Abstract
In this study, we explored the relationship between prospective teachers’ algebraic thinking and the questions they posed during one-on-one diagnostic interviews that focused on investigating the algebraic thinking of middle school students. To do so, we evaluated prospective teachers’ algebraic thinking proficiency across 125 algebra-based tasks and we analyzed the characteristics of questions they posed during the interviews. We found that prospective teachers with lower algebraic thinking proficiency did not ask any probing questions. Instead, they either posed questions that simply accepted and affirmed student responses or posed questions that guided the students toward an answer without probing student thinking. In contrast, prospective teachers with higher algebraic thinking proficiency were able to pose probing questions to investigate student thinking or help students clarify their thinking. However, less than half of their questions were of this probing type. These results suggest that prospective teachers’ algebraic thinking proficiency is related to the types of questions they ask to explore the algebraic thinking of students. Implications for mathematics teacher education are discussed.
Similar content being viewed by others
References
Ball, D. L. (1990). The mathematical understanding that prospective teachers bring to teacher education. Elementary School Journal, 90(4), 449–466.
Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching mathematics: What makes it special? Journal of Teacher Education, 59(5), 389–407.
Baumert, J., & Kunter, M. (2013). The COACTIV model of teacher’ professional competence. In M. Kunter, J. Baumert, W. Blum, U. Klusman, S. Krauss, & M. Neubrand (Eds.), Cognitive activation in the mathematics classroom and professional competence of teachers (pp. 25–48). New York: Springer.
Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A., et al. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Educational Research Journal, 47(1), 133–180.
Beckmann, S. (2007). Mathematics for elementary teachers. Boston, MA: Pearson Addison Wesley.
Borko, H., & Putnam, R. T. (1996). Learning to teach. In R. Calfee & D. Berliner (Eds.), Handbook of educational psychology (pp. 673–725). New York: Macmillan.
Buschman, L. (2001). Using student interviews to guide classroom instruction: An action research project. Teaching Children Mathematics, 8(4), 222–227.
Carpenter, T. P., Fennema, E., Franke, M. L., Levi, L., & Empson, S. B. (2000). Cognitively guided instruction: A research-based teacher professional development program for elementary school mathematics. National Center for Improving Student Learning and Achievement in Mathematics and Science, Report No. 003. Madison, WI: Wisconsin Center for Education Research, The University of Wisconsin-Madison.
Carraher, D., & Schliemann, A. (2007). Early Algebra. In F. K. Lester Jr (Ed.), Second handbook of research on mathematics teaching and learning (pp. 669–705). Charlotte, NC: Information Age.
Castro, B. (2004). Pre-service teachers’ mathematical reasoning as an imperative for codified conceptual pedagogy in Algebra: A case study of teacher education. Asia Pacific Education Review, 15(2), 157–166.
Clarke, B. (2008). A framework of growth points as a powerful teacher development tool. In D. Tirosh & T. Wood (Eds.), International handbook of mathematics teacher education: Vol. 2. Tools and processes in mathematics teacher education (pp. 235–256). Rotterdam, The Netherlands: Sense Publishers.
Cuoco, A., Goldenberg, P., & Mark, J. (1996). Habits of mind: An organizing principle for mathematics curriculum. Journal of Mathematical Behavior, 15(4), 375–402.
Common Core State Standards Initiative. (2010). Common core state standards for mathematics. Washington, DC: National Governors Association Center for Best Practices and the Council of Chief State School Officers. Retrieved on April 15, 2011 from http://www.corestandards.org/assets/CCSSI_Math%20Standards.pdf.
Doerr, H. M. (2006). Examining the tasks of teaching when using students’ mathematical thinking. Educational Studies in Mathematics, 62, 3–24.
Driscoll, M. (1999). Fostering algebraic thinking. A guide for teachers grades (pp. 6–10). Portsmouth, NH: Heinemann.
Driscoll, M. (2001). The fostering of algebraic thinking toolkit. Introduction and analyzing written student work. Portsmouth, NH: Heinemann.
Educational Development Center. (2008). Building algebraic thinking through pattern, function, and number. Retrieved on January 10, 2009 from http://www2.edc.org/edc-research/curriki/role/lc/resources/resources.htm.
Fennema, E., Carpenter, T. P., Franke, M. L., Levi, L., Jacobs, V. R., & Empson, S. B. (1996). Mathematics instruction and teachers’ beliefs: A longitudinal study of using children’s thinking. Journal for Research in Mathematics Education, 27(4), 403–434.
Franke, M. L., Webb, N. M., Chan, A. G., Ing, M., Freund, D., & Battey, D. (2009). Teacher questioning to elicit students’ mathematical thinking in elementary school classrooms. Journal of Teacher Education, 60(4), 380–392.
Grossman, P. L., & Richert, A. E. (1988). Unacknowledged knowledge growth: A re-examination of the effects of teacher education. Teaching and Teacher Education, 4(1), 53–62.
Grouws, D. A. (Ed.). (1992). Handbook of research on mathematics teaching and learning. New York: Macmillan.
Harrop, A., & Swinson, J. (2003). Teachers questions in the infant, junior, and secondary school. Educational Studies, 29(1), 49–57.
Herbal-Eisenmann, B. A., & Breyfogle, M. L. (2005). Questioning our patterns of questioning. Mathematics Teaching in the Middle School, 10(9), 484–489.
Hill, H. C., Rowan, B., & Ball, D. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American Education Research Journal, 42(2), 371–406.
Jacobs, V. R., Franke, M. L., Carpenter, T. P., Levi, L., & Battey, D. (2007). Professional development focused on children’s algebraic reasoning in elementary school. Journal for Research in Mathematics Education, 38(3), 258–288.
Kaput, J., & Blanton, M. (2005). Algebraifying the elementary mathematics experience in a teacher-centered, systemic way. In T. Romberg, T. Carpenter, & F. Dremock (Eds.), Understanding mathematics and science matters (pp. 99–125). Mahwah, NJ: Lawrence Erlbaum Associates.
Kazemi, E., & Stipek, D. (2001). Promoting conceptual thinking in four upper-elementary mathematics classrooms. The Elementary School Journal, 102(1), 59–80.
Kieran, C. (1996). The changing face of school algebra. In C. Alsina, J. Alverez, B. Hodgson, C. Mason, J. (2000). Asking mathematical questions mathematically. International Journal of Education in Science and Technology, 31(1), 97–111.
Kieran, C. (2004). Algebraic thinking in the early grades: What is it? The Mathematics Educator, 8(1), 139–151.
Kieran, C., & Chalouh, L. (1993). Prealgebra: The transition from arithmetic to algebra. In D. T. Owens (Ed.), Research ideas for the classroom: Middle grades mathematics (pp. 179–198). New York, NY: Macmillan.
Kilpatrick, J., Swafford, J., & Findell, B. (Eds.). (2001). Adding it up: Helping children learn mathematics. Washington, DC: National Academy Press.
Kunter, M., Baumert, J., Blum, W., Klusmann, T., Krauss, S., & Neubrand, M. (Eds.). (2013). Cognitive activation in the mathematics classroom and professional competence of teachers. New York, NY: Springer.
Lester, F. K., Jr (Ed.). (2007). Second handbook of research on mathematics teaching and learning. Charlotte, NC: Information Age.
Ma, L. (1999). Knowing and teaching elementary mathematics: Teachers’ understanding of fundamental mathematics in China and the United States. Mahwah, NJ: Erlbaum.
McDonough, A., Clarke, B., & Clarke, D. (2002). Understanding, assessing, and developing children’s mathematical thinking: The power of a one-to-one interview for preservice teachers in providing insights into appropriate pedagogical practices. International Journal of Educational Research, 37(2), 211–226.
Mewborn, D. (2003). Teaching, teachers’ knowledge, and their professional development. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), Research companion to principles and standards for school mathematics (pp. 45–52). Reston, VA: NCTM.
Mewborn, D., & Huberty, P. D. (1999). Questioning your way to the standards. Teaching Children Mathematics, 6(4), 226–227, 243–246.
Morris, A. K. (2010). Factors affecting pre-service teachers’ evaluations of the validity of students’ mathematical arguments in classroom contexts. Cognition and Instruction, 25(4), 479–522.
Moyer, P. S., & Milewicz, E. (2002). Learning to question: Categories of questioning used by preservice teachers during diagnostic mathematics interviews. Journal of Mathematics Teacher Education, 5(4), 293–315.
National Council of Teachers of Mathematics. (1991). Professional standards for teaching mathematics. Reston, VA: Author.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.
National Mathematics Advisory Panel. (2008). The foundations for success. Retrieved January 12, 2009 from http://www.ed.gov/about/bdscomm/list/mathpanel/report/final-report.pdf.
National Research Council. (2001). Knowing and learning mathematics for teaching. Proceedings of a workshop. Washington, DC: National Academy Press.
Nicol, C. (1999). Learning to teach mathematics: Questioning, listening, and responding. Educational Studies in Mathematics, 37(1), 45–66.
Philipp, R., Ambrose, R., Lamb, L., Sowder, J., Schappelle, B., Sowder, L., et al. (2007). Effects of early field experiences on the mathematical content knowledge and beliefs of prospective elementary school teachers: An experimental study. Journal for Research in Mathematics Education, 38(5), 438–476.
Sahin, A., & Kulm, G. (2008). Sixth grade mathematics teachers’ intentions and use of probing, guiding, and factual questions. Journal of Mathematics Teacher Education, 11(3), 221–241.
Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.
Sowder, J. T. (2007). The mathematics education and development of teachers. In F. K. Lester Jr (Ed.), Second handbook of research on mathematics teaching and learning (pp. 157–223). Charlotte, NC: Informational Age.
Sowder, J. T., & Schappelle, B. (Eds.). (1995). Providing a foundation for teaching mathematics in the middle grades. Albany: State University of New York Press.
Swafford, J. O., & Langrall, C. W. (2000). Grade 6 students’ preinstructional use of equations to describe and represent problem situations. Journal for Research in Mathematics Education, 31(1), 89–112.
Tatto, M. T., Schwille, J., Senk, S., Ingvarson, L., Peck, R., & Rowley, G. (2008). Teacher education and development study in mathematics (TEDS-M): Policy, practice, and readiness to teach primary and secondary mathematics. Conceptual framework. East Lansing, MI: Teacher Education and Development International Study Center, College of Education, Michigan State University.
Vacc, N. N. (1993). Questioning in the mathematics classroom. Arithmetic Teacher, 41, 88–91.
Van Dooren, W., Verschaffel, L., & Onghena, P. (2002). The impact of preservice teachers’ content knowledge on their evaluation of students’ strategies for solving arithmetic and algebra word problems. Journal for Research in Mathematics Education, 33(5), 319–351.
Winne, P. H. (1979). Experiments relating teacher’ use of higher order cognitive questions to student achievement. Review of Educational Research, 49(1), 13–50.
Author information
Authors and Affiliations
Corresponding author
Appendices
Appendix 1: Debriefing interview questions
-
1.
What questions did you pose for your student during your first interview?
-
2.
Why did you ask these questions?
-
3.
How did the student react to the questions you posed?
-
4.
Thinking about your interview experience, what questions do you wish you had asked the student during the first interview? Why?
-
5.
Would you change the way you questioned your student? Why or why not?
-
6.
Are there any questions you would like to include in your second interview? Why?
Appendix 2: Rubric for assessing prospective teachers’ use of Building Rules to Represent Functions
Not Evident (1) | Emerging (2) | Proficient (3) | |
---|---|---|---|
Organizing Information | The solution does not indicate that the prospective teacher organized the information in the problem in a way that is useful for discovering the underlying patterns and relationships | The solution indicates that the prospective teacher organized the information in the problem in a way that is useful for discovering the underlying patterns and relationships; BUT, the organizational scheme used is not explicitly connected to the context of the problem (e.g., problem information is organized in a table but table entries are not contextualized, i.e., their meaning explained with links to the context of the problem) | The solution indicates that the prospective teacher organized the information in the problem in a way that is useful for discovering underlying patterns and relationships; AND, the organizational scheme used is explicitly connected to the context of the problem (e.g., uses a table to organize information in the problem and clearly relates table entries to the context of the problem) |
Predicting Patterns | The solution does not indicate the prospective teacher’s understanding of how the pattern works; OR, the pattern is identified incorrectly | The solution indicates the prospective teacher’s understanding of how the pattern works (e.g., terms beyond the perceptual field are identified correctly, explicit or recursive rule that describes the pattern is correct); BUT, the pattern or discovered regularities are not explicitly connected to the context of the problem | The solution indicates the prospective teacher’s understanding of how the pattern works (e.g., terms beyond the perceptual field are identified correctly, explicit or recursive rule that describes the pattern is correct); AND, the pattern or discovered regularities are explicitly connected to the context of the problem |
Chunking Information | The solution does not indicate that the prospective teacher identified repeated chunks of information that explain how the pattern works, OR repeated chunks of information in the pattern are identified incorrectly | The solution indicates that the prospective teacher identified repeated chunks of information to explain how the pattern works; BUT, the identified repeated chunks are not explicitly connected to the context of the problem | The solution indicates that the prospective teacher identified repeated chunks of information that explain how the pattern works; AND, the identified repeated chunks of information are explicitly connected to the context of the problem |
Describe a rule | The solution does not indicate that the prospective teacher identified and described the steps of a rule through which the relationship embedded in the problem can be represented | The solution indicates that the prospective teacher described the rule (verbal or symbolic) to represent the uncovered relationship; BUT the rule is not explicitly connected to the context of the problem | The solution indicates that the prospective teacher described the rule (verbal or symbolic) to represent the uncovered relationship; AND, the rule is explicitly connected to the context of the problem |
Different Representations | The solution does not indicate that the prospective teachers used different verbal, numerical, graphical, or algebraic representations to uncover different information about the problem | The solution indicates that the prospective teacher used Different Representations (e.g., verbal, numerical graphical, or algebraic) to uncover and explore information embedded in the problem; BUT, the representations used are not explicitly connected to the context of the problem (e.g., uses a list of numbers without contextualizing their meaning) | The solution indicates that the prospective teacher used Different Representations (e.g., verbal, numerical graphical, or algebraic) to uncover and explore information embedded in the problem; AND, the representations used are explicitly connected to the context of the problem |
Describing Change | The solution does not indicate that the prospective teacher considered change in a process or relationship as a function of the relationship between variables in the problem, i.e., change in the input variable with respect to the change in the output variable | The solution indicates that the prospective teacher described the change in a process or relationship as a function of the relationship between variables in the problem, (i.e., change in the input variable with respect to the change in the output variable); BUT the described change is not explicitly connected to the context of the problem | The solution indicates that the prospective teacher described the change in a process or relationship as a function of the relationship between variables in the problem (i.e., change in the input variable with respect to the change in the output variable); AND, the described change is explicitly connected to the context of the problem |
Justifying a Rule | The solution does not indicate that the prospective teacher explained why the rule found in the problem works for any number | The solution indicates that the prospective teacher explained why the rule found in the problem works for any number. The justification is not explicitly connected to the context of the problem | The solution indicates that the prospective teacher explained why the rule found in the problem works for any number. The justification is explicitly connected to the context of the problem |
Rights and permissions
About this article
Cite this article
van den Kieboom, L.A., Magiera, M.T. & Moyer, J.C. Exploring the relationship between K-8 prospective teachers’ algebraic thinking proficiency and the questions they pose during diagnostic algebraic thinking interviews. J Math Teacher Educ 17, 429–461 (2014). https://doi.org/10.1007/s10857-013-9264-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10857-013-9264-1