Professional development [PD] providers can shape how teachers understand and implement new policies. Yet we have a limited understanding of how providers develop the ideas they promote. We explore this by examining social capital among mathematics PD providers. Using social network and interview data, we identified providers in brokerage positions and analyze their interactions. We found that broker behavior varied by organizational setting. Brokers in school districts typically discussed logistical issues related to PD delivery, while brokers outside of districts often discussed substantive mathematical topics. When district brokers did access substantive information, they rarely shared it. We conclude that (1) the disconnect between accessing and sharing diminished district brokers’ ability to support PD in their districts and (2) the lack of substance diminished their ability to influence ideas about mathematics.
AchinsteinB.OgawaR. T. (2006). (In)fidelity: What the resistance of new teachers reveals about professional principles and prescriptive educational policies. Harvard Educational Review, 76(1), 30–63.
2.
AhujaG. (2000). Collaboration networks, structural holes and innovation: A longitudinal study. Administrative Science Quarterly, 45, 425–455.
3.
AnagnostopoulosD.RutledgeS. A. (2007). Making sense of school sanctioning policies in urban high schools. Teachers College Record, 109, 1261–1302.
4.
BeckertJ. (2010). How do fields change? The interrelations of institutions, networks, and cognition in the dynamics of markets. Organization Studies, 31, 605–627.
5.
BurchP. (2006). The new educational privatization: Educational contracting and high stakes accountability. Teachers College Record, 108, 2582–2610.
6.
BurtR. S. (1992). Structural holes: The social structure of competition. Cambridge, MA: Harvard University Press.
7.
BurtR. S. (1999). The social capital of opinion leaders. Annals of the American Academy of Political and Social Science, 566, 37–54.
8.
BurtR. S. (2007). Brokerage and closure: An introduction to social capital. Oxford, England: Oxford University Press.
9.
BurtR. S.KilduffM.TasselliS. (2013). Social network analysis: Foundations and frontiers on advantage. Annual Review of Psychology, 64, 527–547.
10.
CliffordG. J. (1984). Buch und lesen: Historical perspectives on literacy and schooling. Review of Educational Research, 54, 472–500.
11.
CobbP.JacksonK. (2011). Assessing the quality of the Common Core State Standards for mathematics. Educational Researcher, 40, 183–185.
12.
CoburnC. E. (2003). Rethinking scale: Moving beyond numbers to deep and lasting change. Educational Researcher, 32(6), 3–12.
13.
CoburnC. E. (2004). Beyond decoupling: Rethinking the relationship between the institutional environment and the classroom. Sociology of Education, 77, 211–244.
14.
CoburnC. E. (2005a). The role of nonsystem actors in the relationship between policy and practice: The case of reading instruction in California. Educational Evaluation and Policy Analysis, 27, 23–52.
15.
CoburnC. E. (2005b). Shaping teacher sensemaking: School leaders and the enactment of reading policy. Educational Policy, 19, 476–509.
16.
CoburnC. E. (2006). Framing the problem of reading instruction: Using frame analysis to uncover the microprocesses of policy implementation. American Educational Research Journal, 43, 343–379.
17.
CoburnC. E.HillH. C.SpillaneJ. P. (2016). Alignment and accountability in policy design and implementation: The Common Core State Standards and implementation research. Educational Researcher, 4, 243–251.
18.
CoburnC. E.MataW. S.ChoiL. (2013). The embeddedness of teachers’ social networks: Evidence from a study of mathematics reform. Sociology of Education, 86, 311–342.
19.
CoburnC. E.RussellJ. L. (2008). District policy and teachers’ social networks. Educational Evaluation and Policy Analysis, 30, 203–235.
20.
CohenD. K.MoffittS. L. (2009). The ordeal of equality: Did federal regulation fix the schools?Cambridge, MA: Harvard University Press.
21.
ColemanJ. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, S95–S120.
22.
DalyA. J.FinniganK. S.JordanS.MoolenaarN. M.CheJ. (2014). Misalignment and perverse incentives: Examining the politics of district leaders as brokers in the use of research evidence. Educational Policy, 28, 145–174.
23.
DoreianP.WoodardK. L. (1994). Defining and locating cores and boundaries of social networks. Social Networks, 16, 267–293.
24.
EmirbayerM.MischeA. (1998). What is agency?American Journal of Sociology, 103, 962–1023.
25.
FernandezR. M.GouldR. V. (1994). A dilemma of state power: Brokerage and influence in the national health policy domain. American Journal of Sociology, 99, 1455–1491.
26.
GaretM. S.PorterA. C.DesimoneL.BirmanB. F.YoonK. S. (2001). What makes professional development effective? Results from a national sample of teachers. American Educational Research Journal, 38, 915–945.
27.
GoodreauS. M. (2007). Advances in exponential random graph (p*) models applied to a large social network. Social Networks, 29, 231–248.
28.
GouldR. V.FernandezR. M. (1989). Structures of mediation: A formal approach to brokerage in transaction networks. Sociological Methodology, 19, 89–126.
29.
GranovetterM. S. (1973). The strength of weak ties. American Journal of Sociology, 78, 1360–1380.
30.
HandcockM. S.HunterD. R.ButtsC. T.GoodreauS.MorrisM. (2008). statnet: Software tools for the representation, visualization, analysis and simulation of network data. Journal of Statistical Software, 24(1), 1–11.
31.
HansenM. T. (2002). Knowledge networks: Explaining effective knowledge sharing in multiunit companies. Organization Science, 13, 232–248.
32.
HargadonA.SuttonR. I. (1997). Technology brokering and innovation in a product development firm. Administrative Science Quarterly, 42, 716–749.
33.
HarrisJ. K. (2013). An introduction to exponential random graph modeling. Thousand Oaks, CA: Sage.
34.
HeimerC. A. (1999). Competing institutions: Law, medicine, and family in neonatal intensive care. Law and Society Review, 33, 17–66.
35.
HillH. C.BeisiegelM.JacobR. (2013). Professional development research: Consensus, crossroads, and challenges. Educational Researcher, 42, 476–487.
36.
HonigM. I. (2004). The new middle management: Intermediary organizations in education policy implementation. Educational Evaluation and Policy Analysis, 26, 65–87.
37.
HonigM. I.VenkateswaranN.McNeilP. (2017). Research use as learning: The case of fundamental change in school district central offices. American Educational Research Journal, 54, 938–971.
38.
HunterD. R. (2007). Curved exponential family models for social networks. Social Networks, 29, 216–230.
39.
HunterD. R.GoodreauS. M.HandcockM. S. (2008). Goodness of fit of social network models. Journal of the American Statistical Association, 103, 248–258.
40.
HunterD. R.HandcockM. S.ButtsC. T.GoodreauS. M.MorrisM. (2008). ergm: A package to fit, simulate and diagnose exponential-family models for networks. Journal of Statistical Software, 24(3), 1–29.
41.
JasnyL.LubellM. (2015). Two-mode brokerage in policy networks. Social Networks, 41, 36–47.
42.
KalishY.RobinsG. (2006). Psychological predispositions and network structure: The relationship between individual predispositions, structural holes and network closure. Social Networks, 28, 56–84.
43.
KelloggK. C. (2014). Brokerage professions and implementing reform in an age of experts. American Sociological Review, 79, 912–941.
44.
KennedyM. M. (2016). How does professional development improve teaching?Review of Educational Research, 86, 945–980.
45.
KnappM. S. (2003). Professional development as a policy pathway. Review of Research in Education, 27, 109–157.
46.
LinN. (2002). Social capital: A theory of social structure and action. Cambridge, MA: Cambridge University Press.
47.
LindB. E.TiradoM.ButtsC. T.PrahovaM. P. (2008). Brokerage roles in disaster response: Organisational mediation in the wake of Hurricane Katrina. International Journal of Emergency Management, 5, 75–99.
48.
LittleJ. W. (1993). Teachers’ professional development in a climate of educational reform. Educational Evaluation and Policy Analysis, 15, 129–151.
49.
LubbersM. J.SnijdersT. A. B. (2007). A comparison of various approaches to the exponential random graph model: A reanalysis of 102 student networks in school classes. Social Networks, 29, 489–507.
MongeP. R.ContractorN. S. (2003). Theories of communication networks. Oxford, England: Oxford University Press.
52.
NewmannF. M.KingM. B.YoungsP. (2000). Professional development that addresses school capacity: Lessons from urban elementary schools. American Journal of Education, 108, 259–299.
53.
ObstfeldD. (2005). Social networks, the tertius iungens orientation, and involvement in innovation. Administrative Science Quarterly, 50, 100–130.
54.
ObstfeldD.BorgattiS. P.DavisJ. (2014). Brokerage as a process: Decoupling third party action from social network structure. Research in the Sociology of Organizations, 40, 135–159.
55.
Owen-SmithJ.PowellW. W. (2004). Knowledge networks as channels and conduits: The effects of spillovers in the Boston biotechnology community. Organization Science, 15, 5–21.
56.
PenuelW. R.FishmanB. J.YamaguchiR.GallagherL. P. (2007). What makes professional development effective? Strategies that foster curriculum implementation. American Educational Research Journal, 44, 921–958.
57.
PeurachD. J. (2011). Seeing complexity in public education: Problems, possibilities, and success for all. New York, NY: Oxford University Press.
58.
PorterA. C.McMakenJ.HwangJ.YangR. (2011). Common Core standards: The new U.S. intended curriculum. Educational Researcher, 40, 103–116.
59.
PortesA. (1998). Social capital: Its origins and applications in modern sociology. Annual Review of Sociology, 24, 1–24.
60.
PowellW. W.KoputK. W.Smith-DoeerL. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41, 116–145.
61.
PowellW. W.WhiteD. R.KoputK. W.Owen-SmithJ. (2005). Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences. American Journal of Sociology, 110, 1132–1205.
62.
RaoH.MoninP.DurandR. (2003). Institutional change in Toque Ville: Nouvelle cuisine as an identity movement in French gastronomy. American Journal of Sociology, 108, 795–843.
63.
ReagansR.McEvilyB. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48, 240–267.
64.
ReckhowS.SnyderJ. W. (2014). The expanding role of philanthropy in education politics. Educational Researcher, 43, 186–195.
65.
RiderC. I. (2009). Constraints on the control benefits of brokerage: A study of placement agents in U.S. venture capital fundraising. Administrative Science Quarterly, 54, 575–601.
66.
RobinsG.PattisonP.KalishY.LusherD. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29, 173–191.
67.
RowanB. (2002). The ecology of school improvement: Notes on the school improvement industry in the United States. Journal of Educational Change, 3, 283–314.
68.
RuefM. (2002). Strong ties, weak ties and islands: Structural and cultural predictors of organizational innovation. Industrial and Corporate Change, 11, 427–449.
69.
SchmidtW. H.HouangR. T. (2012). Curricular coherence and the Common Core State Standards for mathematics. Educational Researcher, 41, 294–308.
70.
SewellW. H.Jr. (1992). A theory of structure: Duality, agency, and transformation. American Journal of Sociology, 98, 1–29.
71.
SmallM. L. (2010). Unanticipated gains: Origins of network inequality in everyday life. New York, NY: Oxford University Press.
72.
SmithS. S. (2000). Mobilizing social resources: Race, ethnic, and gender differences in social capital and persisting wage inequalities. Sociological Quarterly, 41, 509–537.
73.
SmithS. S. (2005). “Don’t put my name on it”: Social capital activation and job-finding assistance among the Black urban poor. American Journal of Sociology, 111, 1–57.
74.
SnijdersT. A. B.PattisonP. E.RobinsG. L.HandcockM. S. (2006). New specifications for exponential random graph models. Sociological Methodology, 36, 99–153.
75.
SpillaneJ. P. (1998). A cognitive perspective on the role of the local educational agency in implementing instructional policy: Accounting for local variability. Educational Administration Quarterly, 34, 31–57.
76.
SpillaneJ. P.HopkinsM.SweetT. M. (2015). Intra- and interschool interactions about instruction: Exploring the conditions for social capital development. American Journal of Education, 122, 71–110.
77.
SpillaneJ. P.ReiserB. J.ReimerT. (2002). Policy implementation and cognition: Reframing and refocusing implementation research. Review of Educational Research, 72, 387–431.
78.
StovelK.ShawL. (2012). Brokerage. Annual Review of Sociology, 38, 139–158.
79.
TortorielloM.ReagansR.McEvilyB. (2012). Bridging the knowledge gap: The influence of strong ties, network cohesion, and network range on the transfer of knowledge between organizational units. Organization Science, 23, 1024–1039.
80.
WoulfinS. L.DonaldsonM. L.GonzalesR. (2015). District leaders framing of educator evaluation policy. Educational Administration Quarterly, 52, 110–143.
81.
XiaoZ.TsuiA. S. (2007). When brokersmaynot work: The cultural contingency of social capital in Chinese high-tech firms. Administrative Science Quarterly, 52, 1–31.
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