Skip to main content
Log in

Learning trajectories: a framework for connecting standards with curriculum

  • Original Article
  • Published:
ZDM Aims and scope Submit manuscript

Abstract

Educational Standards provide a statement of educational competency goals. How to integrate such goal statements with the instructional core, in ways that promote curricular and instructional coherence and continuity of student learning, is a perennial challenge. In the United States, the Common Core State Standards for Mathematics, or CCSS-M, have been widely adopted, and are claimed to be based on research on learning in general and on learning trajectories in particular. The relationships, however, are tacit and incompletely, and sometimes controversially, articulated. This paper describes a body of work that associates the first nine grades of Standards (K-8) to eighteen learning trajectories and, for each learning trajectory, unpacks, interprets, and fills in the relationships to standards with the goal of bringing the relevant research to teachers (TurnOnCCMath.net). The connections are made using a set of descriptor elements, comprised of conceptual principles, coherent structural links, student strategies, mathematical distinctions or models, and bridging standards. A more detailed description of the learning trajectory for equipartitioning (EQP) shows the detailed research base on student learning that underpins a particular learning trajectory. How curriculum materials for EQP are designed from the learning trajectory completes the analysis, illustrating the rich connections possible among standards, descriptors, an elaborated learning trajectory, and related curricular materials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. Author Confrey served on the National Validation Committee for the Common Core State Standards. She analyzed drafts of the CCSS-M for alignment with the learning trajectories research base and provided corresponding feedback to the CCSS-M writers.

  2. Educators recognize the importance of prior knowledge and of identifying clear targets for learning. A major challenge, however, lies in identifying and evaluating intermediate states of proficiency and understanding their role in moving students forward in their thinking. To describe these intermediate states, teachers and researchers must recognize or invent meaningful distinctions; vocabulary terms for these tend to exhibit properties that are both cognitive and mathematical, such as partitive vs. quotative division, which later simply collapse to “division.” We refer to these as “meaningful distinctions.” In addition, “big ideas” (conceptual principles within a LT) may depend on earlier models corresponding to different schemes governing recognition of situations in the real world. These are typically captured as a “generalization” that encapsulates multiple meanings for experts, but tends to obscure the distinctions and models that students need to grapple with as they learn. Students need ample opportunity to explore such distinctions and models before moving to a generalization, to understand implications and adaptability of a generalization for its many referents and applications.

  3. Confrey (2009) introduced equipartitioning as a more general term for the operation of splitting, in which equal shares are produced. It is distinct from partitioning, which can refer to breaking or segmenting into unequal parts, such as a room partition.

  4. In our professional judgment, fractions and division should be instructionally related earlier than 5th grade. However, mutual accommodation of empirically derived LTs and LTs as Standards and descriptors required compromises. Nonetheless, we would recommend that teachers build the link earlier.

References

  • Barrett, J., Clements, D., Sarama, J., Cullen, C., McCool, J., Witkowski-Rumsey, C., et al. (2012). Evaluating and improving a learning trajectory for linear measurement in elementary grades 2 and 3: a longitudinal study. Mathematical Thinking and Learning, 14(1), 28–54.

    Article  Google Scholar 

  • Battista, M. T. (2007). The development of geometric and spatial thinking. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 843–908). Charlotte, NC: Information Age Publishing Inc.

    Google Scholar 

  • Blanton, M., & Knuth, E. (2012). Developing algebra-ready students for middle school: Exploring the impact of early algebra. Paper presented at the Project Poster presented at 2012 DRK-12 Principal Investigators Meeting, Washington, DC.

  • CCSSI (2010). Common Core State Standards for Mathematics, from http://www.corestandards.org/assets/CCSSI_MathStandards.pdf.

  • Charles, R. (2005). Big ideas and understandings as the foundation for elementary and middle school mathematics. Journal of Mathematics Education Leadership, 7(3), 9–24.

    Google Scholar 

  • Clements, D. H., Wilson, D. C., & Sarama, J. (2004). Young children’s composition of geometric figures: a learning trajectory. Mathematical Thinking and Learning, 6(2), 163–184.

    Article  Google Scholar 

  • Confrey, J. (1988).  Multiplication and splitting: Their role in understanding exponential functions. In Behr, M., Lacampagne, C. and Wheeler, M.M. (Eds.), Proceedings of the tenth annual meeting of the North American chapter of the International Group for the Psychology of Mathematics Education (PME-NA). Dekalb, Northern Illinois University, IL, pp. 250–259.

  • Confrey, J. (1990). A review of the research on student conceptions in mathematics, science and programming. In C. Cazden (Ed.), Review of research in education (Vol. 16, pp. 3–56).

  • Confrey, J. (2007). Tracing the evolution of mathematics content standards in the United States: Looking back and projecting forward. Conference on K-12 Mathematics Curriculum Standards. Washington, DC. February 5–6, 2007.

  • Confrey, J. (2008). Synthesis of the research on rational number reasoning. Plenary address to the XI International Congress in Mathematics Education. Monterrey, Mexico, July 7.

  • Confrey, J. (2011). Engineering [for] effectiveness in mathematics education: Intervention at the instructional core in an era of common core standards. Paper presented at the Highly Successful STEM Schools or Programs for K-12 STEM Education: A Workshop, Washington, DC.

  • Confrey, J. (2012). Articulating a Learning Sciences Foundation for Learning Trajectories in the CCSS-M. Paper presented at the Thirty-Fourth Annual Meeting of the North American Chapter of the Internationl Group for the Psychology of Mathematics Educaiton, Western Michigan University, Kalamazoo, MI.

  • Confrey, J., Hasse, E., Maloney, A. P., Nguyen, K. H., & Varela, S. (2011). Executive summary: Recommendations from the conference “Designing Technology-- Enabled Diagnostic Assessments for K-12 Mathematics.” North Carolina State University, Raleigh, NC, USA

  • Confrey, J., & Maloney, A. (2010). Defining and Implementing Learning Trajectories as Research Tools. Paper presented at the Research Presession of the Annual Meeting of the National Council of Teachers of Mathematics, San Diego, CA.

  • Confrey, J., & Maloney, A. P. (2012). Next generation digital classroom assessment based on learning trajectories in mathematics. In C. Dede & J. Richards (Eds.), Steps toward a digital teaching platform (pp. 134–152). New York: Teachers College Press.

    Google Scholar 

  • Confrey, J., Maloney, A., Nguyen, K. H., & Corley, A. K. (2012a). A Design Study of a Wireless Interactive Diagnostic System Based on a Mathematics Learning Trajectory. Paper presented at the Annual Meeting of the American Educational Research Association, Vancouver, BC, Canada.

  • Confrey, J., Maloney, A. P., Nguyen, K. H., Mojica, G., & Myers, M. (2009a). Equipartitioning/splitting as a foundation of rational number reasoning using learning trajectories. In Tzekaki, M., Kaldrimidou, M. & Sakonidis, H. (Eds.), Proceedings of the 33rd Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 345–352). Thessaloniki, Greece.

  • Confrey, J., Nguyen, K. H., Lee, K., Panorkou, N., Corley, A. K., & Maloney, A. P. (2012b). Turn-On Common Core Math: Learning Trajectories for the Common Core State Standards for Mathematics, from http://www.turnonccmath.net.

  • Confrey, J., & Scarano, G. H. (1995). Splitting reexamined: Results from a three-year longitudinal study of children in grades three to five. In Owens, D., Reed, M. and Millsaps, M. (Eds.), Proceedings of the Seventeenth Psychology of Mathematics Education-NA (Vol. 1, pp. 421–426). Columbus, OH

  • Confrey, J., Wilson, M., Penuel, W., Maloney, A. P., Draney, K., & Feldman, B. (2009b). Collaboration and the interplay among design, policy contexts, and rigor: Building valid, student-centered mathematics assessments. Paper presented at the annual meeting of the American Education Research Association, San Diego, CA.

  • Corley, A. K. (2013). A Design Study of Co-splitting as Situated in the Equipartitioning Learning Trajectory. (Ph.D. Doctoral), North Carolina State University.

  • Corley, A., Confrey, J. & Nguyen, K. (2012). The co-splitting construct: Student strategies and the relationship to equipartitioning and ratio. Paper presented at the Annual Meeting of the American Education Research Association, Vancouver, Canada.

  • Daro, P., Mosher, F. A., & Corcoran, T. (2011). Learning Trajectories in Mathematics: A Foundation for Standards, Curriculum, Assessment, and Instruction. Consortium for Policy Research in Education.

  • Devlin, K. (2008). Multiplication and Those Pesky British Spellings. Devlin’s Angle Retrieved October, 2010, from http://www.maa.org/devlin/devlin_09_08.html.

  • Hunting, R. P., & Sharpley, C. F. (1988). Fraction knowledge in preschool children. Journal for Research in Mathematics Education, 19(2), 175–180.

    Article  Google Scholar 

  • Kamii, C., & Russell, K. A. (2012). Elapsed time: why is it so difficult to teach? Journal for Research in Mathematics Education, 43(3), 296–315.

    Article  Google Scholar 

  • Leavy, A. M., & Middleton, J. A. (2011). Elementary and middle grade students’ constructions of typicality. Journal of Mathematical Behavior, 30(3), 235–254.

    Article  Google Scholar 

  • Lehrer, R., Kim, M.-J., & Schauble, L. (2007). Supporting the development of conceptions of statistics by engaging students in measuring and modeling variability. International Journal of Computers for Mathematical Learning, 12(3), 195–216.

    Article  Google Scholar 

  • McGatha, M., Cobb, P., & McClain, K. (2002). An analysis of students’ initial statistical understandings: developing a conjectured learning trajectory. Journal of Mathematical Behavior, 16(3), 339–355.

    Article  Google Scholar 

  • Pepper, K. L., & Hunting, R. P. (1998). Preschoolers’ Counting and Sharing. Journal for Research in Mathematics Education, 29(2), 164–183.

    Article  Google Scholar 

  • Piaget, J. (1970). Genetic epistemology. New York, NY: W.W. Norton & Company Inc.

    Google Scholar 

  • Pothier, Y., & Sawada, D. (1983). Partitioning: the emergence of rational number ideas in young children. Journal for Research in Mathematics Education, 14(5), 307–317.

    Article  Google Scholar 

  • Resnick, L. B., & Singer, J. A. (1993). Protoquantitative Origins of Ratio Reasoning. In T. P. Carpenter, E. Fennema, & T. A. Romberg (Eds.), Rational Numbers: An Integration of Research (pp. 231–246). Hillsdale: Lawrence Erlbaum.

    Google Scholar 

  • Star, S. L., & Griesemer, J. T. (1989). Institutional ecology, ‘translations’ and boundary objects: amateurs and professionals in Berkeley’s museum of vertebrate zoology, 1907–39. Social Studies of Science, 19(3), 387–420.

    Article  Google Scholar 

  • Steffe, L. P. (1994). Children’s multiplying schemes. In G. Harel & J. Confrey (Eds.), The development of multiplicative reasoning in the learning of mathematics (pp. 3–40). Albany, NY: State University of New York Press.

    Google Scholar 

  • Streefland, L. (1984). Search for the Roots of Ratio: some Thoughts on the Long Term Learning Process (Towards… A Theory)… Part I: reflections on a Teaching Experiment. Educational Studies in Mathematics, 15(4), 327–348.

    Article  Google Scholar 

  • Streefland, L. (1985). Search for the roots of ratio: some thoughts on the long term learning process (Towards… A Theory)… Part II: The outline of the long term learning process. Educational Studies in Mathematics, 16(1), 75–94.

    Article  Google Scholar 

  • Streefland, L. (1991). Fractions in realistic mathematics education: A paradigm of developmental research. Dordrecht, The Netherlands: Kluwer Academic Publishers.

  • Sztajn, P., Confrey, J., Wilson, P. H., & Edgington, C. (2012). Learning trajectory based instruction: toward a theory of teaching. Educational researcher, 41(5), 147–156.

    Article  Google Scholar 

  • van den Heuvel-Panhuizen, M. (Ed.). (2008). Children learn mathematics: a learning-teaching trajectory with intermediate attainment targets for calculation with whole numbers in primary school. Rotterdam: Sense Publishers.

    Google Scholar 

  • van den Heuvel-Panhuizen, M., & Buys, K. (Eds.). (2005). Young Children Learn Measurement and Geometry: A Learning-Teaching Trajectory with Intermediate Attainment Targets for the Lower Grades in Primary School. Rotterdam, The Netherlands: Sense Publishers.

    Google Scholar 

  • van Galen, F., Feijs, E., Figueiredo, N., Gravemeijer, K., van Herpen, E., & Keijzer, R. (2008). Fractions, percentages, decimals and proportions: A leaning-teaching trajectory for grades 4, 5 and 6. Rotterdam: Sense Publishers.

    Google Scholar 

  • Vergnaud, G. (1994). Multiplicative conceptual field: What and why? In Harel, G. & Confrey, J. (eds.) The development of multiplicative reasoning in the learning of mathematics. State University of New York, Albany, NY, USA, pp. 41–60.

  • Watson, J. M. (2009). The development of statistical understanding at the elementary school level. Mediterranean Journal of Mathematics Education, 8(1), 89–109.

    Google Scholar 

  • Watson, J. M., & Kelly, B. A. (2009). Development of student understanding of outcomes involving two or more dice. International Journal of Science and Mathematics Education, 7, 25–54.

    Article  Google Scholar 

  • Wilson, P. H., Meiers, M., Edgington, C., & Confrey, J. (2012). Fair shares matey, or walk the plank. Teaching Children Mathematics, 18(8), 482–489.

    Article  Google Scholar 

  • Wilson, P. H., Mojica, G. F., & Confrey, J. (2013). Learning trajectories in teacher education: supporting teachers’ understandings of students’ mathematical thinking. Journal of Mathematical Behavior, 32, 103–121.

    Article  Google Scholar 

Download references

Acknowledgments

This material is based upon work supported by the National Science Foundation (DRL-0758151 and DRL-073272) and Qualcomm. Any opinions, findings, conclusions, or recommendations expressed in these materials are those of the authors and do not necessarily reflect the views of the National Science Foundation or other funders. The authors wish to acknowledge the contributions of K. Nguyen, S. Varela, N. Monrose, Z. Yilmaz, and L. Neal to the development of the LPPSync software, curriculum writing, data analysis, and/or the conduct of the teaching experiment itself.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alan P. Maloney.

Additional information

The term curriculum can refer to a framework of standards, a scope and sequence of detailed objectives, or a set of organized materials. The term in the title refers to the full array of meanings; other uses in the paper specify the reference.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Confrey, J., Maloney, A.P. & Corley, A.K. Learning trajectories: a framework for connecting standards with curriculum. ZDM Mathematics Education 46, 719–733 (2014). https://doi.org/10.1007/s11858-014-0598-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11858-014-0598-7

Keywords

Navigation