Integrating Computers, Science, and Mathematics - A Course for Future Mathematics Teachers

Alfinio Flores

2014

Abstract

A course for prospective secondary mathematics teachers was developed at the University of Delaware, based on professional recommendations to integrate science, technology, engineering, and mathematics in the preparation of teachers of mathematics. Students used GeoGebra, Cabri3D, and Mathematica to model phenomena in the physical, natural and social sciences. They used motion sensors and graphing calculators to study motion. They wrote Python programs to simulate random phenomena. They built a robot and controlled it with a computer program, and made explicit the mathematical and scientific concepts involved in the functioning of the robot. Several forms of formative and summative assessment were conducted during the course. Teachers learned alternative ways of looking at mathematical concepts, and established connections in mathematics and with other areas.

References

  1. Allain, R. (2013). Physics of rowing. Retrieved December 28, 2013, from http://www.wired.com/wiredscience/ 2013/04/some-rowing-physics/
  2. Boaler, J. (2008). Promoting 'relational equity' and high mathematics achievement through an innovative mixed ability approach. British Educational Research Journal, 34(2), 167-194.
  3. Common Core State Standards Initiative (2010). Common Core State Standards for Mathematics. Retrieved December 27, 2013, from http://www. corestandards.org/
  4. Conference Board of the Mathematical Sciences (2012). The mathematical education of teachers II. Providence, RI: American Mathematical Society.
  5. Cory, B. L. (2010). Bouncing balls and graphing derivatives. Mathematics Teacher, 104(3), 206-213.
  6. Enthought (2013). Canopy Python. Retrieved December 28, 2013, from https://www.enthought.com/ downloads/
  7. Flores, A. (2006). Using graphing calculators to redress beliefs in the law of small numbers. In G. Burrill (Ed.), Thinking and reasoning with data and chance (pp. 291-304). Reston, VA: National Council of Teachers of Mathematics.
  8. Gordon, S. P. and Gordon, F. S. (2010). Functions, Data, and Models: An applied approach to college algebra. Washington, DC: Mathematical Association of America.
  9. Hammons, A. N., Flores, A., Pelesko, J. A., and Biehl, L. C. (2012). The “Bubble Board” and curve fitting. Ohio Journal of School Mathematics, No. 66, 9-16.
  10. Hohenwarter, J., Hohenwarter, M., and Lavicza, Z. (2008). Introducing dynamic mathematics software to secondary school teachers: The case of GeoGebra. Journal of Computers in Mathematics and Science Teaching, 28(2), 135-146.
  11. Hollebrands, K. F. (2007). The role of a dynamic software program for geometry in the strategies high school mathematics students employ. Journal for Research in Mathematics Education, 38(2), 164-192.
  12. International GeoGebra Institute (2013). GeoGebra. Available from http://www.geogebra.org/cms/ download.
  13. Kretz, H. (2013). Teaching mathematics with technology. Unpublished independent study report. Newark, DE: University of Delaware.
  14. Lawless, K. A. & Pellegrino, J. W. (2007). Professional development in integrating technology into teaching and learning: Knowns, unknowns and ways to pursue better questions and answers. Review of Educational Research, 77(4), 575-614.
  15. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: National Council of Teachers of Mathematics.
  16. National Research Council (2002). Learning and understanding: Improving advanced study of mathematics and science in U.S. high schools. Washington, DC: National Academy Press.
  17. National Research Council (2011). Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. Washington, DC: National Academies Press.
  18. Printz, J. (2006). The buggy lab: Comparing displacement and time to derive constant velocity. School Science and Mathematics, 106(5), 261-266.
  19. Restrepo, A. (2013). Research 2013. Unpublished independent study report. Newark, DE: University of Delaware.
  20. Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4- 14.
  21. Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1-22.
  22. Van Voorst, C. (1999). Technology in mathematics teacher education. ICTE Educational Technology Resource Library. Retrieved February 4, 2014 from http://www.icte.org/t99_library/t99_54.pdf.
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Paper Citation


in Harvard Style

Flores A. (2014). Integrating Computers, Science, and Mathematics - A Course for Future Mathematics Teachers . In Proceedings of the 6th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-021-5, pages 246-251. DOI: 10.5220/0004942402460251


in Bibtex Style

@conference{csedu14,
author={Alfinio Flores},
title={Integrating Computers, Science, and Mathematics - A Course for Future Mathematics Teachers},
booktitle={Proceedings of the 6th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2014},
pages={246-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004942402460251},
isbn={978-989-758-021-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Integrating Computers, Science, and Mathematics - A Course for Future Mathematics Teachers
SN - 978-989-758-021-5
AU - Flores A.
PY - 2014
SP - 246
EP - 251
DO - 10.5220/0004942402460251