Unintended Short- and Longer-Term Consequences of Assignment to College Readiness Courses: Evidence from Florida

Abstract

High school course selection can affect student outcomes in high school, college, and beyond. Policymakers therefore must consider whether policies affecting course selection may have unintended consequences for students with different levels of preparation. We use regression discontinuity analysis to examine the impact of Florida’s College and Career Readiness Initiative on high school coursetaking and subsequent success in college-level courses. To determine which students were most likely to comply with and benefit from the FCCRI, we run subgroup analyses based on students’ course-taking histories, finding that the initiative was beneficial for some students but may have had inadvertently harmed others.

Keywords

achievement educational policy higher education high schools state policies

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References

Adelman

(2005). Moving into town—and moving on: The community college in the lives of traditional-age students. U.S. Department of Education, Office of Vocational and Adult Education. https://files.eric.ed.gov/fulltext/ED496111.pdf

Allensworth

Nomi

Montgomery

Lee

V. E.

(2009). College preparatory curriculum for all: Academic consequences of requiring algebra and English I for ninth graders in Chicago. Educational Evaluation and Policy Analysis, 31(4), 367–391.

Archbald

Farley-Ripple

E. N.

(2012). Predictors of placement in lower level versus higher level high school mathematics. The High School Journal, 96(1), 33–51.

Aughinbaugh

(2012). The effects of high school math curriculum on college attendance: Evidence from the NLSY97. Economics of Education Review, 31(6), 861–870. https://doi.org/10.1016/j.econedurev.2012.06.004

Chen

Weko

(2009). Students who study science, technology, engineering, and mathematics (STEM) in postsecondary education (NCES 2009-61). National Center for Education Statistics.

Conger

Long

M. C.

Iatarola

(2009). Explaining race, poverty, and gender disparities in advanced course-taking. Journal of Policy Analysis and Management, 28(4), 555–576.

Conley

(2007). Redefining college readiness. Educational Policy Improvement Center. https://eric.ed.gov/?id=ED539251

Cuban

(1993). The lure of curricular reform and its pitiful history. Phi Delta Kappan, 75(2), 182–182.

Deil-Amen

Rosenbaum

J. E.

(2002). The unintended consequences of stigma-free remediation. Sociology of Education, 75(3): 249–268.

10.

Fay

M. P.

Barnett

E. A.

Chavrin

(2017). How states are implementing transition curricula: Results from a national scan. CCRC Research Brief, Community College Research Center.

11.

Finkelstein

N. D.

Fong

A. B.

(2008). Course-taking patterns and preparation for postsecondary education in California’s public university systems among minority Youth. Issues & Answers. REL 2008-No. 035. Regional Educational Laboratory West.

12.

Florida General Requirements for High School Graduation; Revised, Chapter 1003.428 (Florida Statutes 2011). https://www.flsenate.gov/Laws/Statutes/2011/1003.428

13.

Gaertner

M. N.

Kim

DesJardins

S. L.

McClarty

K. L.

(2014). Preparing students for college and careers: The causal role of algebra II. Research in Higher Education, 55(2), 143–165.

14.

Goodman

(2017). The labor of division: Returns to compulsory high school math coursework (NBER Working Paper No.23063). National Bureau of Economic Research.

15.

Gottfried

Owens

Williams

Kim

Musto

(2017). Friends and family: A literature review on how high school social groups influence advanced math and science coursetaking. Education Policy Analysis Archives, 25(62), https://doi.org/10.14507/epaa.25.2857

16.

Harwell

Medhanie

Dupuis

Post

T. R.

LeBeau

(2014). A multisite study of high school mathematics curricula and the impact of taking a developmental mathematics course in college. Educational Research Quarterly, 37(3), 3–22.

17.

H.B. 1255, Fla. Stat. § 1008.30 (2011).

18.

Imbens

G. W.

Lemieux

(2008). Regression discontinuity designs: A guide to practice. Journal of Econometrics, 142(2), 615–635. https://doi.org/10.1016/j.jeconom.2007.05.001

19.

Kane

Boatman

Kozakowski

Bennett

Hitch

Weisenfeld

(2018). Remedial math goes to high school: An evaluation of the Tennessee SAILS program (Research Report). Center for Education Policy Research, Harvard University.

20.

Kane

Boatman

Kozakowski

Bennett

Hitch

Weisenfeld

(2019). College remediation goes back to high school: Evidence from a statewide program in Tennessee (NBER Working Paper #26133). National Bureau of Economic Research. http://www.nber.org/papers/w26133

21.

Kim

DesJardins

S. L.

McCall

B. P.

(2015). Completing algebra II in high school: Does it increase college access and success? The Journal of Higher Education, 86(4), 628–662.

22.

Klopfenstein

(2004). The advanced placement expansion of the 1990s: How did traditionally underserved students fare? Education Policy Analysis Archives, 12, 68.

23.

Long

M. C.

Iatarola

Conger

(2008). Explaining gaps in readiness for college-level math: The role of high school courses. Education Finance and Policy, 4(1), 1–33. https://doi.org/10.1162/edfp.2009.4.1.1

24.

Mokher

C. G.

Barnett

Leeds

D. M.

Harris

J. C.

(2019). Re-envisioning college readiness reforms: Florida’s statewide initiative and promising practices in other states. Change: The Magazine of Higher Learning, 51(2), 14–23. https://doi.org/10.1080/00091383.2019.1569968

25.

Mokher

C. G.

Jacobson

Ahearn

Atkin

Flory

Lansing

Pearson

Rosenbaum

J. E.

Sun

(2014). Assessment of the Florida College and Career Readiness Initiative: Year 2 report. CNA. http://www.cna.org/research/2014/fccri-year-two

26.

Mokher

C. G.

Leeds

D. M.

(2019). Can a college readiness intervention impact longer-term college success? Evidence from Florida’s statewide initiative. The Journal of Higher Education, 90(4), 585–619. https://doi.org/10.1080/00221546.2018.15

27.

Mokher

Leeds

D. M.

Harris

(2018). Adding it up: How the Florida College and Career Readiness Initiative impacted developmental education. Educational Evaluation and Policy Analysis, 40(2), 219–242. https://doi.org/10.3102/0162373717744891

28.

Nomi

(2012). The unintended consequences of an algebra-for-all policy on high-skill students: Effects on instructional organization and students’ academic outcomes. Educational Evaluation and Policy Analysis, 34(4), 489–505.

29.

Phaett

Trimble

M. J.

Barnett

E. A.

(2016). Improving the transition to college: Estimating the impact of high school transition courses on short-term college outcomes (Working Paper No. 86). Community College Research Center.

30.

Porter

S. R.

Umbach

P. D.

(2006). College major choice: An analysis of person-environment fit. Research in Higher Education, 47(4), 429–449.

31.

Rose

Betts

J. R.

(2001). Math matters: The links between high school curriculum, college graduation, and earnings. Public Policy Institute of California. http://www.ppic.org/content/pubs/report/R_701JBR.pdf

32.

S.B. 1908, Fla. Stat. § 1008.30 (2008).

33.

Tyson

Roksa

J. R.

(2017). Importance of grades and placement for math attainment. Educational Researcher, 46(3), 140–142.

34.

Underhill

(2013, February). College remediation. Presentation at the Florida Senate 2013 Regular Session Appropriations Subcommittee on Education Meeting, Tallahassee, FL. http://www.flsenate.gov/PublishedContent/Committees/2012-2014/AED/MeetingRecords/MeetingPacket_2056.pdf

35.

Wang

(2013). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081–1121.

36.

Werblow

Urick

Duesbery

(2013). On the wrong track: How tracking is associated with dropping out of high school. Equity & Excellence in Education, 46(2), 270–284. https://doi.org/10.1080/10665684.2013.779168

37.

Woods

C.S.

Park

Bertrand Jones

(2018). How high school coursework predicts introductory college-level course success. Community College Review, 46(2), 176–196.

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