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Why Are Learning and Teaching Mathematics So Difficult?

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Handbook of Cognitive Mathematics

Abstract

Decades ago Hans Freudenthal referred to the school mathematics experienced by most students as the “fossilized remains” of reasoning processes. Indeed, the facts and procedures of school mathematics may seem as frightening to some as the fossilized remains of a tyrannosaurus rex, although they are empty; like dinosaur skeletons, they bear only partial resemblance to the real thing. The challenge is to see the substance behind the structure and to understand how the mathematics fits together. That is a matter of mathematical thinking, reasoning, and problem-solving – the how and the why beneath the fossilized surface. Opportunities for such understandings are accessible through mathematical sense making, but they are rare in schools. This chapter indicates that there is more to learning and understanding mathematical content and practices than it would appear. Moreover, understanding mathematics is only one component of effective or “ambitious” teaching – better framed as the creation of mathematically rich and equitable learning environments. The challenge is to create robust learning environments that support every student in developing not only the knowledge and practices that underlie effective mathematical thinking, but that help them develop the sense of agency to engage in sense making. This implicates issues of race and equity, which are a challenge not only in classrooms but in society at large; structural and social inequities permeate the schools. Major obstacles to addressing the challenges of powerful mathematics within schools include a general absence of curricular support for rich and meaningful mathematics, instructional practices that do not invite students into mathematics, assessments that fail to focus on thinking, professional development that focuses on what the teacher does rather than the students’ learning opportunities and experiences, and a vastly inequitable cultural context both outside and inside schools. This chapter points to existence proofs that at least some these challenges can be addressed, while documenting the substantial challenges to making progress at scale.

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References

  • American Association of University Women. (1992). How schools shortchange girls. Washington, AAUW and NEA.

    Google Scholar 

  • Bang, M., & Medin, D. (2010). Cultural processes in science education: Supporting the navigation of multiple epistemologies. Science Education, 94(6), 1008–1026. https://doi.org/10.1002/sce.20392

    Article  Google Scholar 

  • Bell, A. (1993). Some experiments in diagnostic teaching. Educational Studies in Mathematics, 24, 115–137.

    Article  Google Scholar 

  • Birks, D. (1987). Reflections: A diagnostic teaching experiment. University of Nottingham.

    Google Scholar 

  • Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education, 5(1), 7–74.

    Google Scholar 

  • Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. David McKay Company.

    Google Scholar 

  • Brown, A. (1978). Knowing when, where, and how to remember: A problem of metacognition. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 1, pp. 77–165). Erlbaum.

    Google Scholar 

  • Burkhardt, H., & Schoenfeld, A. H. (2019). Formative assessment in mathematics. In R. Bennett, H. Andrade, & G. Cizek (Eds.), Handbook of formative assessment in the disciplines (pp. 35–67). Routledge. ISBN 9781138054363.

    Chapter  Google Scholar 

  • Civil, M. (2007). Building on community knowledge: An avenue to equity in mathematics education. In N. S. Nasir & P. Cobb (Eds.), Improving access to mathematics. Teachers College Press.

    Google Scholar 

  • Cohen, E. G., Lotan, R. A., Scarloss, B. A., & Arellano, A. R. (1999). Complex instruction: Equity in cooperative learning classrooms. Theory Into Practice, 38(2), 80–86. https://doi.org/10.1080/00405849909543836

    Article  Google Scholar 

  • Common Core State Standards Initiative. (2010). http://www.corestandards.org/. See specifically the Common Core State Standards for Mathematics. http://www.corestandards.org/Math/

  • D’Ambrosio, B., Frankenstein, M., Gutiérrez, R., Kastberg, S., Martin, D. B., Moschovich, J., Taylor, E., & Barnes, D. (2013). Addressing racism. Journal for Research in Mathematics Education, 44(1), 23–36.

    Article  Google Scholar 

  • Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017). Effective teacher professional development. Learning Policy Institute.

    Book  Google Scholar 

  • Davis, J., & Martin, D. M. (2008). Racism, assessment, and instructional practices: Implications for mathematics teachers of African American students. Journal of Urban Mathematics Education, 1(1), 10–34.

    Google Scholar 

  • Devlin, K. (2000). The math gene. Basic Books.

    MATH  Google Scholar 

  • DiSessa, A. A. (1993). Toward an epistemology of physics. Cognition and Instruction, 10(2–3), 105–225.

    Article  Google Scholar 

  • Edsource. (2020). Oakland unified opens virtually with thousands of students lacking computers and hotspots. https://edsource.org/2020/oakland-unified-opens-virtually-with-thousands-of-students-lacking-computers-and-hotspots/638140

  • Elby, A., & Hammer, D. (2010). Epistemological resources and framing: A cognitive framework for helping teachers interpret and respond to their students’ epistemologies. In L. D. Bendixen & F. C. Feucht (Eds.), Personal epistemology in the classroom: Theory, research, and implications for practice (pp. 409–434). Cambridge University Press. https://doi.org/10.1017/CBO9780511691904.013

    Chapter  Google Scholar 

  • Engle, R. A. (2011). The productive disciplinary engagement framework: Origins, key concepts, and continuing developments. In D. Y. Dai (Ed.), Design research on learning and thinking in educational settings: Enhancing intellectual growth and functioning (pp. 161–200) London, Taylor and Francis.

    Google Scholar 

  • Engle, R. A., & Conant, F. R. (2002). Guiding principles for fostering productive disciplinary engagement: Explaining an emergent argument in a community of learners classroom. Cognition and. Instruction, 20(4), 399–483.

    Article  Google Scholar 

  • Freudenthal, H. (1973). Mathematics as an educational task. Reidel.

    MATH  Google Scholar 

  • Gee, J. (2014). An introduction to discourse analysis (4th ed.). Routledge.

    Book  Google Scholar 

  • Gitomer, D., & Bell, C. (Eds). (2016). Handbook of research on teaching, Fifth Edition. Washington, AERA.

    Google Scholar 

  • Gresalfi, M., Martin, T., Hand, V., & Greeno, J. (2009). Constructing competence: An analysis of student participation in the activity systems of mathematics classrooms. Educational Studies in Mathematics, 70(1), 49–70. https://doi.org/10.1007/s10649-008-9141-5

    Article  Google Scholar 

  • Gutiérrez, R. (2008). A “gap gazing” fetish in mathematics education? Problematizing research on the achievement gap. Journal for Research in Mathematics Education, 39(4), 357–364.

    Article  Google Scholar 

  • Gutstein, E. (2006). Reading and writing the world with mathematics: Toward a pedagogy for social justice. Taylor & Francis.

    MATH  Google Scholar 

  • Gutstein, E., & Peterson, B. (Eds.). (2005). Rethinking mathematics: Teaching social justice by the numbers. Rethinking Schools.

    Google Scholar 

  • Henningsen, M., & Stein, M. K. (1997). Mathematical tasks and student cognition: Classroom-based factors that support and inhibit high-level mathematical thinking and reasoning. Journal for Research in Mathematics Education, 28(5), 524–549.

    Article  Google Scholar 

  • Herbel-Eisenmann, B. A., Wagner, D., Johnson, K. R., Suh, H., & Figueras, H. (2015). Positioning in mathematics education: Revelations on an imported theory. Educational Studies in Mathematics, 89(2), 185–204.

    Article  Google Scholar 

  • Horn, I. S. (2007). Strength in numbers: Collaborative learning in secondary mathematics. NCTM.

    Google Scholar 

  • Institute for research on learning. (2011). Accountable talk. Downloaded November 26, 2011 from http://ifl.lrdc.pitt.edu/ifl/index.php/resources/principles_of_learning/

  • Kozol, J. (1992). Savage inequalities. Harper Perennial.

    Google Scholar 

  • Ladson-Billings, G. (1994). The dreamkeepers: Successful teachers of African-American children. Jossey-Bass.

    Google Scholar 

  • Lampert, M. (1990). When the problem is not the question and the solution is not the answer: Mathematical knowing and teaching. American Educational Research Journal, 27(1), 29–63.

    Article  Google Scholar 

  • Lee, J. (2002). Racial and ethnic achievement gap trends: Reversing the Progress toward equity? Educational Researcher, 31(1), 3–12. https://doi.org/10.3102/0013189X031001003

    Article  Google Scholar 

  • Lee, C. (2016). Influences of the experience of race as a lens for understanding variation in displays of competence in Reading comprehension. In P. Afflerbach (Ed.), Handbook of individual differences in reading (pp. 286–304). Routledge.

    Google Scholar 

  • Louie, N. (2019). Agency discourse and the reproduction of hierarchy in mathematics instruction. Cognition and Instruction, 38(1), 1–26. https://doi.org/10.1080/07370008.2019.1677664

    Article  Google Scholar 

  • Martin, D. B. (2009). Researching race in mathematics education. Teachers College Record, 111(2), 295–338.

    Article  Google Scholar 

  • Mason, J., Burton, L., & Stacey, K. (1982). Thinking mathematically. Addison-Wesley Publishing Limited.

    MATH  Google Scholar 

  • Mathematics Assessment Project. (2020). Formative assessment lessons. https://www.map.mathshell.org/

  • McDermott, R. P. (1996). The acquisition of a child by a learning disability. In S. Chaiklin & J. Lave (Eds.), Understanding practice: Perspectives on activity and context (pp. 269–305). Cambridge University Press.

    Google Scholar 

  • Moses, R. P. (2001). Radical equations: Math literacy and civil rights. Beacon Press.

    Google Scholar 

  • Nasir, N., Cabana, C., Shreve, B., Woodbury, E., & Louie, N. (Eds.). (2014). Mathematics for equity: A framework for successful practice. National Council of Teachers of Mathematics.

    Google Scholar 

  • Nasir, N., & Shah, N. (2011). On defense: African American males making sense of racialized narratives in mathematics education. Journal of African American Males in Education, 2(1), 24–45.

    Google Scholar 

  • National Commission on Excellence in Education. (1983). A nation at risk: The imperative for educational reform. Washington, U.S. Government printing office.

    Google Scholar 

  • National Council of Teachers of Mathematics. (1980). An agenda for action. NCTM.

    Google Scholar 

  • National Council of Teachers of Mathematics. (1989). Curriculum and evaluation standards for school mathematics. NCTM.

    Google Scholar 

  • National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Author.

    Google Scholar 

  • National Research Council. (1989). Everybody counts: A report to the nation on the future of mathematics education. National Academy Press.

    Google Scholar 

  • National Research Council. (2001). Adding it up: Helping children learn mathematics. In J. Kilpatrick, J. Swafford, & B. Findell (Eds.), Mathematics learning study committee, Center for Education, division of behavioral and social sciences and education. National Academy Press.

    Google Scholar 

  • Orfield, G., & Eaton, S. (1996). Dismantling desegregation: The quiet reversal of Brown v. Board of Education. The New Press.

    Google Scholar 

  • Pólya, G. (1945). How to solve it. Princeton. 2nd edition, 1957.

    Book  MATH  Google Scholar 

  • Pólya, G. (1954). Mathematics and plausible reasoning (Volume 1, Induction and analogy in mathematics; Volume 2, Patterns of plausible inference). Princeton University Press.

    Book  MATH  Google Scholar 

  • Pólya, G. (1962, 1965/1981). Mathematical discovery (Volume 1, 1962; Volume 2, 1965). Princeton University Press. Combined paperback edition, 1981. Wiley.

    Google Scholar 

  • Putnam, R. T. (1987). Structuring and adjusting content for students: A study of live and simulated lecturing of addition. American Educational Research Journal, 24, 13–48.

    Article  Google Scholar 

  • Putnam, R. T. (2003). Commentary on four elementary mathematics curricula. In S. Senk & D. Thompson (Eds.), Standards-oriented school mathematics curricula: What does the research say about student outcomes? (pp. 161–178). Erlbaum.

    Google Scholar 

  • Rosebery, A., Ogonowski, M. DiSchino, M., & Warren, B. (2010). The coat traps all your body heat: Heterogeneity as fundamental to learning. Journal of the Learning Sciences, 19(3), 322–357.

    Google Scholar 

  • Ryan, K. (1986). The induction of new teachers. Bloomington, Phi Delta Kappa.

    Google Scholar 

  • Schoenfeld, A. (1985). Mathematical problem solving. Academic Press.

    MATH  Google Scholar 

  • Schoenfeld, A. H. (1987). What’s all the fuss about metacognition? In A. Schoenfeld (Ed.), Cognitive science and mathematics education (pp. 189–215). Erlbaum.

    Google Scholar 

  • Schoenfeld, A. H. (1988). When good teaching leads to bad results: The disasters of well taught mathematics classes. Educational Psychologist, 23(2), 145–166.

    Google Scholar 

  • Schoenfeld, A. H. (1992). Learning to think mathematically: Problem solving, metacognition, and sense-making in mathematics. In D. Grouws (Ed.), Handbook for research on mathematics teaching and learning, (pp. 334–370). New York, MacMillan.

    Google Scholar 

  • Schoenfeld, A. H. (2002). Making mathematics work for all children: Issues of standards, testing, and equity. Educational Researcher, 31(1), 13–25.

    Article  Google Scholar 

  • Schoenfeld, A. H. (2004). The math wars. Educational Policy, 18(1), 253–286.

    Article  Google Scholar 

  • Schoenfeld, A. H. (2014). What makes for powerful classrooms, and how can we support teachers in creating them? Educational Researcher, 43(8), 404–412. https://doi.org/10.3102/0013189X1455

    Article  Google Scholar 

  • Schoenfeld, A. H. (2017). Teaching for robust understanding of essential mathematics. In T. McDougal (Ed.), Essential mathematics for the next generation: What and how students should learn (pp. 104–129). Tokyo Gagukei University.

    Google Scholar 

  • Schoenfeld, A. H. (2020). Reframing teacher knowledge: A research and development agenda. ZDM, 52(2), 359–376. https://doi.org/10.1007/s11858-019-01057-5

    Article  Google Scholar 

  • Sengupta-Irving, T., & Vossoughi, S. (2019). Not in their name: Re-interpreting discourses of STEM learning through the subjective experiences of minoritized girls. Race Ethnicity and Education, 22(4), 479–501.

    Article  Google Scholar 

  • Shah, N. (2017). Race, ideology, and academic ability: A relational analysis of racial narratives in mathematics. Teachers College Record, 119(7), 1–42.

    Google Scholar 

  • Stanic, G. (1987). Mathematics education in the United States at the beginning of the twentieth century. In T. S. Popkewitz (Ed.), The formation of school subjects: The struggle for creating an American institution (pp. 147–183). Falmer Press.

    Google Scholar 

  • Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 797–811. https://doi.org/10.1037/0022-3514.69.5.797

    Article  Google Scholar 

  • Stein, M.K. & Smith, M.S. (1998). Mathematical tasks as a framework for reflection. Mathematics Teaching in the Middle School, 3, 268–275.

    Google Scholar 

  • Swan, M. (2006). Collaborative learning in mathematics: A challenge to our beliefs and practices. National Institute for Advanced and Continuing Education (NIACE) for the National Research and Development Centre for Adult Literacy and Numeracy (NRDC).

    MATH  Google Scholar 

  • Todd, P. E., & Wolpin, K. I. (2006). The production of cognitive achievement in children: Home, school, and racial test score gaps. Journal of Human Capital, 1(1), 91–136. https://doi.org/10.1086/526401. https://www.jstor.com/stable/10.1086/526401

    Article  Google Scholar 

  • US Department of Education. (2020). Facts about Teaching. https://www2.ed.gov/documents/respect/teaching-profession-facts.doc

  • U.S. News. (2020). https://www.usnews.com/news/us/articles/2020-08-20/teachers-could-stay-in-classroom-if-exposed-to-COVID-19

  • Urban Institute. (2020). https://www.urban.org/features/structural-racism-america

  • Vygotsky, L. S. (1986). Thought and language (A. Kozulin, Trans.). MIT Press. (Original work published 1934).

    Google Scholar 

  • Webb, N. (2002). Depth-of-knowledge levels for four content areas. Retrieved April 1, 20105 from http://schools.nyc.gov/NR/rdonlyres/2711181C-2108-40C4-A7F8-76F243C9B910/0/DOKFourContentAreas.pdf

  • Wenger, E. (1998). Communities of practice: Learning, meaning and identity. Cambridge University Press.

    Book  Google Scholar 

  • Wilkerson, I. (2020). Caste. Random House.

    Google Scholar 

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Acknowledgments

This chapter was produced with support from the US National Science Foundation Grant 1503454, “TRUmath and Lesson Study: Supporting Fundamental and Sustainable Improvement in High School Mathematics Teaching,” a partnership between the Oakland Unified School District, Mills College, the SERP Institute, and the University of California at Berkeley. It has profited immensely from comments by Abraham Arcavi, Hugh Burkhardt, Diana Casanova, Gabriel Davis, Heather Fink, Vicki Hand, Nicole Louie, Dragana Martinovic, Sandra Zuñiga Ruiz, Alyssa Sayavedra, Xinyu Wei, and Anna Weltman.

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Correspondence to Alan H. Schoenfeld .

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Schoenfeld, A.H. (2022). Why Are Learning and Teaching Mathematics So Difficult?. In: Danesi, M. (eds) Handbook of Cognitive Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-030-44982-7_10-1

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