1 / 21

Analyzing Student Responses to a Multiple Representation Problem

Analyzing Student Responses to a Multiple Representation Problem. Tara Bartiromo and Eugenia Etkina. February 17, 2010 AAPT Winter Meeting Washington, DC. NSF DRL-0733140. Context of Study. Curriculum used: Physics Union Mathematics High Schools implemented Kinematics Module

abby
Download Presentation

Analyzing Student Responses to a Multiple Representation Problem

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Analyzing Student Responses to a Multiple Representation Problem Tara Bartiromo and Eugenia Etkina February 17, 2010 AAPT Winter Meeting Washington, DC NSF DRL-0733140

  2. Context of Study • Curriculum used: Physics Union Mathematics • High Schools implemented Kinematics Module • Participants: 167 high school students • Test Problem: Qualitative kinematics problem, far transfer1, open-ended, requires multiple representations • Focus: Students’ solutions to test problem (not curriculum) Barnett & Ceci (2002).

  3. Test Problem Two small metal balls are dropped from the same height, but the second ball is dropped a little later than the first one. When the second ball is released, the vertical distance between the balls is 2.0 cm. Use your knowledge of how objects fall to predict what will happen to the distance between the balls as the balls fall. Explain your prediction using a motion diagram (dot diagram), a position-versus-time graph, and mathematically. Far transfer problem according to Barnett and Ceci (2002).

  4. Scientific Abilities Rubric*: Motion Diagram * Etkina, E., Van Heuvelen, A., White-Brahmia, S., Brookes, D.T., Gentile, M., Murthy, S.  Rosengrant, D., and Warren, A. (2006).

  5. Research on Representations Experts: Qualitative/quantitative reasoning1,2, variety of representations1, fluent translators2. Novices: Representation use?2, representations are instruction-dependent4,5, quality of representation4,5,6 Goals of Education 1. Van Heuvelen (1991); 2. Kozma & Russell (1997); 3. Kohl & Finkelstein (2008); 4. De Leone, & Gire, (2005); 5. Rosengrant, Van Heuvelen, & Etkina (2009); 6. Kohl & Finkelstein (2007); 7. Meltzer (2005); 8. . Dufresne, Gerace, & Leonard (1997).

  6. Sample Student Response Student Understanding?

  7. Student Understanding?

  8. What evidence is enough to demonstrate student understanding (of a concept, a problem, etc.)?

  9. Evidence of Student Understanding: Single Representation Sample: 167 Students

  10. Using Prediction as a Grading Criteria

  11. Consistency and Correctness of Representations

  12. Summary • Assessing any single representation for correctness leads to very different results1. • Student understanding is multi-dimensional and can only be discovered when students need to use multiple representations to solve a problem2. • Fluent translation (i.e. consistency) between representations needs to be fostered but is not sufficient. 1. Kohl & Finkelstein (2006); 2. Lesh, Post, & Behr. (1987).

  13. Implications • As researchers, we base our judgment of student understanding on superficial criteria. As scientists we should look for more evidence. • There are simple ways of probing deeper to obtain more evidence of student understanding • Additionally assess students using a more complex problem that requires students to use and reason with multiple representations (not in isolation on multiple problems). Lesh, Post, & Behr. (1987).

  14. For More Information: • http://pum.rutgers.edu • http://www.islephysics.net • http://paer.rutgers.edu/scientificabilities/ Email: tbartiro@gmail.com References: E. Etkina, and A. Van Heuvelen, in Research-Based Reform of University Physics (2007), Vol. 1, WWW Document, (http://www.compadre.org/Repository/docu ment/ServeFile.cfm?ID=4988&DocID=239). Etkina, E., Van Heuvelen, A., (2006, 2001), Investigative Science Learning Environment Etkina, E., Van Heuvelen, A., White-Brahmia, S., Brookes, D.T., Gentile, M., Murthy, S.  Rosengrant, D., and Warren, A. (2006) Developing and assessing student scientific abilities. Physical Review. Special Topics, Physics Education Research. 2, 020103. Lesh, R., Post, T., & Behr, M. (1987). Representations and translations among representations in mathematics learning and problem solving. In C. Janvier (Ed.), Problems of representation in the teaching and learning of mathematics (pp. 33-40). Hillsdale, NJ: Erlbaum. Rosengrant, D. Van Heuvelen, A., & Etkina, E. (2009). Do students use and understand free-body diagrams? Phys. Rev. Special Topics – PER, 5, 010108. Meltzer, D. E. (2005). Relation between students’ problem-solving performance and representational format. Am. J. Phys., 73, 463-478. Kohl, P. B., & Finkelstein, N. D. (2005). Student representational competence and self-assessment when solving physics problems. Phys. Rev. Special Topics – PER, 1, 010104. Kohl, P. B., & Finkelstein, N. D. (2006). Effects of representation on students solving physics problems: A fine-grained characterization. Phys. Rev. Special Topics – PER, 2, 010106. Kohl, P. B., & Finkelstein, N. D. (2007). Strongly and weakly directed approaches to teaching multiple representation use in physics. Phys. Rev. Special Topics – PER, 3, 010108. Kohl, P. B., & Finkelstein, N. D. (2008). Patterns of multiple representation use by experts and novices during physics problem solving. Phys. Rev. Special Topics – PER, 4, 010111. De Leone, C. J., & Gire, E. (2005). Is instructional emphasis on the use of non-mathematical representations worth the effort? In Heron, P., McCullough, L., and Marx, J. (Eds.), 2005 Physics Education Research Conference, 818, Salt Lake City, Utah, p. 45-48. Kozma, R., & Russell, J. (1997). Multimedia and understanding: Expert and novice responses to different representations of chemical phenomena. Journal of Research in Science Teaching, 34, 949-968. Dufresne, R., Gerace, W., Leonard, W. (1997). Solving physics problems with multiple representations. The Physics Teacher, 35, 270-275. Barnett, S. M., & Ceci, S. J. (2002). When and where do we apply what we learn? A taxonomy for far transfer. Psychological Bulletin, 128, 612-637.

  15. Percent of Students who Included each Representation Sample: 167 Students

  16. Sample PUM Activity • 12.8 • An object moves horizontally. The equations below represent its motion mathematically. Describe the actual motion that these two equations together might describe. • v(t) = +20 m/s + (-2 m/s2)t • x(t) = -200 m + (+20 m/s)t + ½(-2 m/s2)t2 • a) Describe the motion in words and sketch the process represented in the two mathematical expressions above. • b) Draw a motion diagram • c) Draw a position-versus-clock reading graph and a velocity-versus-clock reading graph.

  17. Sample PUM Activity 12.2 Use the Moving Man PHET simulation. The man is walking initially at 0.75 m/s towards his home starting from the position of 7m to the left of the origin. At this point, he begins to increase his velocity at a rate of 0.2 m/s every second. a) Write an expression for the man’s position as a function of time. b) Create a position vs. time and velocity vs. time graph for this function. c) Before you continue with the simulation, check for consistency between the representations. How do you know they are consistent?

  18. Multiple-Representation-Related Goals of Education • Want students to: • Represent processes for qualitative and quantitative understanding1. • Use variety of representations to solve problems8. • Flexibly translate between representations2. 1. Van Heuvelen (1991); 2. Kozma & Russell (1997); 3. Kohl & Finkelstein (2008); 4. De Leone, & Gire, (2005); 5. Rosengrant, Van Heuvelen, & Etkina (2009); 6. Kohl & Finkelstein (2007); 7. Meltzer (2005); 8. Dufresne, Gerace, & Leonard (1997).

  19. Using Explanation as a Grading Criteria

  20. Sample Student Response Student Understanding?

  21. Student Understanding?

More Related