STEM integration in K-12 education: status, prospects, and an agenda for research

STEM Integration in K-12 Education: Status, Prospects, and an Agenda for Research

Volumn , Issue , 2014, Pages 1-165

  Honey, Margaret A ^a   Pearson, Greg ^b   Schweingruber, Heidi ^c  

^a New York Hall of Science ^*  (United States)

^b NATIONAL ACADEMY OF ENGINEERING   (United States)

^c NATIONAL RESEARCH COUNCIL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84988474892     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.17226/18612     Document Type: Book

References (320)

1. AAAS (American Association for the Advancement of Science). 1990. Science for All Americans. New York: Oxford University Press.
2. AAAS. 1993. Benchmarks for Science Literacy. New York: Oxford University Press.
3. Achieve, Inc. 2013. Next Generation Science Standards. Available at www.nextgenscience.org/next-generation-science-standards (retrieved July 17, 2013).
4. Blank, R. 2012. What is the impact of decline in science instructional time in elementary school? Time for elementary instruction has declined, and less time for science is correlated with lower scores on NAEP. Paper prepared for the Noyce Foundation. Available at www.csss-science.org/downloads/NAEPElemScienceData.pdf (retrieved July 17, 2013).
5. Carnegie Corporation of New York. 2009. The Opportunity Equation: Transforming Mathematics and Science Education for Citizenship and the Global Economy. Available at http://opportunityequation.org/uploads/files/oe_report.pdf (retrieved August 14, 2013).
6. Council on Competitiveness. 2005. Innovate America. Available at www.compete.org/images/uploads/File/PDF%20Files/NII_Innovate_America.pdf ( retrieved August 14, 2013).
7. Ginsberg, A., and N. Chudowsky. 2012. Time for Learning: An Exploratory Analysis of NAEP Data. Prepared for the National Assessment Governing Board. Available at www.nagb.org/content/nagb/assets/documents/what-we-do/quarterly-board-meetingmaterials/2012-11/time-for-learning-naep-data-analysis.pdf (retrieved November 14, 2013).
8. ITEEA (International Technology and Engineering Educators Association). 2000. Standards for Technological Literacy: Content for the Study of Technology. Reston, VA.
9. Keefe, B. 2009. The Perception of STEM: Analysis, Issues and Future Directions. Entertainment and Media Communication Institute, Division of Entertainment Industries Council, Inc. (EIC). Burbank, CA: EIC.
10. NAE (National Academy of Engineering). 2010. Standards for K-12 Engineering? Available at www.nap.edu/catalog.php?record_id=12990 (retrieved August 15, 2013).
11. NAE and NRC (National Research Council). 2009. Engineering in K-12 Education: Understanding the Status and Improving the Prospects. Washington: National Academies Press.
12. NAE and NRC. 2002. Technically Speaking: Why All Americans Need to Know More About Technology. Available at www.nap.edu/catalog.php?record_id=10250 (retrieved August 15, 2013).
13. NGACPB (National Governors Association Center for Best Practices). 2010. Common Core State Standards for Mathematics. Available at www.corestandards.org/assets/CCSSI_Math%20Standards.pdf (retrieved January 14, 2014).
14. NCMSTC (National Commission on Mathematics and Science Teaching for the 21st Century). 2000. Before It's Too Late: A Report to the Nation from the National Commission on Mathematics and Science Teaching for the 21st Century. Available at www.ptec.org/document/ServeFile.cfm?ID=4059&DocID=2813 (retrieved August 14, 2013).
15. NCTM (National Council of Teachers of Mathematics). 1989. Curriculum and Evaluation Standards for School Mathematics. Reston, VA.
16. NEA (National Education Association). 1894. Report of the Committee of Ten on Secondary School Studies: With the Reports of the Conferences Arranged by the Committee. New York: American Book Company. Available at http://books.google.com/books?id=PfcBAAAAYAAJ&pg=PA3&lpg=PA3#v=onepage&q&f=false (retrieved April 8, 2012).
17. NGA (National Governors Association). 2007. Innovation America: A Final Report. Available at www.nga.org/files/live/sites/NGA/files/pdf/0707INNOVATIONFINAL.PDF (retrieved August 14, 2013).
18. NRC. 1989. Everybody Counts: A Report to the Nation on the Future of Mathematics Education. Available at www.nap.edu/catalog.php?record_id=1199 (retrieved August 15, 2013).
19. NRC. 1996. National Science Education Standards. Washington: National Academy Press. Available at www.nap.edu/catalog.php?record_id=4962 (retrieved July 23, 2013).
20. NRC. 2007a. Rising Above the Gathering Storm: Energizing and Employing America for a Brighter Economic Future. Available at www.nap.edu/catalog.php?record_id=11463 9 (retrieved August 14, 2013).
21. NRC. 2007b. Taking Science to School: Learning and Teaching Science in Grades K-8. Washington: National Academies Press. Available at www.nap.edu/catalog.php?record_id=11625 (retrieved October 29, 2013).
22. NRC. 2009a. A New Biology for the 21st Century: Ensuring the United States Leads the Coming Biology Revolution. Washington: National Academies Press. Available at www.nap.edu/catalog.php?record_id=12764 (retrieved July 23, 2013).
23. NRC. 2009b. Learning Science in Informal Environments: People, Places, and Pursuits. Washington: National Academies Press. Available at www.nap.edu/catalog.php?record_id=12190 (retrieved October 29, 2013).
24. NRC. 2012a. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington: National Academies Press. Available at www.nap.edu/ catalog.php?record_id=13165 (retrieved July 17, 2013).
25. NRC. 2012b. Discipline Based Education Research: Understanding and Improving Learning in Undergraduate Science and Engineering. Washington: National Academies Press. Available at www.nap.edu/catalog.php?record_id=13362 (retrieved October 29, 2013).
26. NSB (National Science Board). 2007. National Action Plan for Addressing the Critical Needs of the U.S. Science, Technology, Engineering and Mathematics Education System. Available at www.nsf.gov/nsb/documents/2007/stem_action.pdf (retrieved August 14, 2013).
27. NSF (National Science Foundation). 2012. Science and Engineering Indicators. State graduation requirements for mathematics and science, by number of years required: Selected years, 1987-2008. Available at www.nsf.gov/statistics/seind12/c1/tt01-06.htm (retrieved July 17, 2013).
28. OSTP (Office of Science and Technology Policy). 2011. The Federal Science, Technology, Engineering, and Mathematics (STEM) Education Portfolio: A Report from the Federal Inventory of STEM Education Fast-Track Action Committee, Committee on STEM Education, National Science and Technology Council. Available at www.whitehouse.gov/sites/default/files/microsites/ostp/costem__federal_stem_education_portfolio_report.pdf (retrieved April 4, 2012).
29. PCAST (President's Council of Advisors on Science and Technology). 2012. Report to the President. Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering and Mathematics. Available at www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-engage-to-excel-final_feb.pdf (retrieved August 14, 2013).
30. Sanders, M. 2009. STEM, STEM education, STEMmania. The Technology Teacher, December/ January, 20-26.
31. Stanic, G.M.A. and J. Kilpatrick, 1992. Mathematics curriculum reform in the United States: A historical perspective. International Journal of Educational Research 17:407-417.
32. AAAS (American Association for the Advancement of Science). 1990. Science for all Americans. New York: Oxford University Press.
33. Barron, B.J.S., D.L. Schwartz, N.J. Vye, A. Moore, A. Petrosino, L. Zech, and J.D. Bransford. 1998. Doing with understanding: Lessons from research on problem- and projectbased learning. The Journal of the Learning Sciences 7(3/4): 271-311. Available at http://links.jstor.org/sici?sici=1050-8406%281998%297%3A3%2F4%3C271%3ADWULFR%3E2.0.CO%3B2-2 (retrieved October 31, 2013).
34. Barrows, H.S. 1996. Problem-based learning in medicine and beyond: A brief overview. In L. Wilkerson and H. Gilselaers (Eds.), Bringing problem-based learning to higher education: Theory and practice (pp. 3-12). San Francisco, CA: Jossey-Bass.
35. Berman, P. 1981. Educational change: An implementation paradigm. In R. Lehming and M. Kane (Eds.), Improving schools: Using what we know (pp. 253-286). London, UK: Sage.
36. Berman, P., and M.W. McLaughlin. 1976. Implementation of educational innovations. The Educational Forum 40:345-370.
37. Burghardt, M.D., D. Hecht, M. Russo, J. Lauckhardt, and M. Hacker. 2010. A study of mathematics infusion in middle school technology education classes. Journal of Technology Education 22(1): 58-74.
38. Bybee, R. 2010. Advancing STEM education: A 2020 vision. Technology and Engineering Teacher 70(1):30-35.
39. Crismond, D.P., and R.S. Adams. 2012. The informed design teaching and learning matrix. Journal of Engineering Education 101(4):738-797.
40. Dusenbury, L., R. Brannigan, M. Falco, and W.B. Hansen. 2003. A review of research on fidelity of implementation: Implications for drug abuse prevention in school settings. Health Education Research 18(2):237-256.
41. E3 Alliance. 2009. Case study of New Manor High School: Promising practices for comprehensive high schools. Available at http://mnths.manorisd.net/ourpages/auto/2012/3/7/39399794/MNTHS_Case%20Study.pdf (retrieved July 17, 2013).
42. ITEEA (International Technology and Engineering Educators Association). 1996. Technology for all Americans: Rationale and structure for the study of technology. Reston, VA: ITEEA.
43. ITEEA. 2000. Standards for technological literacy: Content for the study of technology. Reston, VA: ITEEA.
44. Kekelis, L.S., R.W. Ancheta, E. Heber, and J. Countryman. 2005. Bridging differences: How social relationships and racial diversity matter in a girls' technology program. Journal of Women and Minorities in Science and Engineering 11(3):231-246.
45. Kekelis L.S., and J. Wei. 2009. Role models matter: Promoting career exploration in afterschool programs. ITest white paper. Available at http://afterschoolconvening.itestlrc.edc.org/sites/afterschoolconvening.itestlrc.edc.org/files/ITEST_white_paper_10_Techbridge.pdf (retrieved January 15, 2013).
46. Klenk, P.A., G.A. Ybarra, and R.D. Dalton. 2012. Challenges of introducing engineering in after-school settings. Proceedings of the 2012 American Society for Engineering Education Annual Conference and Exposition. Available at http://search.asee.org/search/fetch?url=file%3A%2F%2Flocalhost%2FE%3A%2Fsearch%2Fconference%2FAC2012%2F4830.pdf&index=conference:papers&space=129746797203605791716676178& type=application%2Fpdf&charset= (retrieved January 15, 2013).
47. Koch, M., A. Georges, T. Gorges, and R. Fujii. 2010. Engaging youth with STEM professionals in afterschool programs. Meridian-A Kindergarten Through High School Information and Communication Technologies Journal. Available at www.ncsu.edu/meridian/winter2010/koch/index.htm (retrieved January 15, 2013).
48. Lachapelle, C.P., C.M. Cunningham, J. Jocz, A.E. Kay, P. Phadnis, J. Wertheimer, and R. Arteaga. 2011. Engineering is Elementary: An evaluation of years 4 through 6 field testing. Boston, MA: Museum of Science.
49. Maltese, A.V., and R.H. Tai. 2011. Pipeline persistence: The effects of school experiences on earning degrees in STEM. Science Education 95(5):877-907.
50. Nadelson, L.S., A. Seifert, A.J. Moll, and B. Coats. 2012. I-STEM summer institute: An integrated approach to teacher professional development in STEM. Boise State University, Boise, IN. ScholarWorks. Available at http://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=1092&context=cifs_facpubs (retrieved June 18, 2013).
51. NAE (National Academy of Engineering) and NRC (National Research Council). 2009. Engineering in K-12 Education: Understanding the Status and Improving the Prospects. Available at www.nap.edu/catalog.php?record_id=12635 (retrieved August 29, 2013).
52. NRC. 1989. Everybody counts: A report to the nation on the future of mathematics education. Washington: National Academy Press.
53. NRC. 2012a. Education for life and work: Developing transferable knowledge and skills in the 21st Century. Washington: National Academies Press. Available at www.nap.edu/catalog.php?record_id=13398 (retrieved September 25, 2012).
54. NRC. 2012b. Monitoring progress toward successful K-12 STEM education: A nation advancing? Washington: National Academies Press. Available at www.nap.edu/catalog.php?record_id=13509 (retrieved June 18, 2013).
55. O'Brien, S. 2010. A unique multi-disciplinary STEM K-5 teacher preparation program. Proceedings of the American Society for Engineering Education, Annual Conference and Exposition. Washington: ASEE.
56. O'Donnell, C. 2008. Defining, conceptualizing, and measuring fidelity of implementation and its relationship to outcomes in K-12 curriculum intervention research. Review of Educational Research 78(1):33-84.
57. Researchers Without Borders. 2012. Explore STEM school critical components. Chicago: The Center for Elementary Mathematics and Science Education, University of Chicago. Available at http://researcherswithoutborders.org/projects/understanding-stemschools/components (retrieved October 12, 2012).
58. Savery, J.R. 2006. Overview of problem-based learning: Definitions and distinctions. Interdisciplinary Journal of Problem-based Learning 1(1). Available at http://dx.doi.org/10.7771/1541-5015.1002 (retrieved October 31, 2013).
59. Strobel, J., and A. van Barneveld. 2009. When is PBL more effective? A meta-synthesis of meta-analyses comparing PBL to conventional classrooms. Interdisciplinary Journal of Problem-based Learning, 3(1). Available at http://dx.doi.org/10.7771/1541-5015.1046 (retrieved October 31, 2013).
60. Ancheta, R. 2008. 2008 qualitative and quantitative longitudinal evaluation of Techbridge.
61. Barker, B.S., G. Nugent, N. Grandgenett, and A. Hampton. 2008 (Spring). Examining 4-H robotics in the learning of science, engineering, and technology topics and the related student attitudes. Journal of Youth Development: Bridging Research and Practice 2(3). Article 0803FA001.
62. Baumgartner, E., and B.J. Reiser. 1997. Inquiry through design: Situating and supporting inquiry through design projects in high school science classrooms. Annual Meeting of the National Association for Research in Science Teaching, Oak Brook, Illinois.
63. Berlin, D.F., and H. Lee. 2005. Integrating science and mathematics education: Historical analysis. School Science and Mathematics 105(1):15-24.
64. Berlin, D.F., and H. Lee. 2003. A bibliography of integrated science and mathematics teaching and learning literature, Vol. 2: 1991-2001. School Science and Mathematics Association Topics for Teachers Series Number 7. Columbus, OH: ERIC Clearinghouse for Science, Mathematics, and Environmental Education.
65. Bozick, R., and B. Dalton. 2013. Balancing career and technical education with academic coursework: The consequences for mathematics achievement in high school. Educational Evaluation and Policy Analysis 35(2):123-138.
66. Brown, B. 2004. Discursive identity: Assimilation into the culture of science and its implications for minority students. Journal of Research in Scence Teaching 41(8):810-834.
67. Brown, B. 2006. "It isn't no slang that can be said about this stuff ": Language, identity, and apropriating science discourse. Journal of Research in Scence Teaching 43(1):96-126.
68. Burghardt, M.D., D. Hecht, M. Russo, J. Lauckhardt, and M. Hacker. 2010. A study of mathematics infusion in middle school technology education classes. Journal of Technology Education 22(1):58-74.
69. Calabrese Barton, A., and E. Tan. 2010a. We be burnin': Agency, identity and learning in a green energy program. Journal of the Learning Sciences 19(2):187-229.
70. Calabrese Barton, A., and E. Tan. 2010b. The new green roof: Activism, science and greening the community. Journal of Canadian Journal of Science, Mathematics and Technology Education 10(3): 207-222.
71. Calabrese Barton, A., H. Kang, E. Tan, T. O'Neill, and C. Brecklin. 2012. Crafting a future in science: Tracing middle school girls' identity work over time and space. American Education Research Journal 50(1):37-75.
72. Carlone, H.B., J. Haun-Frank, and A. Webb. 2011. Assessing equity beyond knowledge- and skills based outcomes: A comparative ethnography of two fourth-grade reform-based science classrooms. Journal of Research in Science Teaching 48(5):459-485.
73. Chi, B., and J.Z. Snow. 2010. Project Exploration (PE): 10-year retrospective program evaluation summative report, submitted to the Noyce Foundation. Available at www.projectexploration.org/about-us/publications/10 years (retrieved January 21, 2014).
74. Crismond, D. 2001. Learning and using science ideas when doing investigate-and-redesign tasks: A study of naïve, novice and expert designers doing constrained and scaffolded design work. Journal of Research in Science Teaching 38(7):791-820. doi:10.1002/tea.1032.
75. Crismond, D., and R. Adams. 2012. The informed design teaching and learning matrix. Journal of Engineering Education 101(4):738-797.
76. Czerniak, C.M., W.B. Weber, A. Sandmann, and J. Ahern. 1999. A literature review of science and mathematics integration. School Science and Mathematics 99(8):421-430.
77. Dickes, A.C., and P. Sengupta. 2012. Learning natural selection in 4th grade with multiagent-based computational models. Research in Science Education 43(3):921-953.
78. DiSessa, A. 2000. Changing minds. Cambridge, MA: MIT Press.
79. Fortus, D., R.C. Dershimer, J. Krajcik, R.W. Marx, and R. Mamlok-Naaman. 2005. Designbased science and real-world problem-solving. International Journal of Science Education 27(7):855-879.
80. Fortus, D., R.C. Dershimer, J. Krajcik, R.W. Marx, and R. Mamlok-Naaman. 2004. Design based science and student learning. Journal of Research in Science Teaching 41(10):1081.
81. Hartzler, D.S. 2000. A meta-analysis of studies conducted on integrated curriculum programs and their effects on student achievement. Ed.D. Dissertation, Indiana University, Bloomington.
82. Hedges, L.V., J.A. Shymansky, and G. Woodworth. 1989. A practical guide to modern methods of meta-analysis. Washington: National Science Teachers Association.
83. Hidi, S., and M. Ainley. 2008. Interest and self-regulation: Relationships between two variables that influence learning. In D. H. Schunk and B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and application (pp. 77-109). Mahwah, NJ: Erlbaum.
84. Hidi, S., and K.A. Renninger. 2006. The four-phase model of interest development. Educational Psychologist 41(2):111-127.
85. High, K., J. Thomas, and A. Redmond. August, 2010. Expanding middle school science and math learning: Measuring the effect of multiple engineering projects. Paper presented at the P-12 Engineering and Design Education Research Summit, Seaside, OR.
86. Hmelo-Silver, C.E., S. Marathe, and L. Liu. 2007. Fish swim, rocks sit, lungs breathe: Expert-novice understanding of complex systems. Journal of the Learning Sciences 16(3):307-331. doi: 10.1080/10508400701413401.
87. Holland, D., W. Lachicotte Jr., D. Skinner, and C. Cain. 2001. Identity and agency in cultural worlds. Cambridge, MA: Harvard University Press.
88. Hurley, M.M. 2001. Reviewing integrated science and mathematics: The search for evidence and definitions from new perspectives. School Science and Mathematics 101(5):259-268.
89. Kolodner, J.L. 2002. Facilitating the learning of design practices: Lessons learned from an inquiry into science education. Available at http://scholar.lib.vt.edu/ejournals/JITE/v39n3/kolodner.html. (retrieved August 1, 2013).
90. Kozma, R. 2003. The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction 13:205-226.
91. Krapp, A. 2007. An educational-psychological conceptualization of interest. International Journal of Educational and Vocational Guidance 7:5-21.
92. Lehrer, R., and L. Schauble. 2000. Modeling in mathematics and science. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 5, pp. 101-159). Mahwah, NJ: Lawrence Erlbaum Associates.
93. Lehrer, R., and L. Schauble. 2006. Scientific thinking and science literacy: Supporting development in learning in contexts. In W. Damon, R. M. Lerner, K. A. Renninger and I. E. Sigel (Eds.), Handbook of child psychology, 6th ed. (Vol. 4). Hoboken, NJ: John Wiley and Sons.
94. Lehrer, R., L. Schauble, and D. Lucas. 2008. Supporting development of the epistemology of inquiry. Cognitive Development 24:512-529.
95. Martin, F.G., M. Scribner-MacLean, S. Christy, I. Rudnicki, R. Londhe, C. Manning, and I.F. Goodman. 2011. Reflections on iCODE: Using web technology and hands-on projects to engage urban youth in computer science and engineering. Auton Robot 30:265-280.
96. Mehalik, M., Y. Doppelt, and C.D. Schunn. 2005. Addressing performance and equity of a design-based, systems approach for teaching science in eighth grade. Annual Meeting of the American Educational Research Association, Montreal.
97. Mehalik, M.M., Y. Doppelt, and C.D. Schunn. 2008. Middle-school science through design based learning versus scripted inquiry: Better overall science concept learning and equity gap reduction. Journal of Engineering Education 97(1):71-85.
98. Melchoir, A., F. Cohen, T. Cutter, and T. Leavitt. 2005. More than robots: An evaluation of the FIRST Robotics competition: Participant and institutional impacts. Available at http://dev1.raiderrobotix.org/wp-content/uploads/2012/08/FRC_eval_finalrpt.pdf (retrieved January 14, 2014).
99. Monterastelli, T., T. Bayles, and J. Ross. 2011. High school outreach program: Attracting young ladies with "engineering in health care." Proceedings of the American Society for Engineering Education, 2011 Annual Conference and Exposition, Vancouver.
100. NAE (National Academy of Engineering) and NRC (National Research Council). 2009. Engineering in K-12 education: Understanding the status and improving the prospects. L. Katehi, G. Pearson, and M. Feder (Eds.). Committee on K-12 Engineering Education. Washington: National Academies Press.
101. NCTL (National Center for Technological Literacy). 2005. Engineering the Future: Designing the World of the 21st Century. Boston, MA: Museum of Science.
102. Nathan, M.J., R. Srisurichan, C. Walkington, M. Wolfgram, C. Williams, and M.W. Alibali. 2013. Cohesion as a mechanism of STEM integration. Journal of Engineering Education. (Special issue on representation in engineering education.)
103. Nugent, G., B. Barker, N. Grandgennett, and V. Adamchuk. 2010. Impact of robotics and geospatial technology interventions on youth STEM learning and attitudes. Journal of Research in Technology Education 42(4):391-408.
104. Pang, J., and R. Good. 2000. A review of the integration of science and mathematics: Implications for further research. School Science and Mathematics 100(2):73-82.
105. Penner, D.E., N.D. Giles, R. Lehrer, and L. Schauble. 1997. Building functional models: Designing an elbow. Journal of Research in Science Teaching 34(2):1-20.
106. Penner, D.E., R. Lehrer, and L. Schauble. 1998. From physical models to biomechanics: A design-based modeling approach. Journal of the Learning Sciences 7:429-449.
107. Petrosino, A.J., V. Svihla, and S. Brophy. 2008. Engineering skills for understanding and improving K-12 engineering education in the United States. Presented at the National Academy of Engineering/National Research Council workshop on K-12 Engineering Education. Washington, DC.
108. Plotowski, P., M.A. Sheline, M. Dill, and J. Noble. 2008. Empowering girls: Measuring the impact of science technology and engineering preview summer camps (STEPS). Proceedings, American Society for Engineering Education. 2008 Annual Conference and Exposition, Pittsburgh.
109. Rahm, J. 2008. Urban youths' hybrid identity projects in science practices at the margin: A look inside a school-museum-scientist partnership project and an afterschool science program. Cultural Studies of Science Education 3(1):97-121.
110. Renninger, K.A. 2009. Interest and identity development in instruction: An inductive model. Educational Psychologist 44(2):1-14.
111. Renninger, K.A. 2010. Working with and cultivating interest, self-efficacy, and self-regulation. In D. Preiss and R. Sternberg (Eds.), Innovations in educational psychology: Perspectives on learning, teaching and human development (pp. 107-138). New York: Springer.
112. Renninger, K.A., and S. Hidi. 2011. Revisiting the conceptualization, measurement, and generation of interest. Educational Psychologist 46(3):168-184.
113. Sadler, P.M., H.P. Coyle, and M. Schwartz. 2000. Engineering competitions in the middle school classroom: Key elements in developing effective design challenges. Journal of the Learning Sciences 9(3):299-327. doi:10.11207/S15327809JLS0903_3.
114. Sansone, C. 2009. What's interest got to do with it?: Potential trade-offs in the self-regulation of motivation. In J. P. Forgas, R. Baumeister, and D. Tice (Eds.), Psychology of self-regulation: Cognitive, affective, and motivational processes (pp. 35-51). New York: Psychology Press.
115. Schauble, L., R. Glaser, R.A. Duschl, S. Schulze, and J. John. 1995. Students' understanding of the objectives and procedures of experimentation in the science classroom. Journal of the Learning Sciences 4(2):131-166.
116. Sengupta, P., and U. Wilensky. 2011. Lowering the learning threshold: Multi-agent-based models and learning electricity. In M.S. Khine and M. Saleh (Eds.). Models and modeling in science education (pp. 141-171). Netherlands: Springer.
117. Sherin, B. 2001. How students understand physics equations. Cognition and Instruction 1:479-541.
118. Stone, J.R., C. Alfeld, and D. Pearson. 2008. Rigor and relevance: Enhancing high school students' math skills through career and technical education. American Educational Research Journal 45(3):767-795.
119. Tran, N.A., and M.J. Nathan. 2010a. An investigation of the relationship between precollege engineering studies and student achievement in science and mathematics. Journal of Engineering Education 99(2):143-157.
120. Tran, N., and M.J. Nathan. 2010b. Effects of pre-college engineering studies on mathematics and science achievements for high school students. International Journal of Engineering Education 26(5):1049-1060. (Special issue on applications of engineering education research.)
121. Wilensky, U. 2003. Statistical mechanics for secondary school: The GasLab modeling toolkit. International Journal of Computers for Mathematical Learning 8(1):1-41.
122. Wilensky, U., and K. Reisman. 2006. Thinking like a wolf, a sheep, or a firefly: Learning biology through constructing and testing computational theories-an embodied modeling approach. Cognition and Instruction 24(2):171-209.
123. Wortham, S. 2006. Learning identity: The joint emergence of social identification and academic learning. New York: Cambridge University Press.
124. Ainsworth, S.E., P.A. Bibby, and D.J. Wood. 2002. Examining the effects of different multiple representational systems in learning primary mathematics. Journal of the Learning Sciences 11(1): 25-62.
125. Anderson, J.R. 1996. ACT: A simple theory of complex cognition. American Psychologist 51(4): 355-365.
126. Anderson, J.R., D. Bothell, M.D. Byrne, S. Douglass, C. Lebiere, and Y. Qin. 2004. An integrated theory of the mind. Psychological Review 111(4):1036-1060.
127. Azevedo, F.S. 2006. Personal excursions: Investigating the dynamics of student engagement. International Journal of Computers for Mathematical Learning 11:57-98.
128. Barron, B., C. Kennedy-Martin, L. Takeuchi, and R. Fithian. 2009. Parents as learning partners in the development of technological fluency. International Journal of Learning and Media 1(2):55-77.
129. Bobis, J., J. Sweller, and M. Cooper, 1993. Cognitive load effects in a primary school geometry task. Learning and Instruction 3:1-21.
130. Bolger, M.S., M. Kobiela, P.J. Weinberg, and R. Lehrer. 2012. Children's mechanistic reasoning. Cognition and Instruction 30(2):170-206.
131. Bolger, M.S., M.A. Kobiela, P.J. Weinberg, and R. Lehrer. 2010. Embodied experiences within an engineering curriculum. Proceedings of the 9th International Conference of the Learning Sciences (ICLS 2010), Vol. 1, 706-713. International Society of the Learning Sciences: Chicago, IL.
132. Bolger, M.S., P.J. Weinberg, M.A. Kobiela, R.J. Rouse, and R. Lehrer. 2011, April. Embodied experiences as a resource for children's mechanistic and mathematical reasoning in an engineering curriculum. Paper presented at the 2011 Meeting of the National Association for Research in Science Teaching, Orlando, FL.
133. Bottge, B.A., E. Rueda, P.T. LaRoque, R.C. Serlin, and J. Kwon. 2007. Integrating reformoriented math instruction in special education settings. Learning Disabilities Research and Practice 22:96-109.
134. Bricker, L.A., and P. Bell. 2012. "GodMode is his video game name": Situating learning and identity in structures of social practice. Cultural Studies of Science Education 28:1-20. doi:10.1007/s11422-012-9410-6.
135. Brickhouse, N.W., and J.T. Potter. 2001. Young women's scientific identity formation in an urban context. Journal of Research in Science Teaching 38:965-980. doi: 10.1002/ tea.1041.
136. Brickhouse, N.W. 2001. Embodying science: A feminist perspective on learning. Journal of Research in Science Teaching 38(3):282-295.
137. Brickhouse, N.W., P. Lowery, and K. Schultz. 2000. What kind of a girl does science? The construction of school science identities. Journal of Research in Science Teaching 37:441-458. doi: 10.1002/(SICI)1098-2736200005)37:5<441::AID-TEA4>3.0.CO;2-3.
138. Buxton, C. 2005. Creating a culture of academic success in an urban science and math magnet high school. Science Education 89(3):392-417.
139. Calabrese Barton, A. 1998. Teaching science with homeless children: Pedagogy, representation, and identity. Journal of Research in Science Teaching 35:379-394.
140. Calabrese Barton, A., and E. Tan. 2009. Funds of knowledge, discourses and hybrid space. Journal of Research in Science Teaching 46(1):50-73.
141. Calabrese Barton, A., and E. Tan. 2010a. We be burnin': Agency, identity and learning. Journal of the Learning Sciences 19:187-229.
142. Calabrese Barton, A., and E. Tan. 2010b. The new green roof: Activism, science and greening the community. Journal of Canadian Journal of Science, Mathematics and Technology Education 10(3):207-222.
143. Carlone, H.B., J. Haun-Frank, and A. Webb. 2011. Assessing equity beyond knowledge- and skills based outcomes: A comparative ethnography of two fourth-grade reform-based science classrooms. Journal of Research in Science Teaching 48(5):459-485.
144. Case, R., and Y. Okamoto. 1996. The role of central conceptual structures in the development of children's thought. Monographs of the Society for Research in Child Development 61(1-2, Serial No. 246).
145. Chao, S.J., J. W. Stigler, and J.A. Woodward. 2000. The effects of physical materials on kindergartners' learning of number concepts. Cognition and Instruction 18(3):285-316.
146. Chandler, P., and J. Sweller. 1992. The split-attention effect as a factor in the design of instruction. British Journal of Educational Psychology 62:233-246.
147. Chandler, P., and J. Sweller. 1996. Cognitive load while learning to use a computer program. Applied Cognitive Psychology 10:151-170.
148. Chi, M.T.H., P.J. Feltovich, and R. Glaser. 1981. Categorization and representation of physics problems by experts and novices. Cognitive Science 5(2):121-152.
149. Clements, D.H. 2000. Concrete manipulatives, concrete ideas. Contemporary Issues in Early Childhood 1(1):5-60.
150. Crismond, D., and R. Adams. 2012. The informed design teaching and learning matrix. Journal of Engineering Education 101(4):738-797.
151. Cronbach, L., and R. Snow. 1977. Aptitudes and instructional methods: A handbook for research on interactions. New York: Irvington.
152. Danish, J.A., and N. Enyedy. 2007. Negotiated representational mediators: How young children decide what to include in their science representations. Science Education 91:1-35.
153. Dehaene, S., E. Spelke, P. Pinel, R. Stanescu, and S. Tsivkin. 1999. Sources of mathematical thinking: Behavioral and brain-imaging evidence. Science 284:970-974.
154. diSessa, A.A. 2004. Meta-representation: Native competence and targets for instruction. Cognition and Instruction 22(3):293-331.
155. Durik, A., and J.M. Harackiewicz. 2007. Different strokes for different folks: How individual interest moderates the effects of situational factors on task interest. Journal of Educational Psychology 99(3):597-610.
156. Ellis, S.A., and M. Gauvain. 1992. Social and cultural influences on children's collaborative interactions. In L. T. Winegar and J. Valsiner (Eds.), Children's development within social context: Research and methodology (Vol. 2, pp. 155-180). Hillsdale, NJ: Erlbaum.
157. Ericsson, K.A., W.G. Chase, and S. Faloon. 1980. Acquisition of a memory skill. Science 208:1181-1182.
158. Flum, H., and A. Kaplan. 2006. Exploratory orientation as an educational goal. Educational Psychologist 41(2):9-110.
159. Ford, M.J. 2010. Critique in academic disciplines and active learning of academic content. Cambridge Journal of Education 40(3):265-280.
160. Ford, M.J., and E.A. Forman. 2006. Refining disciplinary learning in classroom contexts. Review of Research in Education 30:1-32.
161. Fortus, D., R.C. Dershimer, J. Krajcik, R.W. Marx, and R. Mamlok-Naaman. 2004. Design based science and student learning. Journal of Research in Science Teaching 41(10):1081.
162. Furman, M., and A. Calabrese Barton. 2006. Capturing urban student voices in the creation of a science minidocumentary. Journal of Research on Science Teaching 43:667-694. doi: 10.1002/tea.20164.
163. Fuson, K.C., W.M. Carroll, and J.V. Drueck. 2000. Achievement results for second and third graders using the Standards-based curriculum Everyday Mathematics. Journal for Research in Mathematics Education 31(3):277-295.
164. Gauvain, M., and B. Rogoff. 1989. Collaborative problem solving and children's planning skills. Developmental Psychology 25:139-151.
165. Gauvain, M. 2001. The social context of cognitive development. New York: Guilford.
166. Gauvain, M. 1992. Social influences on the development of planning in advance and during action. International Journal of Behavioral Development 15:139-151.
167. Goldstone, R.L., and Y. Sakamoto. 2003. The transfer of abstract principles governing complex adaptive systems. Cognitive Psychology 46(4):414-466.
168. Goldstone, R.L., and J. . Son. 2005. The transfer of scientific principles using concrete and idealized simulations. Journal of the Learning Sciences 14(1):69-110.
169. Graesser, A.C., D.F. Halpern, and M. Hakel. 2008. 25 principles of learning. Washington: Task Force on Lifelong Learning at Work and at Home. Available at www.psyc.memphis.edu/learning/whatweknow/index.shtml (retrieved July 29, 2013).
170. Greeno, J.G., and R.P. Hall. 1997. Practicing representation. Phi Delta Kappan 78(5):361-367.
171. Griffin, S., R. Case, and R. Siegler. 1994. Rightstart: Providing the central conceptual prerequisites for first formal learning of arithmetic to students at risk for school failure. In K. McGilly (Ed.), Classroom lessons: Integrating cognitive theory and classroom practice (pp. 24-49). Cambridge, MA: MIT Press.
172. Kaminski, J.A., V.M. Sloutsky, and A.F. Heckler. 2006a. Effects of concreteness on representation: An explanation for differential transfer. Proceedings of the XXVIII Annual Conference of the Cognitive Science Society, pp. 1581-1586. Mahwah, NJ: Erlbaum.
173. Kaminski, J.A., V.M. Sloutsky, and A.F. Heckler. 2006b. Do children need concrete instantiations to learn an abstract concept? Proceedings of the XXVIII Annual Conference of the Cognitive Science Society, pp. 411-416. Mahwah, NJ: Erlbaum.
174. Kaminski, J.A., V.M. Sloutsky, and A. Heckler. 2009. Transfer of mathematical knowledge: The portability of generic instantiations. Child Development Perspectives 3(3):151-155.
175. Kanter, D.E. 2010. Doing the project and learning the content: Designing project-based science curricula for meaningful understanding. Science Education 94(3):525-551.
176. Karabenick, S.A., and R.S. Newman. 2006. Help seeking in academic settings: Goals, groups, and contexts. Mahwah, NJ: Erlbaum.
177. Kirsh, D., and P. Maglio. 1994. On distinguishing epistemic from pragmatic action. Cognitive Science 18(4):513-549.
178. Koedinger, K.R., A.C. Corbett, and C. Perfetti. 2012. The Knowledge-Learning-Instruction (KLI) framework: Bridging the science-practice chasm to enhance robust student learning. Cognitive Science 36(5):757-798.
179. Kolodner, J.L., P.J. Camp, D. Crismond, B. Fasse, J. Gray, J. Holbrook, S. Puntambekar, and M. Ryan. 2003. Problem-based learning meets case-based reasoning in the middleschool science classroom: Putting Learning by Design™ into practice. Journal of the Learning Sciences 12(4):495-547. doi: 10.1207/S15327809JLS1204_2.
180. Kontra, C.E., S. Goldin-Meadow, and S.L. Beilock. 2012. Embodied learning across the life span. Topics in Cognitive Science 4:731-739.
181. Kozma, R. 2003. The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction 13:205-226.
182. Kozma, R., E. Chin, J. Russell, and N. Marx. 2000. The role of representations and tools in the chemistry laboratory and their implications for chemistry learning. Journal of the Learning Sciences 9(3):105-144.
183. Lancy, D.F., S. Gaskins, and J. Bock. (Eds.). 2010. The anthropology of learning in childhood. Lanham, MD: Alta-Mira Press.
184. Latour, B. 1999. Pandora's hope. Essays on the reality of science studies. Cambridge, MA: Harvard University Press.
185. Lehrer, R., and R. Lesh. 2013. Mathematical learning. In I.B. Weiner (Ed.), Handbook of psychology, 2nd ed. (pp. 283-320). New York: Wiley.
186. Lehrer, R., and L. Schauble. 2012. Seeding evolutionary thinking by engaging children in modeling its foundations. Science Education 96(4):701-724.
187. Lehrer, R., M. Kobiela, and P. Weinberg. 2013. Cultivating inquiry about space in a middle school mathematics classroom. International Journal on Mathematics Education (ZDM) 45(3):365-376.
188. Light, P., and K. Littleton. 1999. Social processes in children's learning. Cambridge, England: Cambridge University Press.
189. Manz, E. 2012. Understanding the codevelopment of modeling practice and ecological knowledge. Science Education 96(6):1071-1105.
190. Martin, T., and D.L. Schwartz. 2005. Physically distributed learning: Adapting and reinterpreting physical environments in the development of fraction concepts. Cognitive Science 29(4):587-625.
191. Mayer, R.E. 2001. Multimedia Learning. New York: Cambridge University Press.
192. Mayer, R.E., and R.B. Anderson. 1991. Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology 83:484-490.
193. Mayer, R.E., and R.B. Anderson. 1992. The instructive animation: Helping students build connections between words and pictures in multimedia learning. Journal of Educational Psychology 84:444-452.
194. Mayer, R.E., and R. Moreno. 1998. A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology 90:312-320.
195. Metz, K.E. 1985. The development of children's problem solving in a gears task: A problem space perspective. Cognitive Science 9(4):431-471.
196. Miller, G.A. 1956. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review 63(2):81-97.
197. Mitchell, M. 1993. Situational interest: Its multifaceted structure in the secondary school mathematics classroom. Journal of Educational Psychology 85:424-436.
198. Moreno, R., and R.E. Mayer. 1999. Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology 91:358-368.
199. Mwangi, W., and J. Sweller. 1998. Learning to solve compare word problems: The effect of example format and generating self-explanations. Cognition and Instruction 16:173-199.
200. NAE (National Academy of Engineering) and NRC (National Research Council). 2009. Engineering in K-12 Education: Understanding the status and improving the prospects. Available at www.nap.edu/catalog.php?record_id=12635 (retrieved September 6, 2013).
201. Nathan, M.J., and K.R. Koedinger. 2000. Teachers' and researchers' beliefs about the development of algebraic reasoning. Journal for Research in Mathematics Education 31:168-190.
202. Nathan, M.J., and A.J. Petrosino. 2003. expert blind spot among preservice teachers. American Educational Research Journal 40(4):905-928.
203. Nathan, M.J., R. Srisurichan, C. Walkington, M. Wolfgram, C. Williams, and M.W. Alibali. 2013. Cohesion as a mechanism of STEM integration. Journal of Engineering Education 102(1):1-216. (Special issue on representation in engineering education.)
204. Nathan, M.J., M. Wolfgram, R. Srisurichan, and M.W. Alibali. 2011. Model engagements in precollege engineering: Tracking mathematics and science across symbols, sketches, software, silicon, and wood. Proceedings of the American Society of Engineering Education (ASEE) 2011 (Paper no. AC2011-315 pp. 1-31). Vancouver, BC: ASEE Publications.
205. Nordine, J., J. Krajcik, and D. Fortus. 2010. Transforming energy instruction in middle school to support integrated understanding and future learning. Science Education 95(4):670-699.
206. NRC (National Research Council). 2000. How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington: The National Academies Press.
207. NRC. 2001. Knowing What Students Know: The Science and Design of Educational Assessment. Committee on the Foundations of Assessment. J. Pelligrino, N. Chudowsky, and R. Glaser (Eds). Board on Testing and Assessment, Center for Education. Division of Behavioral and Social Sciences and Education. Washington: The National Academies Press.
208. NRC. 2007. Taking Science to School: Learning and Teaching Science in Grades K-8. Committee on Science Learning, Kindergarten Through Eighth Grade. R. A. Duschl, H. A. Schweingruber, and A. W. Shouse (Eds.). Board on Science Education, Center for Education. Division of Behavioral and Social Sciences and Education. Washington: The National Academies Press.
209. NRC. 2012. Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century. Committee on Defining Deeper Learning and 21st Century Skills. J.W. Pelligrino and M.L. Hilton (Eds.). Board on Testing and Assessment and Board on Science Education, Division of Behavioral and Social Sciences and Education. Washington: The National Academies Press.
210. Palmer, D.H. 2009. Student interest generated during an inquiry skills lesson. Journal of Research in Science Teaching 46(2):147-165.
211. Palmer, D.H. 2004. Situational interest and the attitudes towards science of primary teacher education students. International Journal of Science Education 26(7):895-908.
212. Piaget, J. 1952. The origins of intelligence in children. New York: Norton.
213. Pressick-Killborn, K., and R. Walker. 2002. The social construction of interest in a learning community. In D.M. McInerney and S. Van Etten (Eds.), Research on sociocultural influences on motivation and learning (Vol. 2, pp. 153-182). Greenwich, CT: Information Age.
214. Prevost, A., M.J. Nathan, B. Stein, N. Tran, and L.A. Phelps. 2009. Integration of mathematics in pre-college engineering: the search for explicit connections. Proceedings of the American Society of Engineering Education (ASEE) 2009 (Paper no. AC 2009-1790, pp. 1-27). Austin, TX: ASEE Publications.
215. Prevost, A., M.J. Nathan, B. Stein, and L.A. Phelps. 2010. The enacted curriculum: A video based analysis of instruction and learning in high school engineering classrooms. Proceedings of the American Society of Engineering Education (ASEE) 2010 (Paper no. AC 2010-2011). Louisville, KY: ASEE Publications.
216. Puntambekar, S., and J.L. Kolodner. 2005. Toward implementing distributed scaffolding: Helping students learn science from design. Journal of Research in Science Teaching 42(2):185-217.
217. Rahm, J. 2008. Urban youths' hybrid identity projects in science practices at the margin: A look inside a school-museum-scientist partnership project and an afterschool science program. Cultural Studies of Science Education, 3(1):97-121.
218. Rahm, J., and D. Ash. 2008. Learning environments at the margin: Case studies of disenfranchised youth doing science in an aquarium and an after-school program. Learning Environments Research 11(1):49-62. doi: 10.1007/s10984-007-9037-9.
219. Rau, M.A., R. Scheines, V. Aleven, and N. Rummel. 2013. Does conceptual understanding enhance acquisition of fluency-or vice versa? Searching for models to investigate mediators. In S.K. D'Mello, R.A. Calvo, and A. Olney (Eds.), Proceedings of the 6th International Conference on Educational Data Mining (EDM 2013) (pp. 161-169).
220. Redish, E.F., and K.A. Smith. 2008. Looking beyond content: Skill development for engineers. Journal of Engineering Education 97:295-307.
221. Renninger, K.A. 2010. Working with and cultivating interest, self-efficacy, and self-regulation. In D. Preiss and R. Sternberg (Eds.), Innovations in educational psychology: Perspectives on learning, teaching and human development (pp. 107-138). New York: Springer.
222. Renninger, K.A., and N. Granott. 2005. The process of scaffolding in learning and development. New Ideas in Psychology 23:111-114.
223. Renninger, K.A., and S. Hidi. 2002. Student interest and achievement: Developmental issues raised by a case study. In A. Wigfield and J. S. Eccles (Eds.), Development of achievement motivation (pp. 173-195). New York: Academic Press.
224. Renninger, K.A., and R. Lipstein. 2006. Come si sviluppa l'interesse per la scrittura; cosa vogliono gli studenti e di cosa hanno bisogno? [Developing interest for writing: What do students want and what do students need?] Età Evolutiva 44(84):65-83.
225. Renninger, K.A., and K. Riley. 2013. Interest, cognition, and the case of L- and science. In S. Kreitler (Ed.). Cognition and motivation: Forging an interdisciplinary perspective (pp. 352-382). New York: Cambridge University Press.
226. Renninger, K.A., and S. Su. 2012. Interest and its development. In R. Ryan (Ed.), Oxford Handbook of Motivation (pp. 167-187). New York: Oxford University Press.
227. Richland, L.E., O. Zur, and K.J. Holyoak. 2007. Cognitive supports for analogy in the mathematics classroom. Science 316:1128-1129.
228. Schnittka, C., and R. Bell. 2011. Engineering design and conceptual change in science: Addressing thermal energy and heat transfer in eighth grade. International Journal of Science Education 33(13):1861-1887.
229. Schwartz, D. 1995. The emergence of abstract representations in dyad problem solving. Journal of the Learning Sciences 4(3):321-354.
230. Serlin, R.C., and J.R. Levin. 1980. Identifying regions of significance in aptitude by treatment research. American Educational Research Journal 17:389-399.
231. Slavin, R. 1983. When does cooperative learning increase student achievement? Psychological Bulletin 94:429-445.
232. Sloutsky, V.M., J.A. Kaminski, and A.F. Heckler. 2005. The advantage of simple symbols for learning and transfer. Psychonomic Bulletin and Review 12(3):508-513.
233. Stenning, K., and J. Oberlander. 1995. A cognitive theory of graphical and linguistic reasoning: Logic and implementation. Cognitive Science 19:97-140.
234. Stevens, R., S. Wineburg, L.R. Herrenkohl, and P. Bell. 2005. Comparative understanding of school subjects: Past, present, and future. Review of Educational Research 75(2):125-157.
235. Sweller, J., P. Chandler, P. Tierney, and M. Cooper. 1990. Cognitive load and selective attention as factors in the structuring of technical material. Journal of Experimental Psychology: General 119:176-192.
236. Sweller, J., J.J.G. van Merrienboer, and F.G.W.C. Paas. 1998. Cognitive architecture and instructional design. Educational Psychology Review 10:251-296.
237. Tabachneck, H. 1992. Computational differences in mental representations: Effects of mode of data presentation on reasoning and understanding. Doctoral Dissertation. Carnegie Mellon University.
238. Tabachneck, H.J.M., A.M. Leonardo, and H.A. Simon. 1994. How does an expert use a graph? A model of visual and verbal inferencing in economics. Proceedings of the 16th Annual Conference of the Cognitive Science Society, pp. 842-847.
239. Uttal, D.H., K.V. Scudder, and J.S. DeLoache. 1997. Manipulatives as symbols: A new perspective on the use of concrete objects to teach mathematics. Journal of Applied Developmental Psychology 18(1):37-54.
240. Vygotsky, L.S. 1978. Mind in Society: The Development of Higher Psychological Processes. M. Cole, V. John-Steiner, S. Scribner, and E. Souberman (Eds.). Cambridge, MA: Harvard University Press.
241. Walkington, C.A., M.J. Nathan, M. Wolfgram, M.W. Alibali, and R. Srisurichan. In press. Bridges and barriers to constructing conceptual cohesion across modalities and temporalities: Challenges of STEM integration in the precollege engineering classroom. In J. Strobel, S. Purzer and M. Cardella (Eds.), Engineering in PreCollege Settings: Research into Practice. Rotterdam, Netherlands: Sense Publishers.
242. Welty, K., L. Katehi, G. Pearson, and M. Feder. 2008. Analysis of K-12 engineering education curricula in the United States: A preliminary report. American Society for Engineeering Education, Proceedings of the 2008 Annual Conference and Exposition.
243. Wood, D.J., and D. Middleton. 1975. A study of assisted problem solving. British Journal of Psychology 66:181-191.
244. Wood, D.J., J.S. Bruner, and G. Ross. 1976. The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry 17(2):89-100.
245. Wood, D.J., H. Wood, and D. Middleton. 1978. An experimental evaluation of four face-toface teaching strategies. International Journal of Behavioral Development 2:131-147.
246. Abts, L., E. Ball, and R. Reshetar. 2013. Portfolio and rubrics for assessing STEM learning. Paper accepted for presentation at the AP Annual Conference, Las Vegas, Nevada, July 2013.
247. AERA (American Educational Research Association), APA (American Psychological Association), and NCME (National Council on Measurement in Education). 1999. Standards for Psychological Testing. Washington: American Educational Research Association.
248. Baker, D.R. 1991. A summary of research in science education-1998. Science Education 75:1-35.
249. Basista, B., and S. Mathews. 2002. Integrated science and mathematics professional development programs. School Science and Mathematics 102(7):359-370.
250. Berman, P., M.W. McLaughlin, G.V. Bass-Golod, E. Pauly, and G.L. Zellman. 1997. Federal Programs Suppporting Education Change. Vol. 7 Factors Affecting Implementation and Continuation. Report R-1589/7-HEW. Santa Monica, CA: RAND Corp.
251. Carr, R.L., and J. Strobel. 2011, April. Integrating engineering into secondary math and science curriculum: A course for preparing teachers. IEEE 1st Integrated STEM Education Conference, Ewing, NJ.
252. CBMS (Conference Board of the Mathematical Sciences). 2012. The mathematical education of teachers II. Available at http://cbmsweb.org/MET2/index.htm (retrieved July 18, 2013).
253. College Board. 2013. AP Biology-Course and Exam Description. Effective Fall 2012. Revised Edition. Available at http://media.collegeboard.com/digitalServices/pdf/ap/IN120084785_BiologyCED_Effective_Fall_2012_Revised_lkd.pdf (retrieved September 5, 2013).
254. Confrey, J., and A. Maloney. 2011. Engineering (for) effectiveness in mathematics education. Intervention at the instructional core in an era of common core standards. Paper presented for the workshop of the Committee on Highly Successful Schools or Programs for K-12 STEM Education. National Research Council, Washington, DC, May 10-12, 2011.
255. Crismond, D. 2001. Learning and using science ideas when doing investigate-and-redesign tasks. A study of naïve, novice, and expert designers doing constrained and scaffolded design work. Journal of Research in Science Teaching 38(7):791-820.
256. CSDE (Connecticut State Department of Education). 2009. "Enzyme Investigation." CAPT Science 2009 Administration. Released Items and Scored Student Responses. Available at www.csde.state.ct.us/public/cedar/assessment/capt/resources/released_items/2009/ReleaseItems_state_082709.pdf (retrieved September 5, 2013).
257. CTETE (Council on Technology and Engineering Teacher Education). 2012. Technology & Engineering Teacher Education Directory: Institutions, Degree Data, and Personnel. 2012-2013, 51st Edition. Available at http://media.wix.com/ugd/68f68f_5c157e30d8ded7fc2709c7b2f4d3e1df.pdf?dn=51%2BTETE%2BDirectory%2B2012-2013.pdf (retrieved February 21, 2013).
258. Daugherty, J. 2009. Engineering professional development design for secondary school teachers: A multiple case study. Journal of Technology Education 21(1):10-24.
259. Davidson, M., H. Evens, and R. McCormick. 1998. Bridging the gap: The use of concepts from science and mathematics in design and technology at KS 3. Available at https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/1419/1/davidson98.pdf (retrieved November 15, 2013).
260. Diefes-Dux, H., and D. Duncan. 2007. Adapting Engineering is Elementary professional development to encourage open-ended mathematical modeling. Paper presented to the Committee on K-12 Engineering Education, National Academy of Engineering and National Research Council, Workshop and Third Meeting, Washington, DC, October 22, 2007.
261. DuFour, R. 2004. What is a "professional learning community?" Available at www.all thingsplc.info/pdf/articles/DuFourWhatIsAProfessionalLearningCommunity.pdf (retrieved September 5, 2013).
262. E3 Alliance. 2009. Case study of New Manor High School: Promising practices for comprehensive high schools. Available at http://mnths.manorisd.net/ourpages/auto/2012/3/7/39399794/MNTHS_Case%20Study.pdf (retrieved July 17, 2013).
263. Fantz, T.D., and P.J. Katsioloudis. 2011. Analysis of engineering content within technology education programs. Journal of Technology Education 23(1): 19-31. Available at http://scholar.lib.vt.edu/ejournals/JTE/v23n1/pdf/fantz.pdf (retrieved February 15, 2013).
264. Gibson, S., and M. Dembo. 1984. Teacher efficacy: A construct validation. Journal of Educational Psychology 76(4):569-582.
265. Hartzler, D.S. 2000. A meta-analysis of studies conducted on integrated curriculum programs and their effects on student achievement. Unpublished dissertation. Indiana University, Bloomington, IN.
266. Hill, H.C., B. Rowan, and D.L. Ball. 2005. Effects of teachers' mathematical knowledge for teaching on student achievement. American Educational Research Journal 42(2):371-406.
267. Horizon Research. 2013. Report of the National Survey of Science and Mathematics Education. February 2013. Available at www.horizon-research.com/2012nssme/wp-content/uploads/2013/02/2012-NSSME-Full-Report1.pdf (retrieved February 27, 2013).
268. Hunter, M.S. 2009. Morriss Math and Engineering Elementary School: A Case Study of K-5 STEM Education Program Development. Columbus, OH: The Past Foundation.
269. ICLE (International Center for Leadership in Education). 2010. Manor New Technology High School. Available at www.leadered.com/msc11/handouts/casestudies/49Manor%20New%20Tech%20HS%20Profile.pdf (retrieved July 17, 2013).
270. ITEEA (International Technology and Engineering Educators Association). 2000. Standards for Technological Literacy: Content for the Study of Technology. Available at www.iteea.org/TAA/PDFs/xstnd.pdf (retrieved September 5, 2013).
271. Koirala, H.P., and J.K. Bowman. 2003. Preparing middle level preservice treachers to integrated mathematics and science: Problems and possibilities. School Science and Mathematics 103(3):145-154.
272. McAlister, B.K. 2004, November 5. Are technology education teachers prepared to teach engineering design and analytical methods? Paper presented to the 91st Mississippi Valley Technology Teacher Education Conference, Chicago, IL. Unpublished.
273. MDE (Minnesota Department of Education). 2009. Minnesota Academic Standards-Science K-12 2009 Version. Available at http://stem.stkate.edu/pdf/mn_standards.pdf (retrieved November 15, 2013).
274. Means, B., Y. Toyama, R. Murphy, and M. Baki. 2013. The effectiveness of online and blended learning: A Meta-analysis of the empirical literature. Teachers College Record 115(3):1-47.
275. Meeder, H. 2012. Strategies to develop a school-wide STEM culture. Presentation to the National Academy of Engineering and National Research Council Committee on Integrated STEM Education. July 12, 2012, Washington, DC. Slides available at www.nae.edu/File.aspx?id=61600 (retrieved July 17, 2013).
276. NAGB (National Assessment Governing Board). 2010. Technology and Engineering Literacy Framework for the 2014 National Assessment of Educational Progress-Pre-Publication Edition. Available at www.nagb.org/content/nagb/assets/documents/publications/frameworks/prepub_naep_tel_framework_2014.pdf (retrieved September 5, 2013).
277. NAE (National Academy of Engineering) and NRC (National Research Council). 2009. Engineering in K-12 education: Understanding the status and improving the prospects. Available at www.nap.edu/catalog.php?record_id=12635 (retrieved September 6, 2013).
278. NCES (National Center for Education Statistics). 2010. Status and trends in the education of racial and ethnic groups (NCES 2010-015). Washington, DC. Available at www.air.org/files/AIR-NCESracial_stats__trends1.pdf (retrieved August 22, 2013).
279. NCES. 2012. The Nation's Report Card: Science in Action: Hands-on and interactive computer tasks from the 2009 Science Assessment (NCES 2012-468). Washington, DC.
280. NGACPB (National Governors Association Center for Best Practices). 2010. Common Core State Standards for Mathematics. Available online at www.corestandards.org/assets/CCSSI_Math%20Standards.pdf (retrieved January 14, 2014).
281. North, C. 2011. Designing STEM pathways through early college: Ohio's Metro Early College High School. Available at www.themetroschool.org/assets/documents/ECDS_ DesigningSTEMPathways_081511.pdf (retrieved August 22, 2013).
282. NRC. 2001. Knowing what students know: The science and design of educational assessment. Available at www.nap.edu/catalog.php?record_id=10019 (retrieved September 5, 2013).
283. NRC. 2005. Systems for state science assessment. Available at www.nap.edu/catalog.php?record_id=11312 (retrieved September 5, 2013).
284. NRC. 2007. Enhancing professional development for teachers: Potential uses of information technology. Report of a workshop. Committee on Enhancing Professional Development for Teachers, National Academies Teacher Advisory Council. Available online at www.nap.edu/catalog.php?record_id=11995 (retrieved November 19, 2013).
285. NRC. 2011a. Successful K-12 STEM education: Identifying effective approaches in science, technology, engineering, and mathematics. Available at www.nap.edu/catalog.php?record_id=13158 (retrieved September 6, 2013).
286. NRC. 2011b. Learning science through computer games and simulations. Available at www.nap.edu/catalog.php?record_id=13078 (retrieved November 18, 2013).
287. NRC. 2012. A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. Available at www.nap.edu/catalog.php?record_id=13165 (retrieved September 5, 2013).
288. NRC. 2013a. Next Generation Science Standards: For states, by states. Available at www.nap.edu/NGSS/ (retrieved September 4, 2013).
289. NRC. 2013b. Developing Assessments for the Next Generation Science Standards. Committee on Asssessment of Science Proficiency in K-12. Available online at www.nap.edu/catalog.php?record_id=18409 (retrieved January 14, 2014).
290. O'Brien, S. 2010. Characterization of a unique undergraduate multidisciplinary STEM K-5 teacher preparation program. Journal of Technology Education 21(2). Available at http://scholar.lib.vt.edu/ejournals/JTE/v21n2/obrien.html (retrieved January 21, 2014).
291. OECD (Organisation for Economic Co-operation and Development), 2010. Figure 63, "Sample item showing bias towards female: Nuclear power plant," in PISA computerbased assessment of student skills in science. Paris: OECD Publishing.
292. Peterson, P., E. Fennema, T. Carpenter, and M. Loef. 1989. Teachers' pedagogical content beliefs in mathematics. Cognition and Instruction 6:1-40.
293. Quellmalz, E.S., M.J. Timms, B.C. Buckley, J. Davenport, M. Loveland, and M.D. Silberglitt. 2012. 21st century dynamic assessment. In M. Mayrath, J. Clarke-Midura, and D.H. Robinson (Eds.), Technology-based assessments for 21st century skills: Theoretical and practical implications from modern research. Charlotte, NC: Information Age Publishing.
294. Riggs, L., and L. Enochs. 1990. Toward the development of an elementary teacher's science teaching efficacy belief instrument. Science Education 74:625-637.
295. Rubeck, M.L., and L.G. Enochs. 1991. A path analytic model of variables that influence science and chemistry teaching self-efficacy and outcome expectancy in middle school science teachers. Paper presented at the annual meeting of the National Association for Research in Science Teaching, April, Lake Geneva, WI.
296. Shulman, L.S. 1987. Knowledge and teaching: Foundations of the new reform. Harvard Educational Review 57(1):1-22.
297. TEA (Texas Education Agency). 2011. Preparation Manual: 174 Mathematics/Physical Science/Engineering 8-12. Texas Examinations of Educator Standards. Princeton, NJ: ETS.
298. UCB (University of Colorado Boulder). 2013. CU-Boulder launches new degree to create STEM teachers through engineering. Press release. Available at www.colorado.edu/news/releases/2013/08/22/cu-boulder-launches-new-degree-create-stem-teachersthrough-engineering (retrieved August 22, 2013).
299. Wells, J.G. 2013. Integrative STEM Education at Virginia Tech: Graduate preparation for tomorrow's leaders. Technology and Engineering Teacher 72(5):28-34.
300. Wenner, G. 1993. Relationship between science knowledge levels and belief toward science instruction held by pre-service elementary teachers. Journal of Science Education and Technology 2:461-468.
301. Wenner, G. 2001. Science and mathematics efficacy beliefs held by practicing and prospective teachers: A 5-year perspective. Journal of Science Education and Technology 10(2):181-187.
302. Woodfolk Hoy, A., and H. Davis. 2005 Teachers' sense of efficacy and adolescent achievement. In T. Urdan and F. Pajares (Eds.), Adolescence and Education: Vol. 5: Self-Efficacy Beliefs During Adolescence, pp. 117-137. Greenwich, CT: Information Age.
303. AACU (Association of American Colleges and Universities). 2013. It takes more than a major: Employer priorities for college learning and student success. Available at www.aacu.org/leap/documents/2013_EmployerSurvey.pdf (retrieved January 21, 2014).
304. Achieve, Inc. 2013. Next Generation Science Standards. Available at www.nextgenscience.org/next-generation-science-standards (retrieved May 31, 2013).
305. Burghardt, D., and M. Hacker. 2008. Work in progress: Math infusion in a middle school engineering/technology class. 38th ASEE/IEEE Frontiers in Education Conference, October 22-25, 2008, Saratoga Springs, NY. Available at http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4720457 (retrieved May 2, 2013).
306. Carnevale, A.P., N. Smith, and M. Melton. 2011. STEM. Georgetown University Center on Education and the Workforce. Available at www9.georgetown.edu/grad/gppi/hpi/cew/pdfs/stem-complete.pdf. (retrieved May 26, 2013).
307. College Board. 2011a. AP Biology Curriculum Framework 2012-2013. New York. The College Board. Available at http://media.collegeboard.com/digitalServices/pdf/ap/10b_2727_AP_Biology_CF_WEB_110128.pdf (retrieved November 11, 2013).
308. College Board. 2011b. AP Chemistry Curriculum Framework 2013-2014. New York: The College Board. Available at http://media.collegeboard.com/digitalServices/pdf/ap/11_3461_AP_CF_Chemistry_WEB_110930.pdf (retrieved November 11, 2013).
309. IES (Institute for Educational Sciences)/NSF (National Science Foundation). 2013. Common guidelines for education research and development-A report from the Institute of Education Sciences, U.S. Department of Education and the National Science Foundation. August 2013. Available at http://ies.ed.gov/pdf/CommonGuidelines.pdf (retrieved October 30, 2013).
310. Krajcik, J., K.L. McNeill, and B. Reiser. 2008. Learning-goals-driven design model: Developing curriculum materials that align with national standards and incorporate projectbased pedagogy. Science Education 92(1):1-32.
311. Lehrer, R., and L. Schauble. 2004. Modeling natural variation through distribution. American Educational Research Journal 41(3):635-679.
312. Mayer, R.E. 1992. Thinking, problem solving, cognition. New York: W.H. Freeman.
313. NAEP (National Assessment of Educational Progress. 2013. NAEP Technology and Engineering Literacy Assessment (TEL). Available at http://nces.ed.gov/nationsreportcard/tel/ (retrieved June 11, 2013).
314. Newell, A., and H.A. Simon. 1972. Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
315. Polya, G. 1973. How to solve it: A new aspect of mathematical method. Princeton, NJ: Princeton University Press.
316. NRC (National Research Council). 2002. Learning and understanding: Improving advanced study of mathematics and science in U.S. high schools. J.P. Gollub, M.W. Bertenthal, J.B. Labov, and P.C. Curtis, Eds. Available at www.nap.edu/catalog.php?record_id=10129 (retrieved November 11, 2013).
317. NRC. 2003. Strategic Education Research Partnership. Available at www.nap.edu/catalog.php?record_id=10670 (retrieved January 16, 2013).
318. NRC. 2012a. Discipline-based education research: Understanding and improving learning in undergraduate science and engineering. Committee on the Status, Contributions, and Future Directions of Discipline-Based Education Research, Board on Science Education, Division of Behavioral and Social Sciences and Education. S.R. Singer, N.R. Nielsen, and H.A. Schweingruber, Eds. Available at www.nap.edu/catalog.php?record_id=13362 (retrieved May 30, 2013).
319. NRC. 2012b. Education for life and work: Developing transferable knowledge and skills in the 21st century. Committee on Defining Deeper Learning and 21st Century Skills. Available at www.nap.edu/catalog.php?record_id=13398 (retrieved May 31, 2013).
320. NRC. 2012c. A Framework for K-12 Science Education. Available at www.nap.edu/catalog.php?record_id=13165 (retrieved January 14, 2014).