Skip to main content
Log in

Efficacy of a learning trajectory approach compared to a teach-to-target approach for addition and subtraction

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

Abstract

Although basing instruction on a learning trajectory (LT) is often recommended, there is little direct evidence to support the premise of a “LT approach”—that to be maximally meaningful, engaging, and effective, instruction is best presented one LT level beyond a child’s present level of thinking. The present report serves to address the question: Is it necessary to teach each contiguous level of a LT or can instruction be similarly or more effective when skipping levels, provided the necessary exemplars are made? In a multimethod research study that included individual teaching experiments embedded inside of a quasi-experimental research design, one group of 13 kindergartners received instruction based on an empirically-validated LT for addition and subtraction (the “LT” treatment). The counterfactual, “skip” treatment (n = 12), received instruction focused mainly on levels at least two levels above their present level for the same amount of time as the LT treatment. More children in the LT treatment exhibited greater addition and subtraction learning during sessions and from pretest to posttest than children in the skip treatment. Implications for future study are discussed.

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

(adapted from Sarama & Clements, 2009)

Fig. 2

Similar content being viewed by others

Notes

  1. Note that the names of levels of the learning trajectory always end with “±”; however, because many similar terms appear in the problem type names, which are likewise capitalized in the literature, we also distinguish the learning trajectory names with boldface. The names were not elaborated for changed to keep consistency between this paper and the sources of the names (Clements & Sarama, 2014; Sarama & Clements, 2009, and LearningTrajectories.org).

References

  • Baroody, A. J. (1995). The role of the number-after rule in the invention of computational short cuts. Cognition and Instruction,13, 189–219.

    Article  Google Scholar 

  • Baroody, A. J., Clements, D. H., & Sarama, J. (2019). Teaching and learning mathematics in early childhood programs. In C. Brown, M. B. McMullen, & N. File (Eds.), The Wiley handbook of early childhood care and education (1st ed., pp. 329–353). Hoboken, NJ: Wiley Blackwell Publishing.

    Chapter  Google Scholar 

  • Carnine, D. W., Jitendra, A. K., & Silbert, J. (1997). A descriptive analysis of mathematics curricular materials from a pedagogical perspective: A case study of fractions. Remedial and Special Education,18(2), 66–81.

    Article  Google Scholar 

  • Carpenter, T. P., & Fennema, E. H. (1992). Cognitively guided instruction: Building on the knowledge of students and teachers. International Journal of Educational Research,17(5), 457. https://doi.org/10.1016/S0883-0355(05)80005-9.

    Article  Google Scholar 

  • Clark, R. E., Kirschner, P. A., & Sweller, J. (2012). Putting students on the path to learning: The case for fully guided instruction. American Educator,36(1), 6–11.

    Google Scholar 

  • Clarke, D. M., Cheeseman, J., Clarke, B., Gervasoni, A., Gronn, D., Horne, M., et al. (2001). Understanding, assessing and developing young children’s mathematical thinking: Research as a powerful tool for professional growth. In J. Bobis, B. Perry, & M. Mitchelmore (Eds.), Numeracy and beyond (Proceedings of the 24th Annual Conference of the Mathematics Education Research Group of Australasia) (Vol. 1, pp. 9–26). Reston: MERGA.

    Google Scholar 

  • Clements, D. H., & Sarama, J. (2014). Learning and teaching early math: The learning trajectories approach (2nd ed.). New York, NY: Routledge.

    Book  Google Scholar 

  • Clements, D. H., Sarama, J., Baroody, A. J., Joswick, C., & Wolfe, C. B. (2019). Evaluating the efficacy of a learning trajectory for early shape composition. American Educational Research Journal,56(6), 2509–2530. https://doi.org/10.3102/0002831219842788.

    Article  Google Scholar 

  • Clements, D. H., Sarama, J., Wolfe, C. B., & Day-Hess, C. A. (2008/2019). REMAResearch-based early mathematics assessment. Denver, CO: Kennedy Institute, University of Denver.

  • El’konin, D. B., & Davydov, V. V. (1975). Children’s capacity for learning mathematics. In L. P. Steffe (Ed.), Soviet studies in the pyschology of learning and teaching mathematics (Vol. 7, pp. 1–11). Chicago: University of Chicago Press.

    Google Scholar 

  • Fantuzzo, J. W., Gadsden, V. L., & McDermott, P. A. (2011). An integrated curriculum to improve mathematics, language, and literacy for Head Start Children. American Educational Research Journal,48, 763–793.

    Article  Google Scholar 

  • Frye, D., Baroody, A. J., Burchinal, M. R., Carver, S., Jordan, N. C., & McDowell, J. (2013). Teaching math to young children: A practice guide. Washington, DC: National Center for Education Evaluation and Regional Assistance (NCEE), Institute of Education Sciences, U.S. Department of Education.

    Google Scholar 

  • Fuson, K. C. (1992). Research on learning and teaching addition and subtraction of whole numbers. In G. Leinhardt, R. Putman, & R. A. Hattrup (Eds.), Handbook of research on mathematics teaching and learning (pp. 53–187). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Fuson, K. C. (2004). Pre-K to grade 2 goals and standards: Achieving 21st century mastery for all. In D. H. Clements, J. Sarama, & A.-M. DiBiase (Eds.), Engaging young children in mathematics: Standards for early childhood mathematics education (pp. 105–148). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Geary, D. C. (2011). Cognitive predictors of achievement growth in mathematics: A 5-year longitudinal study. Developmental Psychology,47(6), 1539–1552. https://doi.org/10.1037/a0025510.

    Article  Google Scholar 

  • Gelman, R., & Gallistel, C. R. (1978). The child’s understanding of number. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Gersten, R., Jordan, N. C., & Flojo, J. R. (2005). Early identification and interventions for students with mathematical difficulties. Journal of Learning Disabilities,38, 293–304.

    Article  Google Scholar 

  • Ginsburg, H. P., & Baroody, A. J. (2003). Test of early mathematics ability (3rd ed.). Austin, TX: Pro Ed.

    Google Scholar 

  • Gravemeijer, K. P. E. (1999). How emergent models may foster the constitution of formal mathematics. Mathematical Thinking and Learning,1, 155–177.

    Article  Google Scholar 

  • Jordan, N. C., Glutting, J., Dyson, N., Hassinger-Das, B., & Irwin, C. (2012). Building kindergartners’ number sense: A randomized controlled study. Journal of Educational Psychology,104(3), 647–660. https://doi.org/10.1037/a0029018.

    Article  Google Scholar 

  • Maloney, A. P., Confrey, J., & Nguyen, K. H. (Eds.). (2014). Learning over time: Learning trajectories in mathematics education. New York, NY: Information Age Publishing.

    Google Scholar 

  • Murata, A., & Fuson, K. C. (2006). Teaching as assisting individual constructive paths within an interdependent class learning zone: Japanese first graders learning to add using 10. Journal for Research in Mathematics Education,37(5), 421–456. https://doi.org/10.2307/30034861.

    Article  Google Scholar 

  • National Mathematics Advisory Panel. (2008). Foundations for success: The final report of the National Mathematics Advisory Panel. Washington DC: U.S. Department of Education, Office of Planning, Evaluation and Policy Development.

    Google Scholar 

  • National Research Council. (2009). Mathematics learning in early childhood: Paths toward excellence and equity. Washington, DC: National Academy Press.

    Google Scholar 

  • NGA/CCSSO. (2010). Common core state standards. Washington, DC: National Governors Association Center for Best Practices, Council of Chief State School Officers.

    Google Scholar 

  • Resnick, L. B., & Ford, W. W. (1981). The psychology of mathematics for instruction. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Sarama, J., & Clements, D. H. (2009). Early childhood mathematics education research: Learning trajectories for young children. New York, NY: Routledge.

    Book  Google Scholar 

  • Shepard, L., & Pellegrino, J. W. (2018). Classroom assessment principles to support learning and avoid the harms of testing. Educational Measurement: Issues and Practice,37(1), 52–57.

    Article  Google Scholar 

  • Siegler, R. S., & Jenkins, E. (1989). How children discover new strategies. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Steffe, L. P., & Cobb, P. (1988). Construction of arithmetical meanings and strategies. New York, NY: Springer-Verlag.

    Book  Google Scholar 

  • Steffe, L. P., Thompson, P. W., & Glasersfeld, E. V. (2000). Teaching experiment methodology: Underlying principles and essential elements. In A. E. Kelly & R. A. Lesh (Eds.), Handbook of research design in mathematics and science education (pp. 267–306). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Wu, H.-H. (2011). Understanding numbers in elementary school mathematics. Providence, RI: American Mathematical Society.

    Book  Google Scholar 

  • Wynn, K. (1992). Addition and subtraction by human infants. Nature,358, 749–750.

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the Institute of Education Sciences, U.S. Department of Education through Grant R305A150243. The opinions expressed are those of the authors and do not represent views of the U.S. Department of Education. Although the research is concerned with theoretical issues, not particular curricula, a small component of the intervention used in this research have been published by some of the authors, who could have a vested interest in the results. Researchers from an independent institution oversaw the research design, data collection, and analysis and confirmed findings and procedures. The authors wish to express appreciation to the teachers and students at the Ricks Center, Morgridge College of Education, University of Denver who participated in this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Douglas H. Clements.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 838 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Clements, D.H., Sarama, J., Baroody, A.J. et al. Efficacy of a learning trajectory approach compared to a teach-to-target approach for addition and subtraction. ZDM Mathematics Education 52, 637–648 (2020). https://doi.org/10.1007/s11858-019-01122-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11858-019-01122-z

Keywords

Navigation