Abstract
The looking-back stage is rarely observed in students’ problem solving in spite of its recognized importance. The importance of this stage is attributed to practices of engagement with queries on verification of the obtained solution(s), comparative consideration of alternative solutions, and formulation of implications for future problem solving. We refer to such practices as looking-back practices. In the present study we explored the hypothesis that the looking-back practices can be evoked in small-group classroom discussions of controversial worked-out solutions to word problems. Such tasks are known as Who-Is-Right tasks. The data consisted of audio- and videotapes of six small groups of high-school students working on a Who-Is-Right task in the context of percentage. The data analysis, informed by a discursively-oriented perspective on problem solving, attended to strategies, dialogical moves and mathematical resources enacted by the students towards attempted agreement as to which of the solutions should be endorsed and why. The findings imply that Who-Is-Right tasks have undeniable potential for supporting collective looking-back practices. In addition, the study contributes to the literature on enactment of mathematical resources in problem-solving discourse and on patterns of students’ dialogic participation in small-group problem solving.



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Notes
Sfard and Kieran (2001) referred to discourse as “any specific instance of communicating, whether diachronic or synchronic, whether with others or with oneself, whether predominantly verbal or with the help of any other symbolic system” (p. 47).
In line with Schoenfeld (1985), we refer to problem-solving resources as discursively-enacted pieces of knowledge held by a student as true at least temporary and which serve as anchors for constructing arguments.
Of course, choosing ‘apples’ as a referent for \(x\) in Sophia’s solution is legitimate, the confusion is in the interpretation of the price of pears, as explained above.
References
Abdu, R., & Schwarz, B. (2020). Split up, but stay together: Collaboration and cooperation in mathematical problem solving. Instructional Science. https://doi.org/10.1007/s11251-020-09512-7
Asterhan, C. S. C., & Schwarz, B. B. (2009). Argumentation and explanation in conceptual change: Indications from protocol analyses of peer-to-peer dialogue. Cognitive Science, 33(3), 374–400
Ayalon, M., & Even, R. (2014). Factors shaping students’ opportunities to engage in argumentative activity. International Journal of Science and Mathematics Education, 14(3), 575–601
Clement, J. (1982). Algebra word problem solutions: Thought processes underlying a common misconception. Journal for Research in Mathematics Education, 13(1), 16–30
Cobb, P. (2000). Conducting teaching experiments in collaboration with teachers. In A. E. Kelly & R. A. Lesh (Eds.), Handbook of research design in mathematics and science education. (pp. 307–333). Lawrence Erlbaum.
Dey, I. (1999). Grounding grounded theory: Guidelines for qualitative inquiry. Academic Press.
Goos, M., & Galbraith, P. (1996). Do it this way! Metacognitive strategies in collaborative mathematical problem solving. Educational Studies in Mathematics, 30(3), 229–260
Goos, M., Galbraith, P., & Renshaw, P. (2002). Socially mediated metacognition: Creating collaborative zones of proximal development in small group problem solving. Educational Studies in Mathematics, 49(2), 193–223
Kantowski, M. (1977). Processes involved in mathematical problem solving. Journal for Research in Mathematics Education, 8, 163–180
Kilpatrick, J. (1985). A retrospective account of the past 25 years of research on teaching mathematical problem solving. In E. A. Silver (Ed.), Teaching and learning mathematical problem solving: Multiple research perspectives.Hillsdale Lawrence Erlbaum Associates.
Koichu, B. (2019). A discursively oriented conceptualization of mathematical problem solving. In P. Felmer, P. Liljedahl, & B. Koichu (Eds.), Problem solving in mathematics instruction and teacher professional development. (pp. 43–66). Springer.
Koichu, B., Biton, Y., Gendler, O., & Keller, N. (2018). Problem-solving forums at social networks that accompany mathematics study in Israeli high school. In N. Movshovitz-Hadar (Ed.), Israel mathematics education K–12. (pp. 199–208). World Scientific.
Koichu, B., & Zazkis, R. (2018). “I understand” talk in script writing. A case from Euclid’s Elements. In R. Zazkis & P. Herbst (Eds.), Mathematical dialogue: Scripting approaches in mathematics education research and practice. (pp. 163–184). Springer.
Lester, F. (2013). Thoughts about research on mathematical problem-solving instruction. The Mathematics Enthusiast, 10(1–2), 245–278
Malloy, C. E., & Jones, M. G. (1998). An investigation of African American students’ mathematical problem solving. Journal for Research in Mathematics Education, 29(2), 143–163
Mashiach-Eizenberg, M., & Zaslavsky, O. (2004). Students’ verification strategies for combinatorial problems. Mathematical Thinking and Learning, 6(1), 15–36
Movshovitz-Hadar, N. (Ed.). (2019). Israel mathematics education K–12. World Scientific.
Papadopoulos, I., & Dagdilelis, V. (2008). Students’ use of technological tools for verification purposes in geometry problem solving. Journal of Mathematical Behavior, 27(4), 311–325
Papadopoulos, I., & Sekeroglou, I. (2018). Types of control in collaborative problem solving. In A. Ambrus & E. Vasarhekyi (Eds.), Problem solving in mathematics education. Proceedings of the 19th ProMath Conference. (pp. 97–112). EötvösLoránd University.
Parker, M., & Leinhardt, G. (1995). Percent: A privileged proportion. Review of Educational Research, 65(4), 421–481
Pólya, G. (1945/1973). How to solve it. Princeton: Princeton University Press.
Rittle-Johnson, B., & Star, J. R. (2011). The power of comparison in learning and instruction: Learning outcomes supported by different types of comparisons. In: Psychology of learning and motivation (Vol. 55, pp. 199–225). Academic Press.
Schoenfeld, A. H. (1985). Mathematical problem solving. Academic Press.
Sfard, A., & Kieran, C. (2001). Cognition as communication: Rethinking learning-by-talking through multi-faceted analysis of students’ mathematical interactions. Mind, Culture, and Activity, 8(1), 42–76
Stillman, G. A., & Galbraith, P. (1998). Applying mathematics with real world connections: Metacognitive characteristics of secondary students. Educational Studies in Mathematics, 36, 157–189
Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory procedures and techniques. Sage.
Swan, M. (2007). The impact of task-based professional development on teachers’ practices and beliefs: A design research study. Journal of Mathematics Teacher Education, 10(4–6), 217–237
Tabach. M., & Koichu, B. (2019). Who is right? Theoretical analysis of representational activities. Proceedings of the 11th Congress of the European Society for Research in Mathematics Education. Utrecht, the Netherlands. Available at https://hal.archives-ouvertes.fr/hal-02435330/document.
Tavory, I., & Timmermans, S. (2014). Abductive analysis: Theorizing qualitative research. University of Chicago Press.
Thomas, D. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237–246
Zazkis, R., & Koichu, B. (2018). Dialogues on dialogues: The use of classical dialogues in mathematics teacher education. In R. Zazkis & P. Herbst (Eds.), Mathematical dialogue: Scripting approaches in mathematics education research and practice. (pp. 365–387). Springer.
Acknowledgements
The study is partially supported by the Israeli Scientific Foundation, Grant No. 2699-17. We thank Jason Cooper and anonymous reviewers for their valuable suggestions following early drafts of the paper.
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Appendix: Illustration of the data analysis
Appendix: Illustration of the data analysis
We illustrate the coding processes based on two episodes (out of 11) from the work of Group 2, consisting of three students, A., B. and M.
In Episode 1, the students read the problem formulation and the solution narratives and attended to the central task question ‘who is right?’. A. quickly suggested that Hila’s solution was right because this was what she would have done herself (‘That’s it. I’d write, \(x\) is a kilogram of pears. As Hila wrote.’). B. and M. agreed with A. However, A. also suggested that Sofia’s solution was wrong, and this assertion launched a discussion. A. argued that Sofia’s approach was wrong by pointing out that it was based on ‘decreasing’ the initial price. This argument appeared to be unconvincing to M. A. attempted to formalize her argument by using algebraic tools. She asserted that the price of 1 kg of apples plus the price of 1 kg of pears in Hila’s approach and in Sofia’s approach were different (\(2.25x\) for Hila and \(1.75x\) for Sofia). B. opposed A. without entering deeply into what A. had said, and suggested her own line of exploration in Episode 2 (Fig. 4).
As for strategies, a change in strategy, from exploring the solution narratives (F-ESN) to independently solving the problem (F-ISP), was inferred for A. and B., whereas M. was likely to be still captured by exploring the solution-narratives (F-ESN) strategy (# 27). B.’s question at the end of the episode (# 37) suggests that her numerical example was aimed at addressing the question ‘why is Sofia’s solution wrong?’ This question differs from Episode 1′s central question ‘who is right and why?’.
In terms of dialogical moves, B. introduced her own ideas starting in #24. Note that she alternated between disclosing her line of thought (D-SD) and requesting her peers to respond by using rhetorical questions (D-RR-RQ). Both A. and M. followed B.’s argument, as reflected in the frequent appearance of the ‘other-oriented’ (D-OO) group of codes. Note the difference between a simple agreement move (D-OO-SA) by B. in #28, and a reasoned agreement move (D-OO-RA) by A. in #30.
Regarding mathematical resources enacted, an R-AF code (self-produced arithmetic/algebraic facts) was assigned to most of the conversational turns in Episode 2. An additional resource, an analogy to differ-by-percent problems (R-AP-DP, #31) was employed only by B.
In Episode 3 (Fig. 5), the group continued to explore the ‘why is Sofia’s solution wrong?’ question. What had been a peripheral strategy in Episode 2 became a central strategy in Episode 3. M., who had taken the lead, continued exploring the solution narratives (F-ESN). She suggested that Hila’s referent for 25% is correct and Sofia’s referent is wrong, but B. opposed her. In response, M. modified her argument and, in addition to attending to the role of the word ‘of’ as a clue (R-RB-OF), resorted to an analogy with differ-by-percent problems (R-AP-DP).
The students were attentive to each other’s ideas in Episodes 2–3 (operationally, the D-OO codes were relatively frequent).
The sequence of two episodes is illustrative of the following phenomenon: an opposition to an incomplete or not-understood argument results in an attempted elaboration of the argument by repetition and enactment of additional resources. In this way, a resource that had been peripheral for a while could be put forward again. Simultaneously, a resource, which was central in one episode (i.e., R-AF in Episode 2) could be ‘forgotten’. Realization that none of the employed resources led to an unequivocal resolution of the question under exploration may lead to enactment of additional resources, but up to some saturation point. At that point the ‘forgotten’ resources can come into play again, sometimes in a slightly modified way.
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Koichu, B., Parasha, R. & Tabach, M. Who-Is-Right tasks as a means for supporting collective looking-back practices. ZDM Mathematics Education 53, 831–846 (2021). https://doi.org/10.1007/s11858-021-01264-z
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DOI: https://doi.org/10.1007/s11858-021-01264-z




