faith effort ( Sum of ps for each
    RGWA)
  • Compare with individual results(Note We can
    always expect random guessing to produce 6
    correct answers.)

7
Examples
8
Now what?
  • To confront or not to confront?
  • To deny credit or not to deny credit?

9
Conclusions
  • RGWAs seem to provide a relatively robust method
    of identifying bad faith efforts
  • Still needed
  • Larger databases
  • Better statistical analyses
  • More user-friendly (user-friendlier?) interface
  • Interest from FCI community (?)

10
Making use of Rarely Given Wrong Answers on the
Force Concept Inventory
  • A. John Mallinckrodt
  • Cal Poly Pomona
  • ajm_at_csupomona.edu
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