Phys. Rev. ST Phys. Educ. Res. 3, 020104 (2007)
Analogical scaffolding and the learning of abstract ideas in physics: Empirical studies
Noah S. Podolefsky and Noah D. Finkelstein
(Some reference links may require a separate subscription.)
-
J. Lemke, in Reading Science: Critical and Functional Perspectives on Discourses of Science, edited by J. R. Martin and R. Veels (Routledge, London, 1998).
-
E. Ochs, P. Gonzales, and S. Jacoby, in Interaction and Grammar, edited by E. Ochs, E. Schegloff, and S. Thompson (Cambridge University Press, Cambridge, England, 1996).
-
K. Dunbar, in Model-based Reasoning in Scientific Discovery, edited by L. Magnani, N. Nercessian, and P. Thagard (Plenum Press, New York, 1999).
-
D. Givry and W. M. Roth, Toward a new conception of conceptions: Interplay of talk, gestures, and structures in the setting. J. Res. Sci. Teach. 43, 1086 (2006).
-
N. S. Podolefsky and N. D. Finkelstein, Analogical scaffolding and the learning of abstract ideas in physics: An example from electromagnetic waves. Phys. Rev. ST Phys. Educ. Res. 3, 010109 (2007).
-
M. Hesse, Models and Analogies in Science (University of Notre Dame Press, Notre Dame, IN 1966).
-
E. Rutherford, The scattering of
α
and
β
particles by matter and the structure of the atom. Philos. Mag. 6, 21 (1911).
-
Maxwell actually used multiple analogies in addition to fluid theory. See Nancy J. Nersessian, in Reading Natural Philosophy: Essays in the History and Philosophy of Science and Mathematics, edited by David B. Malament (Open Court Publishing Company, Chicago, IL, 2002), pp. 129–166.
-
M. K. Iding, How analogies foster learning from science texts. Instr. Sci. 25, 233 (1997).
-
D. Gentner, Structure-mapping: A theoretical framework for analogy. Cogn. Sci. 7, 155 (1983).
-
K. J. Holyoak and P. Thagard, The analogical mind. Am. Psychol. 52(1), 35 (1997) [CAS].
-
D. Gentner and D. R. Gentner, in Mental Models, edited by D. Gentner and A. Stevens (Lawrence Erlbaum Press, Hillsdale, NJ, 1983).
-
S. Vosniadou, in Similarity and Analogical Reasoning, edited by S. Vosniadou and A. Ortony (Cambridge University Press, Cambridge, England 1989).
-
D. E. Brown and J. Clement, Overcoming misconceptions via analogical reasoning: Abstract transfer versus explanatory model construction. Instr. Sci. 18, 237 (1989).
-
D. Hammer, A. Elby, R. F. Scherr, and E. F. Redish, in Transfer of Learning from a Modern Multidisciplinary Perspective, edited by J. Mestre (Information Age Publishing, Greenwich, CT, 2005), pp. 89–120.
-
A. A. diSessa, in Constructivism in the Computer Age, edited by G. Forman and P. B. Pufall (Lawerence Erlbaum Associates, Hillsdale, NJ, 1988).
-
C. Sandifer, Proceedings of the 2003 Physics Education Research Conference, 2004, Vol. 720, pp. 93–96.
-
J. Clement, Observed methods for generating analogies in scientific problem solving. Cogn. Sci. 12, 563 (1988).
-
R. J. Spiro, P. J. Feltovich, R. L. Coulson, and D. K. Anderson, in Similarity and Analogical Reasoning, edited by S. Vosniadou and A. Ortony (Cambridge University Press, Cambridge, England, 1989).
-
S. M. Glynn, in The Psychology of Learning Science, edited by S. Glynn, R. Yeany and B. Beritton (Erlbaum, Hillsdale, NJ, 1991).
-
J. Clement, Proceedings of the Fourth Annual Conference of the Cognitive Science Society, 1982, Vol. 4, pp. 79–81.
-
M. L. Gick and K. J. Holyoak, Analogical problem solving. Cogn. Psychol. 12, 306 (1980).
-
M. L. Gick and K. J. Holyoak, Schema induction and analogical transfer. Cogn. Psychol. 15, 1 (1983).
-
V. M. Sloutsky, J. A. Kaminsky, and A. F. Heckler, The advantage of simple symbols for learning and transfer. Psychonomic Bulletin and Review 12 (3), 508 (2005).
-
R. L. Goldstone and Y. Sakamoto, The transfer of abstract principles governing complex adaptive systems. Cogn. Sci. 46, 414 (2003).
-
A. Van Heuvelen and X. Zou, Multiple representations of work-energy processes. Am. J. Phys. 69, 184 (2001) [SPIN][INSPEC].
-
N. S. Podolefsky and N. D. Finkelstein, Use of analogy in learning physics: The role of representations. Phys. Rev. ST Phys. Educ. Res. 2, 020101 (2006).
-
B. S. Ambrose, P. R. L. Heron, S. Vokos, and L. C. McDermott, Student understanding of light as an electromagnetic wave: Relating the formalism to physical phenomena. Am. J. Phys. 67, 891 (1999) [SPIN].
-
Developing well honed curricular materials would require an iterative cycle of design, testing with students, and modification. Analogical scaffolding serves as a cognitive model on which to base curricular materials and may be considered a guide in this iterative development process.
-
W. M. Roth and G. M. Bowen, Complexities of graphical representations during lectures: A phenomenological approach. Learn. Instr. 9, 235 (1999).
-
G. Fauconnier and M. Turner, The Way We Think: Conceptual Blending and the Mind’s Hidden Complexities (Basic Books, New York, 2003).
-
G. Lakoff and R. Nunez, Where Mathematics Comes From: How the Embodied Mind Brings Mathematics into Being (Basic Books, New York, 2001).
-
A. Elby, What students’ learning of representation tells us about constructivism. J. Math. Behav. 19, 481 (2000).
-
J. Touger, Introductory Physics: Building Understanding (John Wiley & Sons, New York, 2005).
-
www.lon-capa.org.
-
Unless otherwise stated, all statistics are based on a two-tailed
z
test.
-
L. C. McDermott and P. S. Schaffer, Tutorials in Introductory Physics (Prentice-Hall, Englewood Cliffs, NJ, 2001).
-
These interviews were conducted as part of the modifications of the materials used in these studies. The standard EM-wave representations often used in textbooks includes crossed E and B fields represented by superimposed vectors and sine waves. This standard representation is problematic for several reasons which were revealed in student interviews. In these interviews, we found that students often did not distinguish between the electric and magnetic fields, resulting in false positives on question 2. This is because with the B field shown, students might answer
P=R
since both of these points lie near a wave peak, (the E field for P and the B field for R). We also removed the vectors from these representations in Fig. 2 in order to examine how students make sense of this “stripped down” and more abstract representation.
-
The idea that, for a traveling wave, a point where the wave crosses the
x
axis at one instant in time will be nonzero as the wave propagates was covered explicitly for a wave on a string. We expected that, combined with the hint on question 2 in Fig. 2 , students would be able to reason productively about the “time averaged” signal of an EM wave. Our classroom observations indicate that students make sense of traveling waves in the context of a wave on a string, but do not, in general, apply this idea when answering question 2 in Fig. 2 . We have some evidence that addressing the term “time averaged signal” explicitly helps students make this connection.
-
Supplementary materials are available at http://per.colorado.edu/analogy/index.htm.
-
We note that since a surface-level interpretation of a sine wave results in productive ideas for a wave-on-a-string, but not for sound or EM waves, a sine wave can be considered an abstract representation of a sound or EM wave, but relatively concrete for a wave-on-a-string. We purposefully designed this particular “abstract” sound wave representation in order to complement the EM wave representation, (e.g., Fig. 2 ) and promote student’s use of the sound wave analogy in a manner that will facilitate understanding of this EM representation. Additionally, what is labeled as abstract or concrete will depend upon the individual using these representations. See the discussion of abstraction in Ref. [5] and notes (Refs. [48, 49]) therein.
-
It may be noted that the PER community recognizes the need for a more refined approach to student thinking than a conceptions or misconceptions approach. However, researchers still argue for the existence of large-scale, stable, consistently activated sets of resources (Ref. [56]). For an in depth examination of conceptions, see Elby (Ref. [33]).
-
K. A. Strike and G. J. Posner, in Cognitive Structure and Conceptual Change, edited by L. H. T. West and A. L. Pines (Academic Press, New York, 1985), pp. 211–231.
-
M. McCloskey, Intuitive physics. Sci. Am. 248, No. 4, p. 122 (1983).
-
The notion that misconceptions are relatively stable across contexts is testable. For more see Ref. [4].
-
Along the lines of diSessa’s
p
-prims (Ref. [16]).
-
This might be an example of WYSIWYG type reasoning (Ref. [33]).
-
Note that nearly all of the off-diagonal elements, 35 of 36 cells, are zero, (not including the category Other). In this case a
χ2
test is invalid. However, because of the nearly perfect diagonalization, we may conclude a strong association between answer choice and stated reasoning.
-
We do not have a compelling explanation for the unexpectedly large number of students in the abstract group answering partially correct on the pre-test. Since the majority of these students answered differently, and incorrectly, on the post-test, we consider this result curious, but insignificant to our broader findings.
-
We observe 25% differences between concrete and blend groups on both questions 1, (correct answer) and 2, (partially correct answer) with
p<0.1
. In this case, since we expect high performers to be less susceptible to representational effects than low performers, a one-tailed
z
test may be appropriate which would result in
p<0.05
. Note that dividing the student populations into high and low performers reduces N by half in statistical tests, resulting in reduced significance levels even on observed differences of 25% between treatments.
-
In this lab activity, sound was consistently represented by a sine wave, with one pictorial representation of air particles along the lines of the concrete representation used. No blended representations were used.
-
Z. Hrepic, D. Zollman, and S. Robello, Proceedings of the NARST 2005 Annual Meeting, 2005.
-
According to the model (Ref. [5]), the concrete, (air particles) sign is privileged over the abstract, (sine wave) sign for making meaning of sound. Thus the sine wave inherits the 3D schema from the air particles picture, (and not the other way around).
-
Note that both transverse and longitudinal waves can be generated on a stretched slinky. Most of the students who choose the slinky analogy indicated in their open response that their choice was associated with a longitudinal wave.
-
Here, we observe signs driving schemata. Note that schemata may also drive the meaning, (or creation) of signs. We might consider this latter directionality an indicator of expert reasoning.
-
E. F. Redish, Teaching Physics with the Physics Suite (Wiley, New York, 2003).
|
|