Skip to main content

How Do Secondary Level Biology Teachers Make Sense of Using Mathematics in Design-Based Lessons About a Biological Process?

  • Chapter
Connecting Science and Engineering Education Practices in Meaningful Ways

Part of the book series: Contemporary Trends and Issues in Science Education ((CTISE,volume 44))

Abstract

In the fall of 2011 five secondary level biology teachers in the northeast United States implemented an experimental instructional module that challenged their students with a design problem. This challenge required students to perform both mathematical analysis and the engineering application of biological concepts in order to reach a resolution. Specifically, given the parental genotypes of two gecko parents, students were tasked to: (a) mathematically represent the relative frequency of all possible offspring genotypes; and (b) design a systematic breeding program for the geckos that would consistently produce a rare and highly desired genotype as a result. Presented here is a study of how the participating teachers made sense of the mathematics and engineering design applied to the biological process of inheritance, and their reflections on their own implementations of the instructional module. Emergent themes dealt with the limitations of mathematics in teachers’ own biology education, their lack of experience with either engineering or design, and their efforts to help students address similar circumstances.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ball, D., Thames, M., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, 59(5), 389–407.

    Article  Google Scholar 

  • Berger, P., & Luckmann, T. (1967). The social construction of reality: A treatise in the sociology of knowledge. New York: Anchor Books.

    Google Scholar 

  • Bjork, R., & Bjork, E. (2006). Optimizing treatment and instruction: Implications of a new theory of disuse. In L.-G. Nilsson & N. Ohta (Eds.), Memory and society: Psychological perspectives (pp. 109–133). Hove/New York: Psychology Press.

    Google Scholar 

  • Bruner, J., Goodnow, J., & Austin, G. (1956). A study of thinking. New York: Wiley & Sons.

    Google Scholar 

  • Cakir, M., & Crawford, B. (2001, January). Prospective biology teachers’ understandings of genetics concepts. Paper presented at the 2001 annual international conference of the association for the education of teachers in science, Costa Mesa, CA (ERIC Document Reproduction Service No. 463596), Retrieved May 24, 2012, from http://www.eric.ed.gov/PDFS/ED463956.pdf

  • Cantrell, P., & Robinson, M. (2002). How do 4th through 12th grade science textbooks address applications in engineering and technology? Bulletin of Science, Technology & Society, 22(1), 31–41.

    Article  Google Scholar 

  • Carr, R. L., Bennett, L. D., & Strobel, J. (2012). Engineering in the K-12 STEM standards of the 50 U.S. states: An analysis of presence and extent. Journal of Engineering Education, 101(3), 1–26.

    Article  Google Scholar 

  • Common Core State Standards Initiative. (2011). Retrieved March 31, 2012, from http://www.corestandards.org

  • Cox, C. (2009). Legitimization of subject matter in an undergraduate architectural design program: A cultural and systems theory analysis. Doctoral dissertation, Retrieved May 22, 2012, from Proquest dissertations and theses (AAT 3374470).

    Google Scholar 

  • Davis, E., & Krajcik, J. (2005). Designing educative curriculum materials to promote teacher learning. Educational Researcher, 34(3), 3–14.

    Article  Google Scholar 

  • Drake, C., & Sherin, M. (2009). Developing curriculum vision and trust: Changes in teachers’ curriculum strategies. In J. Remillard, B. Herbel-Eisenmann, & G. Lloyd (Eds.), Mathematics teachers at work: Connecting curriculum materials and classroom instruction (pp. 321–337). New York: Routledge.

    Google Scholar 

  • Elliott, R., Kazemi, E., Lesseig, K., Mumme, J., Carroll, C., & Kelley-Petersen, M. (2009). Conceptualizing the work of leading mathematical tasks in professional development. Journal of Teacher Education, 60(4), 364–379.

    Article  Google Scholar 

  • Elmore, R. (1996). Getting to scale with good educational practice. Harvard Educational Review, 66(1), 1–26.

    Article  Google Scholar 

  • Gubrium, J., & Holstein, J. (2000). Analyzing interpretive practice. In N. Denzin & Y. Lincoln (Eds.), Handbook of qualitative research (2nd ed., pp. 487–508). Thousand Oaks: Sage.

    Google Scholar 

  • Hashweh, M. (2005). Teacher pedagogical constructions: A reconfiguration of pedagogical content knowledge. Teachers and Teaching, 11(3), 273–292.

    Article  Google Scholar 

  • Kleickmann, T., Richter, D., Kunter, M., Elsner, J., Besser, M., Krauss, S., & Bumert, J. (2013). Teachers’ content knowledge and pedagogical content knowledge: The role of structural differences in teacher education. Journal of Teacher Education, 64(1), 90–106.

    Article  Google Scholar 

  • Kuenzi, J. (2008). Science, technology, engineering, and mathematics (STEM) education: Background, federal policy, and legislative action. Congressional research service reports, Paper 35. Digital Commons at University of Nebraska, Lincoln, NE. Retrieved June 20, 2013, from http://digitalcommons.unl.edu/crsdocs/35/

  • Lesh, R., Hoover, M., Hole, B., Kelly, A., & Post, T. (2000). Principles for developing thought- revealing activities for students and teachers. In A. Kelly & R. Lesh (Eds.), Research design in mathematics and science education (pp. 591–646). Mahwah: Erlbaum.

    Google Scholar 

  • Lincoln, Y., & Guba, E. (1985). Naturalistic inquiry. Newbury Park: Sage.

    Google Scholar 

  • Moll, M., & Allen, R. (1987). Student difficulties with Mendelian genetics problems. American Biology Teacher, 49(4), 229–233.

    Article  Google Scholar 

  • Moulton, S., & Kosslyn, S. (2009). Imagining predictions: Mental imagery as mental emulation. Philosophical Transactions of the Royal Society B, 364, 1273–1280.

    Article  Google Scholar 

  • Moustakas, C. (1994). Phenomenological research methods. Thousand Oaks: Sage.

    Google Scholar 

  • National Academy of Engineering and National Research Council of the National Academies, Committee on K-12 Engineering Education. (2009). Engineering in K-12 education. In L. Katehi, G. Pearson, & M. Feder (Eds.). Washington, DC: National Academies Press.

    Google Scholar 

  • National Board for Professional Teaching Standards. (2012). Retrieved June 11, 2012 from, http://www.nbpts.org/

  • National Research Council of the National Academies. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: National Academies Press.

    Google Scholar 

  • Next Generation Science Standards. (2013). Retrieved June 18, 2013, from http://www.nextgenscience.org

  • Ralston, P., Hieb, J., & Rivoli, G. (2013). Partneerships and experience in building STEM pipelines. Journal of Professional Issues in Engineering Education and Practice, 139(2), 156–162.

    Article  Google Scholar 

  • Rittel, H., & Webber, M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169.

    Article  Google Scholar 

  • Robinson, M., & Kenny, B. (2003). Engineering literacy in high school students. Bulletin of Science, Technology & Society, 23(2), 95–101.

    Article  Google Scholar 

  • Rossman, G., & Rallis, S. (2003). Learning in the field: An introduction to qualitative research (2nd ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Shulman, L. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14.

    Article  Google Scholar 

  • Simon, H. (1957). Models of man: Social and rational. New York: Wiley.

    Google Scholar 

  • Stewart, J. (1982). Difficulties experienced by high school students when learning basic Mendelian genetics. The American Biology Teacher, 44(2), 80–82, 84, 89.

    Article  Google Scholar 

  • Stokes, D. (1997). Pasteur’s quadrant: Basic science and technological innovation. Washington, DC: Brookings Institution Press.

    Google Scholar 

  • Sweller, J. (2011). Cognitive load theory. In J. Mestre & B. Ross (Eds.), Cognition in education (The psychology of learning and motivation, Vol. 55, pp. 37–76). Oxford: Academic.

    Google Scholar 

  • Tolman, R. (1982). Difficulties in genetics problem solving. American Biology Teacher, 44(9), 525–527.

    Article  Google Scholar 

  • van Manen, M. (1997). Researching lived experience: Human science for an action sensitive pedagogy (2nd ed.). London: Althouse Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Charlie Cox .

Editor information

Editors and Affiliations

Appendices

Appendix A

Protocol for first interview regarding experimental biology unit questions: teachers reflecting on mathematics proposed for inheritance instruction. We realize that experimental content might work for some students and not others. Please tell us the weak points as well as the strong ones.

Category 1: Personal Justification for Increasing Mathematical Exposure/Awareness/Mastery in General Studies, and in Biology Specifically

What math are you comfortable using off the cuff? Is the math you’re using for the unit inside or outside your zone of comfort? [prompts: algebra and variables; geometry and progressions]

In your opinion, what place does math have in biology instruction? [prompts: on a continuum from good to neutral to bad, say, or with good being an important tool for understanding biological processes and their range and limitations]

In your opinion, what place should math have in biology instruction?

You can think of these next questions as ones of did you: learn and then retain the math through reuse; learn and then forget from disuse (certainly my case); or were you never exposed to it?

How was math used to define inheritance concepts when you were:

  • A student in secondary school and university

  • Learning to teach

  • Since you’ve been at the present school [prompt: depending on who sets policy, well-defined administrative or departmental item?]

The National Research Council says this as part of its framework: Mathematics serves pragmatic functions as a tool – both a communicative function, as one of the languages of science, and a structural function, which allows for logical deduction. Mathematics enables ideas to be expressed in a precise form and enables the identification of new ideas about the physical world. Does that support how you feel about introducing math into biology? (2012, p. 64) [National Research Council of the National Academies (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: National Academies Press.]

Does this support what textbooks show or say about use of math in biology?

How did you use math in inheritance instruction before BLOOM? For example, did you use math to explain, calculate, or verify inheritance concepts for yourself before BLOOM?

Was it necessary for you to relate the math you used then to actual biological concepts and processes, or was it sufficient to find a reliable widget for calculation (e.g., a Punnett square) without investigating its limitations as a representation of a biological processes such as independent segregation, independent assortment, gamete formation?

Did you use math on any assessments when teaching inheritance before BLOOM implementation?

Category 2: Reflection on Interaction with Unit Content

When did you need to rely on math during the implementation: can you remember when math was helpful or any times when it was harmful to students’ progress or understanding? [prompts: defining combinations; making combinations; counting combinations; predicting combinations, comparing combinations expected theoretically versus observed empirically]

Did you recognize any difficulty that the materials introduced or made worse, that might have gotten in the way of student understanding?

Did you include any items related to math on assessments subsequent to the implementation, and why?

Do you anticipate any circumstances that would cause you to include such items or revise the structure of your exam? [prompts: response to standardized testing of science, administrative or departmental directive]

How do you make sense of the concepts and the sequence of presenting rules in the BLOOM materials? [prompt: inheritance, combinations, expression, design as plan with scientific explanation]

Appendix B

Protocol for second interview regarding experimental biology unit questions: teachers reflecting on math proposed for inheritance instruction. We realize that experimental content might work for some students and not others. Please tell us the weak points as well as the strong ones.

Category 1: Triangulation of Data Analysis

Please look over the section for which your pseudonym is indicated. What do you think is inaccurate?

How would you change that to be accurate?

Category 2: Self-assessment Using the Design Challenge

At what stage of the implementation did you understand what the design challenge was asking students to do? [prompts: professional development, review on my own, while helping students, never really sure]

At what stage of the implementation did you feel confident in answering the design challenge yourself?

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Cox, C., Reynolds, B., Schuchardt, A., Schunn, C. (2016). How Do Secondary Level Biology Teachers Make Sense of Using Mathematics in Design-Based Lessons About a Biological Process?. In: Annetta, L., Minogue, J. (eds) Connecting Science and Engineering Education Practices in Meaningful Ways. Contemporary Trends and Issues in Science Education, vol 44. Springer, Cham. https://doi.org/10.1007/978-3-319-16399-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-16399-4_14

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16398-7

  • Online ISBN: 978-3-319-16399-4

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics