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Teacher Preparation Policy

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For more information about what each state is doing to encourage diversity in teacher preparation programs, visit the State Teacher Policy Database.

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For more data on states’ policies around the science of reading for elementaryspecial education, and early childhood teachers, visit the State Teacher Policy Database.

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  • Project leadership

    Kate Walsh, Shannon Holston, Hannah Putman, Patricia Saenz- Armstrong, Elizabeth Ross, Kency Nittler

  • Data collection and analysis

    Kelli Lakis, Lisa Staresina

  • Advocacy and communications

    Nicole Gerber, Ashley Kincaid, Andrea Browne Taylor, Christie Ellis

  • Project funders

    This report is based on research funded by the following foundations. The findings and conclusions contained within are those of the authors and do not necessarily reflect positions or policies of the project funders.

    Bill & Melinda Gates Foundation
    Daniels Fund
    The Joyce Foundation
    Walton Family Foundation

Endnotes
  1. Goldhaber, D., Lavery, L., & Theobald, R. (2015). Uneven playing field? Assessing the teacher quality gap between advantaged and disadvantaged students. Educational Researcher, 44(5), 293-307.
  2. Goldhaber, D., Krieg, J., Naito, N., & Theobald, R. (2019). Making the most of student teaching: The importance of mentors and scope for change. Education Finance and Policy, 1-11.
  3. Note that this report is based on states’ policies prior to the start of the COVID-19 pandemic and does not reflect temporary waivers and other changes to teacher licensure requirements put in place directly in response to the novel coronavirus.
  4. For evidence on international teacher preparation program standards, see: Hanushek, E. A., Piopiunik, M., & Wiederhold, S. (2014). The value of smarter teachers: International evidence on teacher cognitive skills and student performance (National Bureau of Economic Research Working Paper No. w20727); Organisation for Economic Co-Operation and Development. (2005). Recruiting, selecting and employing teachers. Teachers Matter: Attracting, Developing and Retaining Effective Teachers (pp. 141-167). Paris, France: OECD Publishing; Whitehurst, G. J. (2002). Scientifically based research on teacher quality: Research on teacher preparation and professional development. White House Conference on Preparing Tomorrow’s Teachers, 39-53. Retrieved from http://www.stcloudstate.edu/tpi/initiative/documents/assessment/ScientificallyBasedReserachonTeacherQuality.pdf. For evidence on teacher preparation programs’ admissions selectivity, see: Auguste, B., Kihn, P., & Miller, M. (2010). Closing the talent gap: Attracting and retaining top-third graduates to careers in teaching. Washington, DC. Retrieved from http://mckinseyonsociety.com/closing-the-talent-gap/; The Education Trust. (1999). Not good enough: A content analysis of teacher licensing examinations. Thinking K-16, 3(1), 1-24; Boyd, D., Lankford, H., Loeb, S., Rockoff, J., & Wyckoff, J. (2008). The narrowing gap in New York City teacher qualifications and its implications for student achievement in high-poverty schools. Journal of Policy Analysis and Management, 27(4), 793–818; Steele, J. L., Pepper, M. J., Springer, M., & Lockwood, J. R. (2015). The distribution and mobility of effective teachers: Evidence from a large, urban school district. Economics of Education Review, 48, 86-101; Lincove, J. A., Osborne, C., Mills, N., & Bellows, L. (2015). Teacher preparation for profit or prestige: Analysis of a diverse market for teacher preparation. Journal of Teacher Education, 66(5), 415-434; Henry, G. T., Bastian, K. C., & Smith, A. A. (2012). Scholarships to recruit the “Best and Brightest” into teaching: Who is recruited, where do they teach, how effective are they, and how long do they stay? Educational Researcher, 41(3), 83-92; Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2007). How and why do teacher credentials matter for student achievement? (Working Paper No. 12828). Cambridge, MA: National Bureau of Economic Research. Clotfelter, Ladd, and Vigdor found college selectivity to have a positive impact on student achievement in North Carolina. For more research supporting greater selectivity for teacher preparation programs, see: Gitomer, D. (2007). Teacher quality in a changing policy landscape: Improvements in the teacher pool. Princeton, NJ: Educational Testing Service, http://www.ets.org/Media/Education_Topics/pdf/T; Goldhaber, D., Perry, D., & Anthony, E., (2004). NBPTS certification: Who applies and what factors are associated with success? Seattle, WA: Center for Reinventing Public Education; Whitehurst, G. J., 2002. Scientifically based research on teacher quality: Research on teacher preparation and professional development. (Paper presented at the 2002 White House Conference on Preparing Tomorrow’s Teachers); Kain, J., & Singleton, K. (1996, May-June). Equality of education revisited. New England Economic Review, (May), 87- 114; Ferguson, R., & Ladd, H. (1996). How and why money matters: An analysis of Alabama schools. In H. Ladd (Ed.), Holding schools accountable. Washington, DC: Brookings Institution; Greenwald, R., et al. (1996). The effect of school resources on student achievement. Review of Educational Research, 66(3), 361-396; Ferguson, R. (1991). Paying for public education: New evidence on how and why money matters. Harvard Journal on Legislation, 28, 465-498; Strauss, R., & Sawyer, E. (1986). Some new evidence on teacher and student competencies. Economics of Education Review, 5(1), 41-48; McLaughlin, M., & Marsh, D. (1978). Staff development and school change. Teachers College Record, 80(1), 69-94; Summers, A., & Wolfe, B. (1977). Do schools make a difference? American Economic Review, 67(4), 639-652; Hanushek, E. (1971). Teacher characteristics and gains in student achievement: Estimation using micro-data. American Economic Review, 61(2), 280-288; Master, B., Loeb, S., & Wyckoff, J. (2014). Learning that lasts: Unpacking variation in teachers’ effects on students’ long-term knowledge (Working Paper). National Center for Analysis of Longitudinal Data in Education Research. Several studies have found no relationship between selectivity and teacher effectiveness: Harris, D. N., & Sass, T. R. (2011). Teacher training, teacher quality and student achievement. Journal of Public Economics, 95, 798-812; Henry, G. T., Campbell, S. L., Thompson, C. L., Patriarca, L. A., Luterbach, K. J., Lys, D. B., & Covington, V. M. (2013). The predictive validity of measures of teacher candidate programs and performance: Towards an evidence-based approach to teacher preparation. Journal of Teacher Education, 64(5) 439-453; Chingos, M. M., & Peterson, P. E. (2011). It’s easier to pick a good teacher than to train one: Familiar and new results on the correlates of teacher effectiveness. Economics of Education Review, 30(3), 449-465.
  5. Cowan, J., Goldhaber, D., Jin, Z., & Theobald, R. (2020). Teacher licensure tests: Barrier or predictive tool? (Working Paper No. 245-1020). CALDER. Retrieved from https://caldercenter.org/publications/teacher-licensure-tests-barrier-or-predictive-tool.
  6. Note that this analysis only considers states’ own policies and not policies of external accreditation organizations such as CAEP.
  7. Common tests of basic skills or academic aptitude include the SAT, ACT, GRE, and the Praxis Core Academic Skills for Educators.
  8. Pennsylvania does grant an exemption to candidates with a 2.8 GPA and a passing score on the basic skills test.
  9. National Council on Teacher Quality. (2016). Fine points: Changes in the selection criteria standard as applied to undergraduate programs (Teacher Prep Review 2016). Washington, D.C.: National Council on Teacher Quality. Retrieved from www.nctq.org/dmsView/NCTQ-Standard_1-Fine_Points-Changes_Selection_Criteria_UG.
  10. Egalite, A., Kisida, B., & Winters, M. (2015). Representation in the classroom: The effect of own-race teachers on student achievement. Economics on Education Review, 45, 44-52; Goldhaber, D., & Hansen, M. (2010). Race, gender and teacher testing: How informative a tool is teacher licensure testing and how does it impact student achievement? American Educational Research Journal, 47(1), 218-51; Dee, T. S. (2004). Teachers, race, and student achievement in a randomized experiment. The Review of Economics and Statistics, 86(1), 195-210.
  11. Hart, C. (2020). An honors teacher like me: Effects of access to same-race teachers on Black students’ advanced-track enrollment and performance. Educational Evaluation and Policy Analysis, 42(2), 163-187; Gershenson, S., Hart, C. M. D., Hyman, J., Lindsay, C., & Papageorge, N. W. (2018). The long-run impacts of same-race teachers (Working Paper No. 25254). National Bureau of Economic Research. Retrieved from https://www.nber.org/papers/w25254.
  12. Fox, L. (2016). Seeing Potential: The effects of student-teacher demographic congruence on teacher expectations and recommendations. AERA Open, 2(1), 1-17; Gershenson, S., Holt, S., & Papageorge, N.W. (2016). Who believes in me? The effect of student-teacher demographic match on teacher expectations. Economics of Education Review, 52, 209-224; Bates, L., & Glick, J. (2013). Does it matter if teachers and schools match the student? Racial and ethnic disparities in problem behaviors. Social Science Research, 42, 1180-1190; Dee, T. S. (2005). A teacher like me: Does race, ethnicity, or gender matter? American Economic Review, 95(2), 158-65; Downey, D. B., & Prebish, S. (2004). When race matters: Teachers’ evaluations of students’ classroom behaviors. Sociology of Education, 77, 267–282; Lindsay, C. A., & Hart, C. M. D. (2017). Teacher-student race match and student disciplinary outcomes in North Carolina. Educational Evaluation and Policy Analysis, 39(3), 485–510; Wright, A., Gottfried, M., & Le, V. N. (2017). A kindergarten teacher like me: The role of student-teacher race in socio-emotional development. American Educational Research Journal, 54(1 Suppl.), 78S–101S; Dee (2005); McGrady, P. B., & Reynolds, J. R. (2012). Racial mismatch in the classroom: Beyond Black-white differences. Sociology of Education, 86(1), 3-17.
  13. Grissom, J. A., & Redding, C. (2016). Discretion and disproportionality: Explaining the underrepresentation of high-achieving students of color in gifted programs. AERA Open, 2(1), 1-25; Hart, 2020
  14. As of 2017, 47.6% of public school students were white, compared with 79.3% of teachers. U.S. Department of Education, National Center for Education Statistics. Table 203.50. Schools and Staffing Survey (SASS). Retrieved from https://nces.ed.gov/programs/digest/d19/tables/dt19_203.50.asp?current=yes; U.S. Department of Education, National Center for Education Statistics. Table 209.10. Schools and Staffing Survey (SASS), Retrieved from https://nces.ed.gov/programs/digest/d19/tables/dt19_209.10.asp?current=yes. However, as of 2017, an estimated 79.4% of all adults (ages 18 and older) are white. https://data.census.gov/cedsci/table?q=United%20States&g=0100000US&tid=ACSDP1Y2017.DP05.
  15. For example, among college seniors graduating in 2016, 5.5% of white seniors majored in education, compared with 3.6% of Black seniors and 3.0% of Hispanic seniors. U.S. Department of Education, National Center for Education Statistics, B&B:17. Baccalaureate and Beyond Longitudinal Study. However, rates of teaching among graduates of color have actually trended upward recently, while rates for white graduates have declined. Among 2016 college graduates interviewed a year later, 18% of Black graduates and 22% of Hispanic graduates reported having taught, compared with 16% of white graduates. This is in comparison with 17% of Black graduates, 18% of Hispanic graduates, and 19% of white graduates who finished school in 2008 and were interviewed in 2012. (U.S. Department of Education, National Center for Education Statistics, 2008/12 Baccalaureate and Beyond Longitudinal Study, B&B:08/12.; U.S. Department of Education, National Center for Education Statistics, B&B:17 Baccalaureate and Beyond Longitudinal Study).
  16. U.S. Department of Education, National Center for Education Statistics, Schools and Staffing Survey (SASS), (2019).
  17. The Nation’s Report Card. (2019). NAEP report card: Reading. Retrieved from https://www.nationsreportcard.gov/reading/nation/achievement/?grade=4.
  18. The Nation’s Report Card. (2019). NAEP report card: Reading. Retrieved from https://www.nationsreportcard.gov/reading/nation/achievement/?grade=4.
  19. Torgesen, J. K. (2004). Preventing early reading failure. American Educator, 28(3), 6-9; Torgesen, J. K. (1998). Catch them before they fall: Identification and assessment to prevent reading failure in young children. American Educator, 22(1-2), 32-39. Retrieved from www.aft.org/sites/default/files/periodicals/torgesen.pdf; Lyon, G. R. (1998). Overview of reading and literacy initiatives (Report to Committee on Labor and Human Resources, U.S. Senate). Bethesda, MD: National Institute of Child Health and Human Development, National Institute of Health. Retrieved from https://files.eric.ed.gov/fulltext/ED444128.pdf; Vellutino, F. R., Fletcher, J. M., Snowling, M. J., & Scanlon, D. M. (2004). Specific reading disability (dyslexia): What have we learned in the past four decades? Journal of Child Psychology and Psychiatry, 45(1), 2-40. Retrieved from https://onlinelibrary.wiley.com/doi/full/10.1046/j.0021-9630.2003.00305.x.
  20. Because the contents of tests change over time, NCTQ recently reviewed all reading tests to confirm their assessment of the science of reading. This new analysis complicates a direct comparison between state requirements in 2015 and 2020, as states do not always date their tests’ technical manuals or note when an older version of the test is replaced by a newer version. As a result, we can only highlight which states moved from a weak test to a strong one based upon information that is publicly available.
  21. When the science of reading falls under the same score or subscore as other core content areas, such as social studies, the test is less effective at discerning whether a teacher knows the science of reading. In the cases where all core subjects are combined, this analysis does not investigate whether the test adequately addresses the science of reading because it could give little information about candidates’ knowledge of any area. A test that combines reading and content areas was only evaluated if it had at least two separate subtests.
  22. NCTQ did not evaluate the following tests for coverage of scientifically based reading instruction because they did not provide any separate subscores to better discern teachers’ knowledge of reading: Michigan Test for Teacher Certification (MTTC) Elementary Education Test (Michigan); Praxis Curriculum, Instruction and Assessment (5017) test (Nebraska, North Dakota); Praxis Elementary Education: Content Knowledge (5018) test (Iowa, Montana); California Subject Examinations for Teachers (CSET): Multiple Subjects Test (K-12); Illinois Licensure Testing System (ILTS) Elementary Education (Grades 1-6) [#306].
  23. Arizona, Hawaii, Montana, Nebraska, New York, North Dakota, Oregon, South Dakota.
  24. Wehman, P. (2002). A new era: Revitalizing special education for children and their families. Focus on Autism and Other Developmental Disabilities, 17(4), 194-197. Retrieved from http://ectacenter.org/~pdfs/calls/2010/earlypartc/revitalizing_special_education.pdf.
  25. Research also connects individual content knowledge with increased reading comprehension, making the capacity of the teacher to infuse all instruction with content of particular importance for student achievement. See, Willingham, D. T. (2006). How knowledge helps: It speeds and strengthens reading comprehension, learning, and thinking. American Educator, 30(1), 30. Retrieved from https://www.aft.org/newspubs/periodicals/ae/spring2006/willingham.cfm.
  26. Levenson, N. (2011). Something has got to change: Rethinking special education (Working Paper 2011-01). American Enterprise Institute for Public Policy Research. Retrieved from http://eric.ed.gov/?id=ED521782.
  27. Diamond, K. E., Justice, L. M., Siegler, R. S., & Snyder, P. A. (2013). Synthesis of IES research on early intervention and early childhood education (NCSER 2013-3001). National Center for Special Education Research; Beck, I. L., & McKeown, M. G. (2007). Increasing young low‐income children’s oral vocabulary repertoires through rich and focused instruction. The Elementary School Journal, 107(3), 251-271; Institute of Medicine & National Research Council. (2015). Transforming the workforce for children birth through age 8: A unifying foundation. Washington, DC: The National Academies Press; M. Adams, personal communication, January 2016; Dickinson, D. K., & Porche, M. V. (2011). Relation between language experiences in preschool classrooms and children’s kindergarten and fourth‐grade language and reading abilities. Child Development, 82(3), 870-88.
  28. U.S. Department of Education, Institute of Education Sciences, What Works Clearinghouse. (2012). Early childhood education interventions for children with disabilities intervention report: Phonological awareness training. Retrieved from https://ies.ed.gov/ncee/wwc/Docs/InterventionReports/wwc_pat_060512.pdf; Diamond, K. E., Justice, L. M., Siegler, R. S., & Snyder, P. A. (2013). Synthesis of IES research on early intervention and early childhood education (NCSER 2013-3001). National Center for Special Education Research.
  29. Landry, S. H., Swank, P. R., Smith, K. E., Assel, M. A., & Gunnewig, S. B. (2006). Enhancing early literacy skills for preschool children bringing a professional development model to scale. Journal of Learning Disabilities, 39(4), 306-324; U.S. Department of Education, Institute of Education Sciences, What Works Clearinghouse. (2012). Early childhood education interventions for children with disabilities intervention report: Phonological awareness training. Retrieved from https://ies.ed.gov/ncee/wwc/Docs/InterventionReports/wwc_pat_060512.pdf.
  30. Diamond, K. E., Justice, L. M., Siegler, R. S., & Snyder, P. A., 2013.
  31. Diamond, K. E., Justice, L. M., Siegler, R. S., & Snyder, P. A., 2013.
  32. Recht, D. R., & Leslie, L. (1988). Effect of prior knowledge on good and poor readers’ memory of text. Journal of Educational Psychology, 80(1), 16; Schneider, W., Körkel, J., & Weinert, F. E. (1989). Domain-specific knowledge and memory performance: A comparison of high- and low-aptitude children. Journal of Educational Psychology, 81(3), 306; Tyner, A., & Kabourek, S. (2020). Social studies instruction and reading comprehension: Evidence from the early childhood longitudinal study. Washington, DC: Thomas B. Fordham Institute. Retrieved from https://fordhaminstitute.org/national/resources/social-studies-instruction-and-reading-comprehension.
  33. Mahnken, K. (October 2020). Federal judge dismisses Rhode Island students’ suit for right to civic education. The 74. Retrieved from https://www.the74million.org/federal-judge-dismisses-rhode-island-students-suit-for-right-to-civic-education/.
  34. On NAEP in U.S. history, 15% of 8th graders scored proficient or above. National Center for Education Statistics. (2018). National Assessment of Educational Progress: NAEP Report Card: U.S. History. Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education. Retrieved from https://www.nationsreportcard.gov/ushistory/results/achievement/.
  35. On NAEP in civics, 24% of 8th graders scored proficient or above. National Center for Education Statistics. (2018). National Assessment of Educational Progress: NAEP report card: Civics. Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education. Retrieved from https://www.nationsreportcard.gov/highlights/civics/2018/.
  36. On NAEP in science, 34% of 8th graders scored proficient or above. National Center for Education Statistics. (2015). National Assessment of Educational Progress: 2015 science assessment. Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education. Retrieved from https://www.nationsreportcard.gov/science_2015/#acl?grade=8.
  37. Scores from the National Assessment on Educational Progress (NAEP) found that in reading, 35% of 4th grade students scored proficient or above; 34% of 8th grade students scored proficient or above, and 37% of 12th grade students scored proficient or above. National Center for Education Statistics. (2019). National Assessment of Educational Progress: NAEP report card: Reading. Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education.
  38. Banilower, E. R., Smith, P. S., Malzahn, K. A., Plumley, C. L., Gordon, E. M., & Hayes, M. L. (2018). Report of the 2018 NSSME+. Chapel Hill, NC: Horizon Research, Inc.
  39. In 2015, 38% of fourth grade students scored at or above proficient in science on NAEP. National Center for Education Statistics. (2015). National Assessment of Educational Progress: 2015 science assessment. Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education. Retrieved from https://www.nationsreportcard.gov/science_2015/#acl?grade=4; In 2010, 20% of fourth grade students were at or above proficient in U.S. History. National Center for Education Statistics. (2020). National Assessment of Educational Progress: NAEP data explorer. Washington, D.C.: National Center for Education Statistics, Institute of Education Sciences, U.S. Dept. of Education. Retrieved from https://www.nationsreportcard.gov/ndecore/xplore/NDE.
  40. Hawaii allows for Master’s, specialist, or doctoral degree in the license field or 36 semester hours, including nine semester hours in each core content area. At least three semester hours in each core content area must be upper division level.
  41. Rockoff, J. E. (2004). The impact of individual teachers on student achievement: Evidence from panel data. American Economic Review, 94(2), 247-252; Harris, D. N., & Sass, T. R. (2011). Teacher training, teacher quality and student achievement. Journal of Public Economics, 95(7-8), 798-812; Wiswall, M. (2013). The dynamics of teacher quality. Journal of Public Economics, 100, 61-78; Papay, J. P., & Kraft, M. A. (2015). Productivity returns to experience in the teacher labor market: Methodological challenges and new evidence on long-term career improvement. Journal of Public Economics, 130, 105-119.
  42. Atteberry, A., Loeb, S., & Wyckoff, J. (2015). Do first impressions matter? Predicting early career teacher effectiveness. AERA Open, 1(4), 2332858415607834.
  43. SCALE. (January 2020). State edTPA policy overview. Retrieved 3 December 2020 from https://secure.aacte.org/apps/rl/res_get.php?fid=1014&ref=edtpa.
  44. Requirements for program completion only apply to programs within that state, while requirements to take a test for initial licensure apply to all teachers seeking a license in that state, including those who prepared out of state.
  45. Levine, A. (2006). Educating school teachers. Washington, DC: The Education Schools Project.
  46. Krieg, J. M., Theobald, R., & Goldhaber, D. (2016). A foot in the door: Exploring the role of student teaching assignments in teachers’ initial job placements. Educational Evaluation and Policy Analysis, 38(2), 364-388.
  47. Goldhaber, D., Krieg, J., Naito, N., & Theobald, R. (2019). Making the most of student teaching: The importance of mentors and scope for change. Education Finance and Policy, 1-11.
  48. Ronfeldt, M., Matsko, K. K., Greene Nolan, H., & Reininger, M. (2018b). Who knows if our teachers are prepared? Three different perspectives on graduates’ instructional readiness and the features of preservice preparation that predict them. Stanford Center for Education Policy Analysis; St. John, E., Goldhaber, D., Krieg, J., & Theobald, R. (2018). How the match gets made: Exploring student teacher placements across teacher education programs, districts, and schools. (Working Paper No. 204-1018-1). CALDER.
  49. Gitomer, D. H., Brown, T. L., & Bonett, J. (2011). Useful signal or unnecessary obstacle? The role of basic skills tests in teacher preparation. Journal of Teacher Education, 62(5), 431-445; Goldhaber, D., Cowan, J., & Theobald, R. (2017). Evaluating prospective teachers: Testing the predictive validity of the edTPA. Journal of Teacher Education, 68(4), 377-393.
  50. These alternative measures include: meeting a GPA requirement, having a bachelor’s degree, having an associate’s degree, being enrolled in an accredited institution, being enrolled in a certification program, and serving in the armed forces.
  51. Cowan, J., Goldhaber, D., Jin, Z., Theobald, R. (2020). Teacher licensure tests: Barrier or predictive tool? (Working Paper No. 245-1020.) CALDER. Retrieved from https://caldercenter.org/publications/teacher-licensure-tests-barrier-or-predictive-tool.
  52. It is worth noting that while Massachusetts’ investigation of its licensure test system is laudable, the state does set lower requirements for program entry than the research suggests is advisable (no GPA requirement and the basic skills test is not required until program completion).
  53. Massachusetts’ bid solicitation is available at: https://www.commbuys.com/bso/external/bidDetail.sdo?docId=BD-21-1026-DOE02-DOE01-56600&external=true&parentUrl=bid.
  54. Putman, H., & Walsh, K. (2019). A fair chance: Simple steps to strengthen and diversify the teacher workforce. Washington, DC: National Council on Teacher Quality. Retrieved from https://www.nctq.org/publications/A-Fair-Chance; Goldhaber, D., Cowan, J., & Theobald, R. (2017). Evaluating prospective teachers: Testing the predictive validity of the edTPA. Journal of Teacher Education, 68(4), 377-393.
  55. Putman, H., & Walsh, K., 2019; Goldhaber, D., Cowan, J., & Theobald, R., 2017.