The NCTM Process Standards and the Five Es of Science: Connecting Math and Science

School Science and Mathematics

Volumn 110, Issue 5, 2010, Pages 262-276

  Bossé, Michael J ^a   Lee, Tammy D ^a   Swinson, Michael ^a   Faulconer, Johna ^a  

^a EAST CAROLINA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 80755177232     PISSN: 00366803     EISSN: 19498594     Source Type: Journal    
DOI: 10.1111/j.1949-8594.2010.00033.x     Document Type: Article

References (56)

1. Abraham, M. R., & Renner, J. W. (1983). Sequencing language and activities in teaching high school chemistry—A report to the National Science Foundation. Norman, OK: Science Education Center, University of Oklahoma (ERIC Document Reproduction Service No. ED 241 267)
2. Abraham, M. R., & Renner, J. W. (1986). The sequencing of learning cycle activities in teaching high school chemistry. Journal of Research in Science Teaching, 23, 121–143.
3. Alsop, S., & Watts, M. (2003). Science education and affect. International Journal of Science Education, 25, 1043–1047.
4. Bass, J. E., Contant, T. L., & Carin, A. A. (2009). Teaching science as an inquiry (5th ed.). Boston: Allyn & Bacon.
5. Beane, J. (1996). On the shoulders of giants! The case for curriculum integration. Middle School Journal, 28, 6–11.
6. Berlin, D. (1994). The integration of science and mathematics education: Highlights from the NSF/SSMA Wingspread conference plenary papers. School Science and Mathematics, 94, 32–35.
7. Bielaczyc, K., & Collins, A. (1999). Learning communities in classrooms: A reconceptualization of educational practice. In C. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory (pp. 269–292). Mahwah, NJ: Erlbaum.
8. Brown, A., Ash, D., Rutherford, M., Nakagawa, K., Gordon, A., & Campione, J. (1993). Distributed expertise in the classroom. In G. Salomon (Ed.), Distributed cognitions: Psychological and educational considerations (pp. 188–228). Cambridge, MA: University Press.
9. Carnegie Council on Adolescent Development, Task Force on Education of Young Adolescent. (1989). Turning points: Preparing American youth for the 21st century. Washington, DC: Carnegie Council on Adolescent Development.
10. Cazden, C. B. (1988). Classroom discourse: The language of teaching and learning. Portsmouth, NH: Heinemann.
11. Cobb, P. (1994). Where is the mind: Constructivist and sociocultural perspectives on mathematical development. Educational Researcher, 23(7), 13–19.
12. Cohen, P. (1995). Understanding the brain: Educators seek to apply brain research. ASCD Education Update, 37(7), 4–5.
13. Friend, H. (1985). The effect of science and math integration on selected seventh grade students' attitudes toward achievement in science. School Science and Mathematics, 85, 453–461.
14. Frykholm, J., & Glasson, G. (2005). Connecting science and mathematics instruction: Pedagogical context knowledge for teachers. School Science and Mathematics, 105, 127–141.
15. Furner, J., & Kumar, D. (2007). The mathematics and science integration argument: A stand for teacher education. Eurasia Journal of Mathematics, Science, & Technology Education, 3, 185–189.
16. George, P. S. (1996). The integrated curriculum: A reality check. Middle School Journal, 28, 12–19.
17. Glynn, S. M., & Koballa, T. R. (2006). Motivation to learn in college science. In J. J. Mintzes & W. H. Leonard (Eds.), Handbook of college science teaching (pp. 25–32). Arlington, VA: NSTA Press.
18. Glynn, S. M., Taasoobshirazi, G., & Brickman, P. (2007). Non-science majors learning science: A theoretical model of motivation. Journal of Research in Science Teaching, 44, 1088–1107.
19. Goldin, G. A. (2003). Representations in school mathematics: A unifying research perspective. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), A research companion to principles and standards for school mathematics (pp. 275–285). Reston, VA: National Council of Teachers of Mathematics.
20. Jacobs, H. (1989). Interdisciplinary curriculum: Design and implementation. Alexandria, VA: Association for Supervision and Curriculum Development.
21. Koirala, H. P., & Bowman, J. K. (2003). Preparing middle level preservice teachers to integrate mathematics and science: Problems and possibilities. School Science and Mathematics, 145, 145–154.
22. Lampert, M., & Cobb, P. (2003). Communication and language. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), A research companion to principles and standards for school mathematics (pp. 275–285). Reston, VA: National Council of Teachers of Mathematics.
23. Lawson, A. E., Abraham, M. R., & Renner, J. W. (1989). A theory of instruction: Using the learning cycle to teach science concepts and thinking skills [Monograph, Number One]. Kansas State University, Manhattan, KS: National Association for Research in Science Teaching.
24. Magnusson, S. J., & Palincsar, A. S. (2005). Teaching to promote the development of scientific knowledge and reasoning about light at the elementary school level. In M. S. Donovan & J. D. Bransford (Eds.), How students learn science in the classroom (pp. 421–474). Washington, DC: The National Academies Press.
25. Mason, T. C. (1996). Integrated curricula: Potential and problems. Journal of Teacher Education, 47, 263–270.
26. Mazlo, J., Dormedy, D. F., Niemoth-Anderson, J. D., Urlacher, T., Carson, G. A., & Kelter, P. B. (2002). Assessment of motivational methods in the general chemistry laboratory. Journal of College Science Teaching, 36, 318–321.
27. McBride, J. W., & Silverman, F. L. (1991). Integrating elementary/middle school science and mathematics. School Science and Mathematics, 91, 18–25.
28. McLeod, D. B. (1988). Affective issues in mathematical problem solving: Some theoretical considerations. Journal for Research in Mathematics Education, 19, 134–141.
29. McLeod, D. B. (1989). Beliefs, attitudes, and emotions: New view of affect in mathematics education. In D. B. McLeod & V. M. Adams (Eds.), Affect and mathematical problem solving: A new perspective (pp. 245–258). New York: Springer-Verlag.
30. McLeod, D. B. (1990). Information-processing theories and mathematics learning: The role of affect. International Journal of Educational Research, 14, 13–29.
31. McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 575–598). New York: Macmillan.
32. McLeod, D. B. (1994). Research on affect and mathematics learning in the JRME: 1970 to the present. Journal for Research in Mathematics Education, 25, 637–647.
33. Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded source book (2nd ed.). Thousand Oaks, CA: Sage.
34. Monk, S. (2003). Representations in school mathematics: Learning to graph and graphing to learn. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), A research companion to principles and standards for school mathematics (pp. 275–285). Reston, VA: National Council of Teachers of Mathematics.
35. National Council of Teachers of Mathematics (NCTM). (1989). Curriculum and evaluation standards. Reston, VA: Author.
36. National Council of Teachers of Mathematics (NCTM). (1991). Professional standards for teaching mathematics. Reston, VA: Author.
37. National Council of Teachers of Mathematics (NCTM). (2000). Principles and standards for school mathematics. Reston, VA: Author.
38. National Research Council (NRC). (1995). National science education standards. Washington, DC: National Academies Press.
39. National Research Council (NRC). (2000). Inquiry and the national science education standards: A guide for teaching and learning. Washington, DC: National Research Press.
40. Osborne, J., Simon, S., & Collins, S. (1993). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25, 1049–1079.
41. Perrier, F., & Nsengiyumva, J. (2003). Active science as a contribution to the trauma recovery process: Preliminary indications with orphans from the 1994 genocide in Rwanda. International Journal of Science Education, 25, 1111–1128.
42. Polya, G. (1957). How to solve it. Princeton, NJ: University Press.
43. Renner, J. W., Abraham, M. R., & Birnie, H. H. (1983). Sequencing language and activities in teaching high school physics-A report to the National Science Foundation. Norman, OK: Science Education Center, University of Oklahoma (ERIC Document Reproduction Service No. ED 238 732)
44. Renner, J. W., Abraham, M. R., & Birnie, H. H. (1985a). The importance of the form of student acquisition of data in physics learning cycles. Journal of Research in Science Teaching, 22, 303–325.
45. Renner, J. W., Abraham, M. R., & Birnie, H. H. (1985b). The necessity of each phase of the learning cycle in teaching high-school physics. Journal of Research in Science Teaching, 25(1), 39–58.
46. Rutherford, J., & Ahlgren, A. (1990). Science for all Americans. New York: Oxford University Press.
47. Schiefele, U., & Csikszentmihalyi, M. (1995). Motivation and ability as factors in mathematics experience and achievement. Journal for Research in Mathematics Education, 26, 163–181.
48. Simpson, R. D., Koballa, T. R., Oliver, J. S., & Crawley, F. E. (1994). Research on the affective dimensions of science learning. In D. Gabel (Ed.), Handbook of research on science teaching and learning (pp. 211–234). New York: Macmillan.
49. Smith, S. P. (2003). Representations in school mathematics: Children's representations of problems. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), A research companion to principles and standards for school mathematics (pp. 275–285). Reston, VA: National Council of Teachers of Mathematics.
50. Swan, K., & Shea, P. (2005). The development of virtual learning communities. In S. R. Hiltz & R. Goldman (Eds.), Learning together online: Research on asynchronous learning networks (pp. 239–260). Mahwah, NJ: Erlbaum.
51. Vygotsky, L. S. (1978). Mind in society: The development of higher order psychological processes. Cambridge, MA: Harvard University Press.
52. Vygotsky, L. S. (1986). Thought and language. Cambridge, MA: MIT Press.
53. Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge, MA: University Press.
54. Wertsch, J. V. (1985). Vygotsky and the social formation of mind. Cambridge, MA: Harvard University Press.
55. Wolfe, L. F. (1990). Teaching science to gifted underachievers: A conflict of goals. Journal of Education, 6(1), 88–97.
56. Yackel, E., & Hanna, G. (2003). Reasoning and proof. In J. Kilpatrick, W. G. Martin, & D. Schifter (Eds.), A research companion to principles and standards for school mathematics (pp. 227–236). Reston, VA: National Council of Teachers of Mathematics.