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.
Keywords
- Ambitious instruction
- Bias
- Formative assessment
- Problem-solving
- Summative assessment
- Teaching for robust understanding
- Sense making
- Systemic inequities
- Thinking mathematically
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References
American Association of University Women. (1992). How schools shortchange girls. Washington, AAUW and NEA.
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
Bell, A. (1993). Some experiments in diagnostic teaching. Educational Studies in Mathematics, 24, 115–137.
Birks, D. (1987). Reflections: A diagnostic teaching experiment. University of Nottingham.
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education, 5(1), 7–74.
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.
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.
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.
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.
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
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.
Darling-Hammond, L., Hyler, M. E., & Gardner, M. (2017). Effective teacher professional development. Learning Policy Institute.
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.
Devlin, K. (2000). The math gene. Basic Books.
DiSessa, A. A. (1993). Toward an epistemology of physics. Cognition and Instruction, 10(2–3), 105–225.
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
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.
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.
Freudenthal, H. (1973). Mathematics as an educational task. Reidel.
Gee, J. (2014). An introduction to discourse analysis (4th ed.). Routledge.
Gitomer, D., & Bell, C. (Eds). (2016). Handbook of research on teaching, Fifth Edition. Washington, AERA.
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
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.
Gutstein, E. (2006). Reading and writing the world with mathematics: Toward a pedagogy for social justice. Taylor & Francis.
Gutstein, E., & Peterson, B. (Eds.). (2005). Rethinking mathematics: Teaching social justice by the numbers. Rethinking Schools.
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.
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.
Horn, I. S. (2007). Strength in numbers: Collaborative learning in secondary mathematics. NCTM.
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.
Ladson-Billings, G. (1994). The dreamkeepers: Successful teachers of African-American children. Jossey-Bass.
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.
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
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.
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
Martin, D. B. (2009). Researching race in mathematics education. Teachers College Record, 111(2), 295–338.
Mason, J., Burton, L., & Stacey, K. (1982). Thinking mathematically. Addison-Wesley Publishing Limited.
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.
Moses, R. P. (2001). Radical equations: Math literacy and civil rights. Beacon Press.
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.
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.
National Commission on Excellence in Education. (1983). A nation at risk: The imperative for educational reform. Washington, U.S. Government printing office.
National Council of Teachers of Mathematics. (1980). An agenda for action. NCTM.
National Council of Teachers of Mathematics. (1989). Curriculum and evaluation standards for school mathematics. NCTM.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Author.
National Research Council. (1989). Everybody counts: A report to the nation on the future of mathematics education. National Academy Press.
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.
Orfield, G., & Eaton, S. (1996). Dismantling desegregation: The quiet reversal of Brown v. Board of Education. The New Press.
Pólya, G. (1945). How to solve it. Princeton. 2nd edition, 1957.
Pólya, G. (1954). Mathematics and plausible reasoning (Volume 1, Induction and analogy in mathematics; Volume 2, Patterns of plausible inference). Princeton University Press.
Pólya, G. (1962, 1965/1981). Mathematical discovery (Volume 1, 1962; Volume 2, 1965). Princeton University Press. Combined paperback edition, 1981. Wiley.
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.
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.
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.
Ryan, K. (1986). The induction of new teachers. Bloomington, Phi Delta Kappa.
Schoenfeld, A. (1985). Mathematical problem solving. Academic Press.
Schoenfeld, A. H. (1987). What’s all the fuss about metacognition? In A. Schoenfeld (Ed.), Cognitive science and mathematics education (pp. 189–215). Erlbaum.
Schoenfeld, A. H. (1988). When good teaching leads to bad results: The disasters of well taught mathematics classes. Educational Psychologist, 23(2), 145–166.
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.
Schoenfeld, A. H. (2002). Making mathematics work for all children: Issues of standards, testing, and equity. Educational Researcher, 31(1), 13–25.
Schoenfeld, A. H. (2004). The math wars. Educational Policy, 18(1), 253–286.
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
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.
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
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.
Shah, N. (2017). Race, ideology, and academic ability: A relational analysis of racial narratives in mathematics. Teachers College Record, 119(7), 1–42.
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.
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
Stein, M.K. & Smith, M.S. (1998). Mathematical tasks as a framework for reflection. Mathematics Teaching in the Middle School, 3, 268–275.
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).
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
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).
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.
Wilkerson, I. (2020). Caste. Random House.
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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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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