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Are students good at choosing representational formats for problem solving in physics? P. B. Kohl, N. D. Finkelstein, University of Colorado at Boulder.

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Presentation on theme: "Are students good at choosing representational formats for problem solving in physics? P. B. Kohl, N. D. Finkelstein, University of Colorado at Boulder."— Presentation transcript:

1 Are students good at choosing representational formats for problem solving in physics? P. B. Kohl, N. D. Finkelstein, University of Colorado at Boulder

2 Acknowledgements This work was funded in part by an NSF Graduate Fellowship. This work is part of that of the UC Boulder PER Group

3 Introduction What do we mean by representation?

4 Introduction Numerous studies of and attempts to increase student representational facility –Studies of explicit teaching of multiple- representation approaches –Studies of ‘meta-representational competence’ –Direct comparisons of student performance on different representations

5 Goals To look at student inter-representational competence following Meltzer and others To investigate the effects of student choice on representational performance

6 Methods Studies in two areas: one covering wave optics, one covering atomic physics Approximately 220 students per trial

7 Methods Required HW: 1 topic, 4-formats –Verbal –Mathematical –Graphical –Pictorial In section quiz: 1 question, multiple choice –2/3rds Choose their format –1/3rd Random assignment

8 Methods - Other data Student comments Perceived difficulty (Likert rating)

9 Performance variation with format, ‘isomorphic’ problems HW set on Bohr model

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12 Graphical format:77% correct (N = 218) Pictorial format:62% Statistically significant, p = 0.006 (binomial z-test, two-tailed) Answer breakdown indicates preference for ‘energy-level’ distractor

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15 Comparisons, choice vs. control groups BohrVerbalMathGraph Choice0.81 (N=21)0.90 (N=42)0.96 (N=28) Control0.32 (N=19) p = 0.002 0.13 (N=15) p < 0.0001 0.53 (N=17) p = 0.0004 Pictorial 0.39 (N=58) 0.83 (N=18) p = 0.0012

16 Performance Data Fraction Correct HW #1 Quiz #1 Choice Quiz #1 Control HW #2 Quiz #2 Choice Quiz #2 Control Verbal0.520.350.240.850.810.32 Math0.600.370.560.850.900.13 Graph0.460.040.250.760.960.53 Pictorial0.540.820.580.620.400.83

17 Conclusion Strong influences on performance –Representational format –Student choice Future work –Expand studies into other topics –Include interviews to probe solution strategies and motivations


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