Washington STEM Framework for Action and Accountability Validation Project Draft Executive Summary • November 27, 2013 The Washington STEM Framework for Action and Accountability There is an urgent need to prepare and inspire Washington’s next generation in science, technology, engineering, and math (STEM). STEM industries, such as aerospace, agriculture, clean energy, hightech, life sciences, and manufacturing, are active in every region of Washington state. Yet, according to a 2013 Boston Consulting Group report, local companies will experience 50,000 vacancies by 2017 due to the state’s skills gap at a cost of $800M in lost tax revenue annually. STEM and health care jobs account for 90% of the projected vacancies. Filling these jobs and increasing the state’s competiveness for new jobs – from Boeing’s 777x to high-tech global leaders and small businesses alike – will require a worldclass STEM educated workforce statewide. Washington STEM developed the Washington STEM Framework for Action and Accountability in response to this need. Washington STEM is a nonprofit organization that advances excellence, equity, and innovation in science, technology, engineering, and math (STEM) education. The Washington STEM Framework for Action and Accountability (the Framework) is a comprehensive roadmap for action in STEM education across Washington. The Framework consists of: • • • • • Vision: The future we are working to create. Goal: A specific and measurable goal around which various parties can align. Power Indicators: Research-based indicators alongside emergent ones that can be used to measure collective impact. High-Impact Strategies: Evidence-based and promising strategies identified to move the needle on identified Power Indicators. Policy Set: An enabling policy agenda to support strategies and indicators, ensuring efforts are sustainable and implemented at scale from cradle to career. The Framework provides an unprecedented tool to identify and focus resources on high-impact STEM education innovations and solutions, align multiple actors around a unified goal, and measure collective impact. Accordingly, the Framework is designed to accelerate impact across the state by: • • • Strengthening the development and alignment of STEM resources, programs, and policy around “what works”; Creating a common research and development agenda to test, identify, and spread promising practices; and Creating unified messages and evaluation tools for researchers, policymakers, and practitioners. Development and Validation Process The Framework draws upon a review of state and national STEM education and workforce research findings, data dashboards, programs, and policies. Washington STEM also leveraged stakeholder input gathered from across the state during the organization’s 18-month incubation phase and nearly twoyears of work with funded partners, regional STEM networks, policymakers, and state and national colleagues since its March 2011 founding. From there, Washington STEM developed a draft Framework in January 2013. From January to June 2013, the organization solicited feedback from national and state STEM education leaders, practitioners, and policymakers. Draft Executive Summary 1 The overwhelming positive feedback regarding the value of such a Framework and Washington STEM’s own commitment to acting upon evidence, accelerating equity and results, and spurring scalable innovations led Washington STEM to seek a formal validation partner. The Washington State Legislature’s June 2013 passage of E2SHB 1872, comprehensive STEM education legislation that specifically calls for “a single, cohesive and comprehensive STEM Framework for Action and Accountability,” added urgency and significantly increased the potential for statewide impact. In July 2013, Washington STEM contracted WestEd, a nonprofit research and evaluation firm, to conduct a formal analysis of the draft Framework and recommend improvements. WestEd’s analysis involved a validation process that consisted of two types of work: 1) stakeholder engagement; and 2) research and technical product development. These activities resulted in a research and stakeholder validated onepage Framework (see Appendix A), a literature review (see Appendix C), and recommendations for next steps. Dr. Steven Schneider, the Senior Program Director of WestEd’s STEM education program, and his team conducted the validation, and a charitable contribution from Battelle funded the validation process. Stakeholder engagement WestEd engaged 36 external advisors drawing from partnering university, funder, business, policy, and education leaders from Washington state and the nation (See list of advisors in Appendix B). These stakeholders were grouped into two committees: a Technical Advisory Committee, consisting of stakeholders who could provide access to data and information needed to directly inform the structure and content of the Framework; and a Steering Advisory Committee that provided guidance and direction to the project by giving feedback on how to shape and move forward with the Framework. The resulting group of experts and partners provided a foundation for ensuring that the Framework validation work was sufficiently comprehensive and that the criteria applied were rigorous and relevant to Washington STEM’s vision for STEM education in the state. Research and technical product development As a unified product, the Framework communicates a logic model for improving STEM education and workforce outcomes, with a particular focus on equity. In order to conduct a validation analysis of the Framework, WestEd examined broad areas of the research base and findings from the field to identify evidence in support of (or against) the inclusion of components in the Framework. This evidence, along with input from advisors, represents research used to identify and cite empirical evidence in order to validate the Framework. The validation analysis used current standards and best practices identified in research to produce a literature review and full citations tagged to each Framework component. Databases typically included in the literature search are ERIC, PsychINFO, Dissertation Abstracts, Sociological Collection, Professional Development Collection, Wilson Educational Abstracts PlusText, Academic Search Premier, WorldCat, and Google Scholar. Drafts of the analyses were sent to the advisory groups via email for review and feedback, and all feedback received was considered for the final recommendations and report. As in similar review and validation analyses, the Framework validation process relied on industry standard criteria to evaluate evidence from the research base. Generally, research studies should have been published within the past 20 years. This time frame encompasses research that adequately represents the current status of the field and of analytical methods and avoids inclusion of research conducted with populations and in contexts that may be very different from those existing today. Research studies identified in the literature search consisted of primary studies of specific interventions and their impacts or effectiveness, along with studies of how well interventions have been implemented, literature reviews, and meta-analyses. Primary studies typically used one of the following designs: randomized controlled trial, quasi-experimental, regression discontinuity, and single subject. Draft Executive Summary 2 Criteria for inclusion of specific components of the Framework included: • • • • Alignment - Is the indicator, strategy, or policy aligned with the goal statement? Is the indicator, strategy, or policy appropriate for and targeted to the specified age or grade range? Equity - Does the indicator, strategy, or policy address the needs of students traditionally underserved in STEM education or underrepresented in STEM careers? Predictive nature - Is the indicator a critical checkpoint or highly predictive of downstream Framework outcomes? Impact - Is there empirical evidence that a strategy or policy is related to an increase in the aligned power indicator? Or great promise based on new research-based innovations? Measurement Success will be directly measured against the Framework’s goal statement: All Washington high school graduates are STEM literate, prepared and inspired for postsecondary degrees and certificates, and able to contribute to the demands of a highly-skilled and diverse STEM-driven workforce and society. The validated power indicators directly align to the goal statement. For each power indicator, WestEd identified specific measures and assessment tools. These measures were identified because of their alignment with specific indicators and their demonstrated use in Washington to produce useful data or their promise to be a useful instrument in generating actionable data if implemented in Washington. A driving philosophy for the validation project was to consider the Framework as a blueprint for guiding positive change in STEM education. It is important to remember that the best practices identified by the research base as evidence in support of the Framework needed to be considered in the context they were studied. In education research, there is often a desire to cut to the chase and look at absolutes. In looking at any study for any particular intervention, or at a meta-analysis of multiple studies, there is, however, no guarantee that what works in one context or environment will work in all others. The implementation of the Framework will allow Washington STEM, regional STEM networks and other partners to make informed decisions by applying what has been learned from research, but local conditions will have a strong influence on how the Framework should be utilized and how successful any implementation will ultimately be. In one sense, the Framework provides a hypothesis for what works and implementation will be an opportunity to see what actually works and how STEM education in Washington can be improved. Potential Uses Decision makers and program providers across the state are encouraged to use the Framework to: • Target future investments. In an environment of constrained resources, decision makers in the state must make difficult choices about where to focus future spending. The Framework will help decision makers identify strategies that: are aligned with best practices, have proven to be effective in producing outcomes, or hold great promise. As a result, state and philanthropic entities are expected to yield greater outcomes or a higher “return on investment.” • Guide research and development and drive measurement and evaluation. The Framework represents just the first step in understanding how improvements in STEM education in Washington can be made. Indicators can be evaluated and refined over time. Promising strategies can be tested and, when evaluated as effective, developed into large-scale interventions. As efforts to improve STEM education are undertaken, the Framework will be a unifying tool for sharing knowledge and the transfer of effective strategies and policies, both within Washington and among states. Draft Executive Summary 3 • Support policy development and advocacy campaigns. The Framework provides an actionable roadmap for engaged policymakers involved in developing new policies to support effective strategies, target specific indicators, and drive greater outcomes. As advocacy efforts for STEM education continue within the state, the Framework can be used to support initiatives that are aligned with identified best practices and evidence of effectiveness. The Framework also provides a tool for unifying messages about the importance of STEM education and for developing consensus regarding the most promising solutions across a variety of users and audiences. • Spur knowledge transfer and impact across the state and country. The Framework provides a research-based tool to define, lead, and coordinate state level work. At the state level, the Framework will help to enhance and accelerate the impact of the growing statewide network of regional STEM networks by increasing members’ ability to test, share, and spread promising practices against a common Framework. Regional STEM networks will be able to track and communicate impact using common measures and speak with a unified voice on cross-state issues of practice and policy. At a national level, similar impacts can be expected across state and national organizations that use the Framework to design, evaluate, and communicate their work. Implementation Strategies WestEd sees three primary implementation vehicles for the Framework to inform the allocation of statewide STEM resources, guide programmatic and policy efforts moving forward, and maximize statewide impact. • Governor’s STEM Education Innovation Alliance. Established in June 2013 by E2SHB 1872, the Education Innovation Alliance (the Alliance) will advise the governor and provide vision and guidance in support of STEM education initiatives from early learning through postsecondary education. An important initial task of the Alliance will be to adopt a STEM Framework for Action and Accountability. Once adopted, the Alliance will develop a STEM Benchmark Report Card (the Report Card) based on the Framework, with the first Report Card due on January 10, 2014. The purpose of the Report Card is to monitor progress in aligning strategic plans and activities in order to prepare students for STEM-related jobs and careers, with the longer-term goal of improving educational, workforce, and economic outcomes. The governor and his forthcoming Alliance are well-positioned to move quickly to action and impact by adopting this research- and stakeholder-validated Framework. WestEd encourages the following concrete action items: o o o • Washington STEM: Share the validated Framework and WestEd analysis with the governor’s STEM Education Innovation Alliance upon the Alliance’s creation. Governor’s STEM Education Innovation Alliance: Review and adopt the Washington STEM Framework for Action and Accountability. Washington STEM and governor’s STEM Education Innovation Alliance: Partner to create actionable STEM Benchmark Report Cards and supportive implementation tools and systems, such as state- and regional-level dashboards. Washington STEM. Washington STEM will rely upon the validated Framework to prioritize its future investments and efforts and will use its platform as the statewide STEM education convener to introduce the Framework to a broad set of actors across the state. Washington STEM will support its growing system of regional STEM networks to use the Framework as a strategic planning and measurement tool. The regional STEM networks, which are tasked with improving STEM education and equity in alignment with economic development priorities, should use the validated Framework to guide their collective impact efforts at the regional level and facilitate data collection, knowledge sharing, and the transfer of best practices across the state. Draft Executive Summary 4 Washington STEM will also welcome partners around the state to use the Framework in order to maximize knowledge sharing, the spread and scale of best practices, and statewide impact. WestEd encourages the following concrete action items: • • • • Washington STEM: Incorporate the Framework into operating agreements with the regional STEM networks. Hold a workshop or training session for the regional STEM networks. Develop supportive implementation tools, such as tools to develop regional asset maps and gap analyses, identify model programs, and track evaluation data over time. Post the validated Framework and validation analysis online. Washington STEM: Consider developing a commitment model through which various Washington state STEM education partners could make specific, time-bound, and measureable goals against the Framework and share learnings. The opportunity in developing such a model is to create an action-oriented and purposeful STEM learning community in the state. Regional STEM networks and Washington state STEM education actors: Learn more about the Framework’s research base, help develop implementation tools, identify model programs and practices, and collectively spur new and more coordinated research and development efforts. State and national STEM organizations. In addition to the uses for the Framework within Washington state, the Framework will also be provided to other states as a potential model to organize their work within and across states. Members of the STEMx multi-state network and other state- and national-level STEM organizations can customize and utilize the Framework to guide STEM education efforts within their respective states and use the Framework as a multistate tool to promote data collection, knowledge sharing, and the transfer of best practices around the country. WestEd encourages the following concrete action items: • • Washington STEM and STEMx: Partner to create an interactive, web-based version of the Framework that can be shared and utilized by STEMx member states. Collaborate to create implementation, knowledge sharing, and evaluation tools. National STEM education community: Learn more about the Framework’s research base, help develop implementation tools, identify model programs and practices, and collectively spur new and more coordinated research and development efforts. Conclusion The Washington STEM Framework for Action and Accountability is an unprecedented tool for focusing state-level STEM education investments and efforts on proven practices and the most promising innovations. The Framework is designed to accelerate equity and results at scale, and at the same time, will enable the creation of a results-oriented and purposeful STEM education learning community across Washington state. The state’s economic and civic imperative to act is clear, and with bold leadership and decisive commitment against the Framework now, Washington state has great potential to serve as a model for the nation. WestEd welcomes the opportunity to learn with and from your efforts. A final report and executive summary will be available in early 2014. Draft Executive Summary 5 Appendix A WASHINGTON STEM FRAMEWORK FOR ACTION + ACCOUNTABILITY What is the Washington STEM Framework for Action and Accountability? • • • Comprehensive roadmap for action in STEM education across Washington There is no intention that Washington STEM would be active in every space. Rather, the Framework provides a tool to identify and focus resources on high-impact innovations and solutions, drive alignment of multiple parties, and measure our collective impact. Created by Washington STEM; validated by the non-profit research and evaluation firm WestEd It includes: • • • • • Vision: The future we are working to create Goal: Specific and measurable goal around which various parties can align Power Indicators: Research-based indicators alongside emergent ones against which we can measure our collective impact High-Impact Strategies: Evidence-based strategies identified to move the needle on identified power indicators Policy Set: An enabling policy agenda to support strategies and indicators, ensuring efforts are sustainable and implemented at scale from cradle to career Benefits: • • • Guide and focus Washington STEM’s work on “what works” o Provides strategic planning and measurement tool for regional STEM Networks o Informs future investments, research & development, and knowledge generation efforts o Provides checklist of enabling policies to direct advocacy work o Supports data measurement and evaluation in order to identify and spread promising innovations Provide actionable roadmap for engaged policymakers Rally and align other STEM efforts as a community of practice united by a common goal Implementation strategies: • • • Governor’s STEM Education Innovation Alliance leverages the Framework to support the implementation of comprehensive state STEM legislation, E2SHB1872 (2013) Washington STEM activates Framework through regional STEM networks and a commitment model with other partners State and national STEM organizations leverage Framework to support knowledge sharing and accelerate the identification and transfer of best practices across the country VISION Washingtonians are prepared and inspired with the science, technology, engineering and math (STEM) skills necessary to live a life of opportunity and success in the state’s thriving innovation economy and democratic society. GOAL All Washington high school graduates are STEM literate, prepared and inspired for post-secondary degrees and certificates, and able to contribute to the demands of a highly-skilled and diverse STEM-driven workforce and society. BAND Power Indicators HighImpact Strategies EARLY LEARNING Kindergarten readiness ELEMENTARY Proficient on college and career ready standards MIDDLE Proficient on college and career ready standards Evidence-based professional learning for teachers and leaders Positive attitudes toward STEM courses and experiences Evidence-based professional learning for teachers and leaders Positive attitudes toward STEM courses and experiences Evidence-based professional learning for teachers and leaders Quality in- and out-of school STEM curricula Quality in- and out-of school STEM curricula Quality in- and out-of school STEM curricula Quality in- and out-of school STEM curricula High-quality preschool Student and family STEM awareness campaign Student and family STEM awareness campaign Student and family STEM awareness campaign Student and family STEM awareness campaign Full-day Kindergarten HIGH Graduate proficient on college and career ready standards Interest in STEM majors and careers Evidence-based professional learning for teachers and leaders STEM industry internships Dual credit pathways Policy Set Recruit, prepare, and retain effective STEM teachers Include STEM in WA Kids assessment and program quality indicators Support high-quality preschool, starting with low-income students Adopt rigorous standards and assessments (CTE and core) Adopt rigorous standards and assessments (CTE and core) Recruit, prepare, and retain effective STEM teachers Recruit, prepare, and retain effective STEM teachers Incent informal learning Incent informal learning Support full day kindergarten, starting with low-income students Adopt rigorous standards, assessments, and graduation requirements (CTE and core) Recruit, prepare, and retain effective STEM teachers Promote dual credit pathways and competency-based credits STEM POSTSECONDARY Meet demand for STEM jobs Earn certificates and degrees aligned to high-demand STEM jobs Credentialing and job skills training programs Support services that fit the needs of diverse populations Increase capacity and throughput at colleges and universities in Washington Rapid remediation Regional businesspostsecondary partnerships Retention and transition support Accept Smarter Balanced cut score as ready to take credit bearing course Establish production goals to meet STEM job needs & align funding Ease of credit transfer Appendix B Washington STEM Framework for Action and Accountability Validation Project Advisory Committees Technical Committee • Alan Burke – OSPI • Jeff Charbonneau – Zillah School District; 2013 National Teacher of the Year • Mary Kay Dugan – Battelle • Stacia Edwards – Battelle • Sheila Edwards Lange – University of Washington • Deepa Gupta – The Boeing Company • Kevin Haggerty – UW School of Social Work • Dierdre Holmberg – Pasco School District; TriCities STEM Network • Michael Lach – University of Chicago, UEL • Bill Moore – State Board of Community and Technical Colleges • Isabel Munoz Colon – City of Seattle Office of Neighborhoods, Family & Education Levy • Juan Sanchez – Bill & Melinda Gates Foundation • Jim Schmidt – State of Washington Office of Financial Management, Education Research and Data Collection Steering Committee • Margaret Ashida - STEMx™ • Anne Marie Axworthy – Greater Spokane Inc. and Spokane STEM Network • Kareen Borders – Peninsula School District • Jane Broom – Microsoft • Dee Chambliss – Educate Texas • James Dorsey – MESA • Susan Enfield – Highline Public Schools • Jeff Estes – Pacific NW National Lab • Trevor Greene – Association of Washington School Principals; 2013 National Principal of the Year • Mack Hogans – M.L. Hogans, LLC Consulting Services • Ed Lazowska – University of Washington • Kristin Lesseig – Washington State University • Jim Meadows – Washington Education Association • Steve Mullin – Washington Roundtable • Sharrone Navas – Education and Equity Coalition • Mari Offenbecher – Schools Out Washington • Phil Ohl – Vista Engineering Technologies; TriCities STEM Network • Eleni Papadakis – WA Workforce Training & Education Coordinating Board • Karen Peterson – EdLab Group/National Girls Collaborative • Chris Roe – CA STEM Learning Network • Gene Sharratt – Washington Student Achievement Council • Sally Shuler – Washington Informal Science Education Consortium • Claus von Zastrow – Change the Equation Appendix C Washington STEM Framework for Action and Accountability Validation Project Draft Literature Review and Citation List Power Indicator: Early Learning: Kindergarten Readiness 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. Barett, W. 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Analysis of the quality of professional development programs for mathematics and science teachers: Findings from a crossstate study. Washington, DC: Council of Chief State School Officers. Retrieved February, 29, 2008 39. Darling-Hammond, L., Chung Wei, R., Andree, A., & Richardson, N. (2009). Professional learning in the learning profession: A status report on teacher development in the United States and abroad. Oxford, OH: National Staff Development Council. 40. Corcoran, T., McVay, S., & Riordan, K. (2003). Getting it right: The MISE approach to professional development. Philadelphia, PA: Consortium for Policy Research in Education. 41. French, V. W. (1997). Teachers must be learners, too: Professional development and national teaching standards. NASSP bulletin, 81(585), 38-44. 42. Truesdale, W. T. (2003). The implementation of peer coaching on the transferability of staff development to classroom practice in two selected Chicago public elementary schools. Dissertation Abstracts International, 64 (11), 3923. 43. Knight, J. & Cornett, J. (2009). Studying the impact of instructional coaching. Lawrence, KS: Kansas Coaching Project for the Center on Research on Learning. 44. van Zee, E. H., Hammer, D., Bell, M., Roy, P., & Peter, J. (2005). Learning and teaching science as inquiry: A case study of elementary school teachers' investigations of light. Science Education, 89(6), 1007-1042. 45. Richardson, V. (1998). How teachers change. Focus on Basics, 2(C), 1-10. 46. Goldberg, J. S., & Cole, B. R. (2002). Quality management in education: building excellence and equity in student performance. Quality Management Journal, 9(4), 8-22. 47. Bagley, W., Rice, M. L., & Wilson, E. K. (2001). Transforming learning with technology: Lessons from the field. Journal of Technology and Teacher Education, 9(2), 211-230. 48. Black, S. (2001). A Lifeboat for New Teachers. American School Board Journal, 188(9), 46-48. 49. Licklider, B.L. (1997). Breaking ranks: Changing the in-service institution. NASSP Bulletin, 81(Jan.), 9-22. 50. Snow-Renner, R., & Lauer, P. A. (2005). Professional development analysis. Retrieved from Mid-continent Research for Education and Learning website: http://www. mcrel. org/PDF/ProfessionalDevelopment/5051IR_Prof_dvlpmt_analy sis. pdf# search%= 22Professional% 20development% 20analysis, 22. 51. Carpenter, T. P., Fennema, E., Peterson, P. L., Chiang, C. P., & Loef, M. (1989). Using knowledge of children’s mathematics thinking in classroom teaching: An experimental study. American Educational Research Journal,26(4), 499-531. 52. Cohen, D. K., & Hill, H. C. (2001). Learning policy: When state education reform works. Yale University Press. 53. 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. 54. Desimone, L. M., Porter, A. 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Teachers caught in the action: Professional development that matters, 174-187. 59. Marek, E. A., & Methven, S. B. (1991). Effects of the learning cycle upon student and classroom teacher performance. Journal of Research in Science Teaching, 28(1), 41-53. 60. Wenglinsky, H. (2002). The Link between Teacher Classroom Practices and Student Academic Performance. Education policy analysis archives, 10(12), n12. 61. McGill-Franzen, A., Allington, R. L., Yokoi, L., & Brooks, G. (1999). Putting books in the classroom seems necessary but not sufficient. The Journal of Educational research, 93(2), 67-74. 62. Boaler, J., Wiliam, D., & Brown, M. (2000). Students' experiences of ability grouping-disaffection, polarization and the construction of failure. British Educational Research Journal, 26(5), 631-648. 63. Boaler, J. (2002). Learning from teaching: Exploring the relationship between reform curriculum and equity. Journal for Research in Mathematics Education, 239-258. 4 64. Hill, H. C., & Ball, D. L. (2004). Learning mathematics for teaching: Results from California's mathematics professional development institutes. Journal for research in mathematics education, 330-351. 65. Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American educational research journal, 42(2), 371-406. 66. Rose, S., & Education Commission of the, S. (2012). Third Grade Reading Policies. Education Commission Of The States. Power Indicator: Elementary School: Positive Attitudes Toward STEM Courses and Experiences 1. Tyler-Wood, Tandra, Gerald Knezek, and Rhonda Christensen. (2010). "Instruments for assessing interest in STEM content and careers." Journal of Technology and Teacher Education 18.2: 345-368. 2. Beggs, J. M., Bantham, J. H., & Taylor, S. (2008). Distinguishing the factors influencing college students’ choice of a major. College Student Journal, 42, 381-394. 3. DeMarie, D., & Aloise-Young, P. A. (2003). College students’ interest in their major. College Student Journal, 37, 462-469. 4. Hall, C., Dickerson, J., Batts, D., Kauffmann, P., & Bosse, M. (2011). “Are we missing opportunities to encourage interest in STEM fields?” Journal of Technology Education 25.1. 5. House, J. D. (2000). Academic background and self-beliefs as predictors of student grade performance in science, engineering, and mathematics. International Journal of Industrial Media, 27, 207-220. 6. Kuechler, W. L., McLeod, A., & Simkin, M. G. (2009). Why don’t more students major in IS? Decision Sciences Journal of Innovative Education, 7, 463-488. 7. Malgwi, C. A., Howe, M. A., & Burnaby, P. A. (2005). Influences on students' choice of college major. Journal of Education for Business, 275-282. 8. My College Options and STEMconnector. (2012). Where are the STEM Students? What are their Career Interests? Where are the STEM Jobs? 9. Schwartz, B. (2004). The tyranny of choice. Chronicle of Higher Education, 50, B6-B8. 10. 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Available from http://professionals.collegeboard.com/profdownload/cbscs-science-standards-2009.pdf. National Academy of Engineering & National Research Council. (2006). Tech tally: Approaches to assessing technological literacy. Washington, D.C.: National Academies Press. National Academy of Engineering & National Research Council. (2002). Technically speaking: Why all Americans need to know more about technology. Washington, D.C.: National Academy Press. National Assessment Governing Board. (Pre-Publication). Technology and Engineering Literacy Framework for the 2014 National Assessment of Educational Progress. Washington, DC: Author. 5 14. Partnership for 21st Century Skills. (2009). Framework for 21st century learning. Washington, DC: Author. 15. American Association for the Advancement of Science (AAAS). (1993). Project 2061: Benchmarks for science literacy. New York: Oxford University Press. 16. National Research Council. 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Hoffman, N., Vargas, J., Venezia, A. & Miller, M. (2007). Minding the gap: Why integrating high school with college makes sense and how to do it. Massachusetts: Harvard Education Press. 23. Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. Washington, DC: U.S. Department of Education. 24. Spielhagen, F. R. (2006). Closing the achievement gap in math: The long-term effects of eighth-grade algebra. Journal of Advanced Academics, 18, 34–9. 25. Schmidt, W. (2003) Too little, too late: American high schools in an international context. In D. Ravitch (Ed.), Brookings papers on edu- cation policy (pp. 253–278). Baltimore: Brookings Institute Press. 26. Greene, B. D., Herman, M., Haury, D. L., & ERIC Clearinghouse for Science, M. H. (2000). TIMSS: What Have We Learned about Math and Science Teaching? ERIC Digest. 27. McCoy, L. P. (2005). Effect of demographic and personal variables on achievement in eighth-grade algebra. The Journal of Educational Research, 98(3), 131-135. 28. Oakes, J., & Lipton, M. (1999). Teaching to change the world. Boston: McGraw-Hill College. 29. Moses, R. P., & Cobb Jr, C. (2001). Organizing Algebra: The Need To Voice a Demand. Social Policy, 4, 12. 30. Singh, K., & Granville, M. (1999). Factors that Affect Enrollment in Eighth Grade Algebra for AfricanAmerican Students. Research in middle level education quarterly, 22(2), 57-73. 31. Blank, R. K., de las Alas, N., & Smith, C. (2007). Analysis of the quality of professional development programs for mathematics and science teachers: Findings from a crossstate study. Washington, DC: Council of Chief State School Officers. Retrieved February, 29, 2008 32. Darling-Hammond, L., Chung Wei, R., Andree, A., & Richardson, N. (2009). Professional learning in the learning profession: A status report on teacher development in the United States and abroad. Oxford, OH: National Staff Development Council. 33. Corcoran, T., McVay, S., & Riordan, K. (2003). Getting it right: The MISE approach to professional development. Philadelphia, PA: Consortium for Policy Research in Education. 34. French, V. W. (1997). Teachers must be learners, too: Professional development and national teaching standards. NASSP bulletin, 81(585), 38-44. 35. Truesdale, W. T. (2003). The implementation of peer coaching on the transferability of staff development to classroom practice in two selected Chicago public elementary schools. Dissertation Abstracts International, 64 (11), 3923. 36. Knight, J. & Cornett, J. (2009). Studying the impact of instructional coaching. Lawrence, KS: Kansas Coaching Project for the Center on Research on Learning. 37. van Zee, E. H., Hammer, D., Bell, M., Roy, P., & Peter, J. (2005). Learning and teaching science as inquiry: A case study of elementary school teachers' investigations of light. Science Education, 89(6), 1007-1042. 38. Richardson, V. (1998). How teachers change. Focus on Basics, 2(C), 1-10. 39. Goldberg, J. S., & Cole, B. R. (2002). Quality management in education: building excellence and equity in student performance. Quality Management Journal, 9(4), 8-22. 40. Bagley, W., Rice, M. L., & Wilson, E. K. (2001). Transforming learning with technology: Lessons from the field. Journal of Technology and Teacher Education, 9(2), 211-230. 41. Black, S. (2001). A Lifeboat for New Teachers. American School Board Journal, 188(9), 46-48. 42. Licklider, B.L. (1997). Breaking ranks: Changing the in-service institution. NASSP Bulletin, 81(Jan.), 9-22. 6 43. Snow-Renner, R., & Lauer, P. A. (2005). Professional development analysis. Retrieved from Mid-continent Research for Education and Learning website: http://www. mcrel. org/PDF/ProfessionalDevelopment/5051IR_Prof_dvlpmt_analy sis. pdf# search%= 22Professional% 20development% 20analysis, 22. 44. Carpenter, T. P., Fennema, E., Peterson, P. L., Chiang, C. P., & Loef, M. (1989). Using knowledge of children’s mathematics thinking in classroom teaching: An experimental study. American Educational Research Journal,26(4), 499-531. 45. Cohen, D. K., & Hill, H. C. (2001). Learning policy: When state education reform works. Yale University Press. 46. 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. 47. 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. 48. Penuel, W. R., Fishman, B. J., Yamaguchi, R., & Gallagher, L. P. (2007). What makes professional development effective? Strategies that foster curriculum implementation. American Educational Research Journal, 44(4), 921-958. 49. Saxe, G., Gearhart, M., & Nasir, N. i. 2001'Enhancing Students' Understanding of Mathematics: A Study of Three Contrasting Approaches to Professional Support'. Journal of Mathematics Teacher Education, 4(1), 55-79. 50. Supovitz, J. A., Mayer, D. P., & Kahle, J. B. (2000). Promoting inquiry-based instructional practice: The longitudinal impact of professional development in the context of systemic reform. Educational Policy, 14(3), 331-356. 51. Lieberman, A., & Wood, D. (2001). When teachers write: Of networks and learning. Teachers caught in the action: Professional development that matters, 174-187. 52. Marek, E. A., & Methven, S. B. (1991). Effects of the learning cycle upon student and classroom teacher performance. Journal of Research in Science Teaching, 28(1), 41-53. 53. Wenglinsky, H. (2002). The Link between Teacher Classroom Practices and Student Academic Performance. Education policy analysis archives, 10(12), n12. 54. McGill-Franzen, A., Allington, R. L., Yokoi, L., & Brooks, G. (1999). Putting books in the classroom seems necessary but not sufficient. The Journal of Educational research, 93(2), 67-74. 55. Boaler, J., Wiliam, D., & Brown, M. (2000). Students' experiences of ability grouping-disaffection, polarization and the construction of failure. British Educational Research Journal, 26(5), 631-648. 56. Boaler, J. (2002). Learning from teaching: Exploring the relationship between reform curriculum and equity. Journal for Research in Mathematics Education, 239-258. 57. Hill, H. C., & Ball, D. L. (2004). Learning mathematics for teaching: Results from California's mathematics professional development institutes. Journal for research in mathematics education, 330-351. 58. Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American educational research journal, 42(2), 371-406. 59. Edmonds, J. (2010). Study of the efficacy of North Carolina’s early college high school model. Paper presented at the meeting of Jobs for the Future, Atlanta, GA. 60. National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author. 61. Atweh, B., Bleicher, R., & Cooper, T. (1998). The construction of the social context of mathematics classrooms: A sociolinguistic analysis. Journal for Research in Mathematics Education, 29, 63-82. 62. Lubienski, S. (2002). A closer look at Black-White mathematics gaps: Intersections of race and SES in NAEP achievement and instructional practices data. Journal of Negro Education, 71 (4), 269-87. 63. Schiller, K. S., & Muller, C. (2003). Raising the bar and equity? Effects of state high school graduation requirements and accountability policies on students' mathematics course taking. Educational Evaluation and Policy Analysis, 25(3), 299-318. Power Indicator: Middle School: Positive Attitudes Toward STEM Courses and Experiences 1. 2. 3. Tyler-Wood, Tandra, Gerald Knezek, and Rhonda Christensen. (2010). "Instruments for assessing interest in STEM content and careers." Journal of Technology and Teacher Education 18.2: 345-368. Beggs, J. M., Bantham, J. H., & Taylor, S. (2008). Distinguishing the factors influencing college students’ choice of a major. College Student Journal, 42, 381-394. DeMarie, D., & Aloise-Young, P. A. (2003). College students’ interest in their major. College Student Journal, 37, 462-469. 7 4. Hall, C., Dickerson, J., Batts, D., Kauffmann, P., & Bosse, M. (2011). “Are we missing opportunities to encourage interest in STEM fields?” Journal of Technology Education 25.1. 5. House, J. D. (2000). Academic background and self-beliefs as predictors of student grade performance in science, engineering, and mathematics. International Journal of Industrial Media, 27, 207-220. 6. Kuechler, W. L., McLeod, A., & Simkin, M. G. (2009). Why don’t more students major in IS? Decision Sciences Journal of Innovative Education, 7, 463-488. 7. Malgwi, C. A., Howe, M. A., & Burnaby, P. A. (2005). Influences on students' choice of college major. Journal of Education for Business, 275-282. 8. My College Options and STEMconnector. (2012). Where are the STEM Students? What are their Career Interests? Where are the STEM Jobs? 9. Schwartz, B. (2004). The tyranny of choice. Chronicle of Higher Education, 50, B6-B8. 10. Tan, L. M., & Laswad, F. (2009). Understanding students’ choice of academic majors: A longitudinal analysis. Accounting Education, 18, 233-253. 11. National Research Council. Learning Science in Informal Environments: People, Places, and Pursuits. Washington, DC: The National Academies Press, 2009. Power Indicator: High School: Proficiency on College and Career Ready Standards 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. International Society for Technology in Education (ISTE). (2008). National education technology standards for teachers, 2nd Ed. Available from http://www.iste.org/standards/nets-for-teachers/nets-forteachers-2008.aspx. International Technology Education Association (ITEA). (2007). Standards for technological literacy: Content for the study of technology (3rd Ed.). Reston, VA: ITEA. International Technology Education Association (ITEA). (2003). Advancing excellence in technological literacy: Student assessment, professional development, and program standards. Reston, VA: ITEA. National Assessment Governing Board. (2008). Mathematics framework for the 2009 National Assessment of Educational Progress. Washington, DC: Author. National Assessment Governing Board. (2008). Science framework for the 2009 National Assessment of Educational Progress. Washington, DC: Author. National Council of Teachers of Mathematics (NCTM). (2000). Principles & standards for school mathematics. Reston, VA: NCTM. National Governors Association Center for Best Practices (NGA Center) & Council of Chief State School Officers (CCSSO). (2010). Common core states standards. Washington, DC: Author National Research Council (NRC). (1996). The national science education standards. Washington, DC: National Academy Press American Association for the Advancement of Science (AAAS). (1998). Blueprints for Reform: Science, Mathematics, and Technology Education. New York: Oxford University Press. College Board. (2009). Science: College Boards standards for college success. Available from http://professionals.collegeboard.com/profdownload/cbscs-science-standards-2009.pdf. National Academy of Engineering & National Research Council. (2006). Tech tally: Approaches to assessing technological literacy. Washington, D.C.: National Academies Press. National Academy of Engineering & National Research Council. (2002). Technically speaking: Why all Americans need to know more about technology. Washington, D.C.: National Academy Press. National Assessment Governing Board. (Pre-Publication). Technology and Engineering Literacy Framework for the 2014 National Assessment of Educational Progress. Washington, DC: Author. Partnership for 21st Century Skills. (2009). Framework for 21st century learning. Washington, DC: Author. American Association for the Advancement of Science (AAAS). (1993). Project 2061: Benchmarks for science literacy. New York: Oxford University Press. National Research Council. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC: The National Academies Press, 2012. U.S. Department of Education. (2010). A blueprint for reform: The reauthorization of the elementary and secondary education act. Available from: www2.ed.gov/policy/elsec/leg/blueprint. Tweed, A. (2009) Designing effective science instruction: What works in science classrooms. NSTA Press. ACT. (2008). The Forgotten Middle: Ensuring that All Students Are on Target for College and Career Readiness before High School. ACT. National Mathematics Advisory Panel. (2008). Foundations for success: The final report of the National Mathematics Advisory Panel. US Department of Education. 8 21. Davis, Denise (2010). College Success for all Students: An Investigation of Early Warning Indicators of College Readiness. Denton, Texas. UNT Digital Library. http://digital.library.unt.edu/ark:/67531/metadc33141/. 22. Hoffman, N., Vargas, J., Venezia, A. & Miller, M. (2007). Minding the gap: Why integrating high school with college makes sense and how to do it. Massachusetts: Harvard Education Press. 23. Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. Washington, DC: U.S. Department of Education. 24. Spielhagen, F. R. (2006). Closing the achievement gap in math: The long-term effects of eighth-grade algebra. Journal of Advanced Academics, 18, 34–9. 25. Schmidt, W. (2003) Too little, too late: American high schools in an international context. In D. Ravitch (Ed.), Brookings papers on edu- cation policy (pp. 253–278). Baltimore: Brookings Institute Press. 26. Greene, B. D., Herman, M., Haury, D. L., & ERIC Clearinghouse for Science, M. H. (2000). TIMSS: What Have We Learned about Math and Science Teaching? ERIC Digest. 27. McCoy, L. P. (2005). Effect of demographic and personal variables on achievement in eighth-grade algebra. The Journal of Educational Research, 98(3), 131-135. 28. Oakes, J., & Lipton, M. (1999). Teaching to change the world. Boston: McGraw-Hill College. 29. Moses, R. P., & Cobb Jr, C. (2001). Organizing Algebra: The Need To Voice a Demand. Social Policy, 4, 12. 30. Singh, K., & Granville, M. (1999). Factors that Affect Enrollment in Eighth Grade Algebra for AfricanAmerican Students. Research in middle level education quarterly, 22(2), 57-73. 31. Blank, R. K., de las Alas, N., & Smith, C. (2007). Analysis of the quality of professional development programs for mathematics and science teachers: Findings from a crossstate study. Washington, DC: Council of Chief State School Officers. Retrieved February, 29, 2008 32. Darling-Hammond, L., Chung Wei, R., Andree, A., & Richardson, N. (2009). Professional learning in the learning profession: A status report on teacher development in the United States and abroad. Oxford, OH: National Staff Development Council. 33. Corcoran, T., McVay, S., & Riordan, K. (2003). Getting it right: The MISE approach to professional development. Philadelphia, PA: Consortium for Policy Research in Education. 34. French, V. W. (1997). Teachers must be learners, too: Professional development and national teaching standards. NASSP bulletin, 81(585), 38-44. 35. Truesdale, W. T. (2003). The implementation of peer coaching on the transferability of staff development to classroom practice in two selected Chicago public elementary schools. Dissertation Abstracts International, 64 (11), 3923. 36. Knight, J. & Cornett, J. (2009). Studying the impact of instructional coaching. Lawrence, KS: Kansas Coaching Project for the Center on Research on Learning. 37. van Zee, E. H., Hammer, D., Bell, M., Roy, P., & Peter, J. (2005). Learning and teaching science as inquiry: A case study of elementary school teachers' investigations of light. Science Education, 89(6), 1007-1042. 38. Richardson, V. (1998). How teachers change. Focus on Basics, 2(C), 1-10. 39. Goldberg, J. S., & Cole, B. R. (2002). Quality management in education: building excellence and equity in student performance. Quality Management Journal, 9(4), 8-22. 40. Bagley, W., Rice, M. L., & Wilson, E. K. (2001). Transforming learning with technology: Lessons from the field. Journal of Technology and Teacher Education, 9(2), 211-230. 41. Black, S. (2001). A Lifeboat for New Teachers. American School Board Journal, 188(9), 46-48. 42. Licklider, B.L. (1997). Breaking ranks: Changing the in-service institution. NASSP Bulletin, 81(Jan.), 9-22. 43. Snow-Renner, R., & Lauer, P. A. (2005). Professional development analysis. Retrieved from Mid-continent Research for Education and Learning website: http://www. mcrel. org/PDF/ProfessionalDevelopment/5051IR_Prof_dvlpmt_analy sis. pdf# search%= 22Professional% 20development% 20analysis, 22. 44. Carpenter, T. P., Fennema, E., Peterson, P. L., Chiang, C. P., & Loef, M. (1989). Using knowledge of children’s mathematics thinking in classroom teaching: An experimental study. American Educational Research Journal,26(4), 499-531. 45. Cohen, D. K., & Hill, H. C. (2001). Learning policy: When state education reform works. Yale University Press. 46. Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. 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