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The Effects of Texas Instruments InterActive Learning Environment on the Mathematical Achievement of Low Achieving Students
PROCEEDINGS

## Beth Bos, University of Houston, United States

Society for Information Technology & Teacher Education International Conference, in San Antonio, Texas, USA ISBN 978-1-880094-61-7 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

## Abstract

The level of mathematical thinking and problem solving required in the workplace has increased dramatically from past generations (United States Department of Education, 2003). In a 2005 policy statement the National Council of Teachers of Mathematics (NCTM) suggests that technology can help: Calculators and computers are reshaping the mathematical landscape, and school mathematics should reflect those changes. Students can learn more mathematics more deeply with the appropriate and responsible use of technology. They can make and test conjectures and work at higher levels of generalization or abstraction. (National Council of Teachers of Mathematics, 2005, ¶ 1) This study takes a close look at if one software product, TI InterActive, used in an instructional environment built on conjecturing and sense making, can increase mathematical achievement.

## Citation

Bos, B. (2007). The Effects of Texas Instruments InterActive Learning Environment on the Mathematical Achievement of Low Achieving Students. In R. Carlsen, K. McFerrin, J. Price, R. Weber & D. Willis (Eds.), Proceedings of SITE 2007--Society for Information Technology & Teacher Education International Conference (pp. 3221-3226). San Antonio, Texas, USA: Association for the Advancement of Computing in Education (AACE). Retrieved May 26, 2019 from https://www.learntechlib.org/primary/p/25106/.

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## References

View References & Citations Map- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Ed.). New Jersey: Lawrence Erlbaum.
- Davis, R.B. (1979, April). Conceptualizing the structures underlying cognitive behavior– The usefulness of “frames”. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA.
- Heid, M.K. (2003). Theories for thinking about the use of CAS in teaching and learning mathematics. In J.T. Fey (Ed.), Computer algebra systems in secondary school Mathematics Education (pp. 33-52). Reston, VA: NCTM.
- National Council of Teachers of Mathematics (2000). Principles and standards for school mathematics. Reston, VA: NCTM.
- National Council of Teachers of Mathematics (2005). Overview Principles for School Mathematics. Retrieved 3/15/05 from http://standards.nctm.org/document/chapter2/techn.htm
- Schoenfeld, A.H. (1985). Mathematical problem solving. Orlando, Florida: Academic Press.
- Shaffer, D.W. & Kaput, J. (1999). Mathematics and virtual culture: An evolutionary perspective on technology and mathematics education. Educational Studies in Mathematics, 37(2), 97-119.
- Texas Education Agency. (2005). Chapter 13, Reliability. Chapter 14, Validity. Retrieved 8/12/05 from http://www.tea.state.tx.us/student.assessment/resources/techdig/chap14.pdf#xml=http://www.tea.state.tx.uswww.t Ea.state.tx.us/cgi/texis/webinator/search/xml.txt?query=validity&db=db&id=08c170183cf9fab4
- United States Department of Education. (2003). Proven methods: the facts about… investing in what works. Retrieved July 22, 2004 from http://www.ed.gov/nclb/methods/whatworks/whatworks.html
- Waxman, H., Connell, M., & Gray, J. (2002). A quantitative synthesis of recent research on the effects of teaching and learning with technology on student outcomes. Retrieved 11/29/04 from http://www.ncrel.org/tech/effects/index.html

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