References
- Aberg-Bengtsson, L., & Ottoson, T. (2006). What lies behind graphicacy? Relating students’ results on a test of graphically represented quantitative information to formal academic achievement. Journal of Research in Science Teaching, 43(1), 43–62. doi:10.1002/tea.20087
- American Association for the Advancement of Science. (1989). Science for all Americans. Washington, DC: Author.
- American Association for the Advancement of Science. (1993). Benchmarks for science literacy. Washington, DC: Author.
- Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view. New York, NY: Werbel & Peck.
- Banilower, E. (2002). Results of the 2001-2002 study of the impact of the local systemic change initiative on student achievement in science. Arlington, VA: National Science Foundation.
- Barab, S. A., & Landa, A. (1997). Designing effective interdisciplinary anchors. Educational Leadership, 54(6), 52–55.
- Barcelona, K. (2014). 21st century curriculum change initiative: A focus on STEM education as an integrated approach to teaching and learning. American Journal of Educational Research, 2(10), 862–875. doi:10.12691/education-2-10-4
- Barton, A. C., Tan, E., & Rivet, A. (2008). Creating hybrid spaces for engaging school science among urban middle school girls. American Educational Research Journal, 45(1), 68–103. doi:10.3102/0002831207308641
- Basista, B., & Mathews, S. (2002). Integrated science and mathematics professional development programs. School Science and Mathematics, 102(7), 359–370. doi:10.1111/ssm.2002.102.issue-7
- Beane, J. (1991). The middle school: The natural home of integrated curriculum. Educational Leadership, 49(2), 9–13.
- Beichner, R. J. (1990). The effect of simultaneous motion presentation and graph generation in a kinematics lab. Journal of Research in Science Teaching, 27(8), 803–815. doi:10.1002/(ISSN)1098-2736
- Beichner, R. J. (1996). The impact of video motion analysis on kinematics graph interpretation skills. American Journal of Physics, 64(10), 1272–1277. doi:10.1119/1.18390
- Berlin, D. F., & White, A. L. (1993). Integration of science and mathematics: What parents can do. Columbus, OH: National Center for Science Teaching and Learning.
- Berlin, D. F., & White, A. L. (1994). The Berlin‐White integrated science and mathematics model. School Science and Mathematics, 94(1), 2–4. doi:10.1111/ssm.1994.94.issue-1
- Berlin, D. F., & White, A. L. (1995). Connecting school science and mathematics. In P. A. House & A. F. Coxford (Eds.), Connecting mathematics across the curriculum, 1995 yearbook of the national council of teachers of mathematics (pp. 22–23). Reston, VA: National Council of Teachers of Mathematics.
- Berlin, D. F., & White, A. L. (2001). Science and mathematics together: Implementing a theoretical model. Science Educator, 10(1), 50–57.
- Berlin, D. F., & White, A. L. (2010). Preservice mathematics and science teachers in an integrated teacher preparation program for grades 7-12: A 3-year study of attitudes and perceptions related to integration. International Journal of Science and Mathematics Education, 8(1), 97–115. doi:10.1007/s10763-009-9164-0
- Boote, S. (2014). Assessing and understanding line graph interpretations using a scoring rubric of organized cited factors. Journal of Science Teacher Education, 25(3), 333–354. doi:10.1007/s10972-012-9318-8
- Borko, H. (2004). Professional development and teacher learning: Mapping the terrain. Educational Researcher, 33(8), 3–15. doi:10.3102/0013189X033008003
- Borko, H., & Putnam, R. T. (1996). Learning to teach. In R. C. Calfee & D. Berliner (Eds.), Handbook on Educational Psychology (pp. 673–708). New York, NY: Macmillan.
- Bowen, G. M., & Roth, W.-M. (2005). Data and graph interpretation among preservice science teachers. Journal of Research in Science Teaching, 42(10), 153–159. doi:10.1002/tea.20086
- Bransford, J. D., Brown, A. L., & Cocking, R. R. (2004). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.
- Britner, S. L., & Pajares, F. (2001). Self-efficacy beliefs, motivation, race, and gender in middle school science. Journal of Women and Minorities in Science and Engineering, 7, 4.
- Burghardt, M. D., Lauckhardt, J., Kennedy, M., Hecht, D., & McHugh, L. (2015). The effects of a mathematics infusion curriculum on middle school mathematics achievement. School Science and Mathematics, 115(5), 204–215. doi: 10.1111/ssm.12123
- Burghardt, M.D., Hecht, D., Russo, M., Lauckhardt, J., & Hacker, M. (2010). A study of mathematics infusion in middle school technology education classes. Journal of Technology Education, 22(1), 58–74.
- Cantrell, P., Pekca, G., Itani, A., & Valasquez-Bryant, N. (2006). The effects of engineering modules on student learning in middle school science classrooms. Journal of Engineering Education, 95(4), 301–309. doi:10.1002/j.2168-9830.2006.tb00905.x
- Carlson, J., Davis, E. A., & Buxton, C. (2014). Supporting the implementation of the Next Generation Science Standards (NGSS) through research: Curriculum materials. Reston, VA: National Association of Research in Science Teaching. Retrieved from https://narst.org/ngsspapers/curriculum.cfm
- Davis, K. S. (2003). “Change is hard”: What science teachers are telling us about reform and teacher learning of innovative practices. Science Education, 87(1), 3–30. doi:10.1002/sce.10037
- Desimone, L. M., Porter, A. C., Garet, M. S., Yoon, K. S., & Birman, B. F. (2002). Effects of professional development on teachers’ instruction: Results from a three-year longitudinal study. Educational Evaluation and Policy Analysis, 24(2), 81–112. doi:10.3102/01623737024002081
- Dixon, W. J. (1983). BMDP statistical software. Berkeley, CA: University of California Press.
- Driver, R., Asoko, H., Leach, J., Scott, P., & Mortimer, E. (1994). Constructing scientific knowledge in the classroom. Educational Researcher, 23(7), 5–12. doi:10.3102/0013189X023007005
- Fischer, H. E., Klemm, K., Leutner, D., Sumfleth, E., Tiemann, R., & Wirth, J. (2005). Framework for empirical research on science teaching and learning. Journal of Science Teacher Education, 16(4), 309–349. doi:10.1007/s10972-005-1106-2
- Friel, S. N., Curcio, F. R., & Bright, G. W. (2001). Making sense of graphs: Critical factors influencing comprehension and instructional implications. Journal for Research in Mathematics Education, 32(2), 124–158. doi:10.2307/749671
- Frykholm, J., & Glasson, G. (2005). Connecting science and mathematics instruction: Pedagogical context knowledge for teachers. School Science and Mathematics, 105(3), 127–141. doi:10.1111/ssm.2005.105.issue-3
- Furner, J. M., & Kumar, D. D. (2007). The mathematics and science integration argument: A stand for teacher education. Eurasia Journal of Mathematics, Science, and Technology Education, 3(3), 185–189. doi:10.12973/ejmste/75397
- Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001). What makes professional development effective? Results from a national sample of teachers. American Educational Research Journal, 38(4), 915–945. doi:10.3102/00028312038004915
- Glazer, N. (2011). Challenges with graph interpretation: A review of the literature. Studies in Science Education, 47(2), 183–210. doi:10.1080/03057267.2011.605307
- Hardy, G. (2014). Academic self-concept: Modeling and measuring for science. Research in Science Education, 44(4), 549–579. doi:10.1007/s11165-013-9393-7
- Hedges, L. V., & Hedberg, E. C. (2007). Intraclass correlation values for planning group-randomized trials in education. Educational Evaluation and Policy Analysis, 29(1), 60–87. doi:10.3102/0162373707299706
- Hofstra University. (2000). Math infusion into science project. East Garden City, NY: Author. Retrieved from. http://www.hofstra.edu/Academics/Colleges/SEAS/CTL/MISP/index.html
- Huntly, M. A. (1999). Theoretical and empirical investigations of integrated mathematics and science education in the middle grades with implications for teacher education. Journal of Teacher Education, 50(1), 57–67. doi:10.1177/002248719905000107
- Janvier, C. (1998). The notion of chronicle as an epistemological obstacle to the concept of function. Journal of Mathematical Behavior, 17(1), 79–103. doi:10.1016/S0732-3123(99)80062-5
- Johnson, C. C. (2006). Effective professional development and change in practice: Barriers science teachers encounter and implications for reform. School Science and Mathematics, 106(3), 150–161. doi:10.1111/ssm.2006.106.issue-3
- Judson, E., & Sawada, D. (2000). Examining the effects of a reformed junior high school science class on students’ math achievement. School Science and Mathematics, 100(8), 419–425. doi:10.1111/ssm.2000.100.issue-8
- Kelly, A. M., Gningue, S. M., & Qian, G. (2015). First-year urban mathematics and science teachers: Classroom challenges and reflective solutions. Education and Urban Society, 47(2), 132–159. doi: 10.1177/0013124513489147
- Kennedy, M. M. (2016). How does professional development improve teaching? Review of Educational Research, 86(4), 945–980. doi:10.3102/0034654315626800
- King, K. P., & Wiseman, D. L. (2001). Comparing science efficacy beliefs of elementary education majors and non-integrated teacher education coursework. Journal of Science Teacher Education, 12(2), 143–153. doi:10.1023/A:1016681823643
- Lead States, N. G. S. S. (2013). Next generation science standards: For states, by states. Washington, DC: The National Academies Press.
- Lederman, N. G., & Lederman, J. S. (2013). Is it STEM or “S & M” that we truly love? Journal of Science Teacher Education, 24(8), 1237–1240. doi:10.1007/s10972-013-9370-z
- Leinhardt, G., Zaslavsky, O., & Stein, M. K. (1990). Functions, graphs, and graphing: Tasks, learning, and teaching. Review of Educational Research, 60(1), 1–64. doi:10.3102/00346543060001001
- Lewis, E. B., Baker, D. R., & Helding, B. A. (2015). Science teaching reform through professional development: Teachers’ use of a scientific classroom discourse community model. Science Education, 99(5), 896–931. doi:10.1002/sce.2015.99.issue-5
- Loucks-Horsley, S., & Matsumoto, C. (1999). Research on professional development for teachers of mathematics and science: The state of the scene. School Science and Mathematics, 99(5), 258–271. doi:10.1111/ssm.1999.99.issue-5
- Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among U.S. students. Science Education, 95(5), 877–907. doi:10.1002/sce.v95.5
- Marx, R. W., Blumenfeld, P. C., Krajcik, J. S., Fishman, B., Soloway, E., Geier, R., & Tal, R. T. (2004). Inquiry-based science in the middle grades: Assessment of learning in urban systemic reform. Journal of Research in Science Teaching, 41(10), 1063–1080. doi:10.1002/(ISSN)1098-2736
- McDermott, L. C., Rosenquist, M. L., & Van Zee, E. H. (1987). Student difficulties in connecting graphs and physics: Examples from kinematics. American Journal of Physics, 55(6), 503–513. doi:10.1119/1.15104
- McHugh, L., Kelly, A. M., & Burghardt, M. D. (2017). Teaching thermal energy concepts in a middle school mathematics-infused science curriculum. Science Scope, 41(1), 33–40. doi: 10.2505/4/ss17_041_01_43
- Miller, K., & Davison, D. (1999). Paradigms and praxis: The role of science and mathematics integration. Science Educator, 8(1), 25–29.
- National Academy of Engineering and National Research Council. (2014). STEM integration in K-12 education: Status, prospects, and an agenda for research. Washington, DC: The National Academies Press.
- National Center for Education Statistics, U.S. Department of Education. (2000). Mathematics and science in the eighth grade: Findings from the Third International Mathematics and Science Study. Washington, DC: NCES.
- National Governors Association Center for Best Practices and Council of Chief State School Officers. (2010). Common core state standards. Washington DC: CCSSO.
- National Research Council. (2011). Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. Washington, DC: The National Academies Press.
- National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Washington, DC: The National Academies Press.
- New York State Education Department [NYSED]. (1996). Curriculum & instruction. Learning standards for mathematics, science and technology. Albany, NY: NYSED.
- President’s Council of Advisors on Science and Technology. (2010). Prepare and inspire: K-12 education in science, technology, engineering, and math (STEM) for America’s future. Washington, DC: Office of Science and Technology Policy.
- Riskowski, J. L., Todd, C. D., Wee, B., Dark, M., & Harbor, J. (2009). Exploring the effectiveness of an interdisciplinary water resources engineering module in an eighth grade science course. International Journal of Engineering Education, 25(1), 181–195.
- Rosenthal, R., & DiMatteo, M. R. (2001). Meta-analysis: Recent developments in quantitative methods for literature reviews. Annual Review of Psychology, 52(1), 59–82. doi:10.1146/annurev.psych.52.1.59
- Schneider, R. M., Krajcik, J., & Blumenfeld, P. (2005). Enacting reform-based science materials: The range of teacher enactments in reform classes. Journal of Research in Science Teaching, 42(3), 283–312. doi:10.1002/tea.20055
- Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin.
- Shah, P., & Hoeffner, J. (2002). Review of graph comprehension research: Implications for instruction. Educational Psychology Review, 14(1), 47–69. doi:10.1023/A:1013180410169
- Stohlmann, M., Moore, T. J., & Roehrig, G. H. (2012). Considerations for teaching integrated STEM education. Journal of Pre-College Engineering Education Research, 2(1), Article 4. doi:10.5703/1288284314653
- Supovitz, J. A., & Turner, H. M. (2000). The effects of professional development on science teaching practices and classroom culture. Journal of Research in Science Teaching, 37(9), 963–980. doi:10.1002/(ISSN)1098-2736
- Tai, R., Liu, C. Q., Maltese, A. V., & Fan, X. T. (2006). Planning early for careers in science. Science, 312(5777), 1143–1144. doi:10.1126/science.1128690
- Testa, I., Monroy, G., & Sassi, E. (2002). Students’ reading images in kinematics: The case of real-time graphs. International Journal of Science Education, 24(3), 235–256. doi:10.1080/09500690110078897
- United States Department of Agriculture, Food, and Nutrition Service. (2013). School meals: Income eligibility guidelines, SY 2012-2013. Retrieved from http://www.fns.usda.gov/sites/default/files/IEG_Table-032913.pdf.
- Venville, G., Rennie, L. J., & Wallace, J. (2004). Decision making and sources of knowledge: How students tackle integrated tasks in science, technology, and mathematics. Research in Science Education, 34(2), 115–135. doi:10.1023/B:RISE.0000033762.75329.9b
- Venville, G., Wallace, J., Rennie, L. J., & Malone, J. (2000). Bridging the boundaries of compartmentalized knowledge: Student learning in an integrated environment. Research in Science and Technological Education, 18(1), 23–25. doi:10.1080/713694958
- Weinberg, A. E., & McMeeking, L. B. S. (2017). Toward meaningful interdisciplinary education: High school teachers’ views of mathematics and science integration. School Science and Mathematics, 117(5), 2014–2213. doi:10.1111/ssm.12224
- Wilkins, J. L. M. (2000). Preparing for the 21st century: The status of quantitative literacy in the United States. School Science and Mathematics, 100(8), 405–418. doi:10.1111/j.1949-8594.2000.tb17329.x
- Yoon, K. S., Duncan, T., Lee, S. W.-Y., Scarloss, B., & Shapley, K. (2007). Reviewing the evidence on how teacher professional development affects student achievement. Issues & Answers Report. Washington, DC: U.S. Department of Education.
- Zeidler, D. L., LeBaron, J. F., Gupta, R., & Torres, H. N. (1999). Meeting the challenge of professional development: Design and evaluation of a telecommunications mediated course in science, mathematics, and technology education. Journal of Science Teacher Education, 10(3), 195–215. doi:10.1023/A:1009430913824