Academic Progress in Developmental Math Courses: A Comparative Study of Student Retention

Abstract

The majority of college students are not ready for college-level math courses, which, when completed, have been shown to increase graduation and transfer rates. To address this problem, the Math My Way (MMW) program was developed to integrate module-based curriculum and mastery learning approaches. The program is based on Seidman's retention formula, which postulated that early identification of student deficiencies followed by early, intensive, and continuous interventions increase student retention and success. The purpose of this study was to investigate if the MMW program improves progression rates and academic achievement. A quasi-experimental, nonequivalent treatment-control group evaluation using survival analysis revealed that students who completed the MMW program were significantly more likely to progress through their math sequence than students who completed equivalent curriculum in the control group. Further, students in the treatment group had significantly higher math grade point averages (GPA) than their counterparts, with no significant difference for cumulative college GPA.

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References

American College Testing (ACT). (2005). Early college planning pays big dividends: Louisiana (Report No. IC 05085250). Retrieved from http://www.act.org/epas/case/louisiana.html.

American College Testing (ACT). (2009). The conditions of college readiness 2009 (Report No. 13026). Retrieved from http://www.act.org/research/policymakers/reports/CollegeReadiness.html.

American College Testing (ACT). (2010). Trends and tracking charts: 1983–2010 (Report No. 15466). Retrieved from http://www.act.org/research/policymakers/reports/graduation.html.

Astin

(1985). Achieving educational excellence. San Francisco, CA: Jossey-Bass.

Attewell

Lavin

Domina

, & Levey

(2006). New evidence on college remediation. The Journal of Higher Education, 77(5), 886–924.

Bean

J. P.

, & Metzner

B. S.

(1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485–540.

Belgarde

M. J.

, & LoRe

R. K.

(2007). The retention/intervention study of Native American undergraduates at the University of New Mexico. In Seidman

(Ed.), Minority student retention: The best of the Journal of College Student Retention: Research, Theory & Practice (pp. 167–196). Amityville, NY: Baywood.

Bondy

, & Ross

(1998). Teaching teams: Creating the context for faculty action research. Innovative Higher Education, 22(3), 231–249.

Bowles

T. J.

McCoy

A. C.

, & Bates

(2008). The effect of supplemental instruction on timely graduation. College Student Journal, 42(3), 853–859.

10.

Bronstein

S. B.

(2009). Supplemental instruction: Supporting persistence in barrier courses. Learning Assistance Review, 13(1), 31–45.

11.

Calcagno

J. C.

Crosta

Bailey

, & Jenkins

(2007). Does age of entrance affect community college completion probabilities? Evidence from a discrete-time hazard model. Educational Evaluation and Policy Analysis, 29(3), 218–235.

12.

Clores

M. A.

(2009). A qualitative research study on school absenteeism among college students. Asian-Pacific Education Researcher, 18(2), 151–165.

13.

Congos

D. H.

, & Schoeps

(1997). A model for evaluating retention programs. Journal of Developmental Education, 21(2), 2–7.

14.

Conklin

J. F.

(2009). The impact of developmental and intrusive academic advising on grade point average, retention, and satisfaction with advising and the nursing program among first semester nontraditional associate degree nursing students (Doctoral dissertation). Retrieved from ProQuest. (AAT 336936).

15.

Dugan

, & Letterman

(2008). Student appraisals of collaborative teaching. College Teaching, 56(1), 11–15.

16.

Eagan

M. K.

Jr. , & Jaeger

A. J.

(2009). Effects of exposure to part-time faculty on community college transfer. Research in Higher Education, 50(2), 168–188. doi:10.1007/s11162-008-9113-8

17.

Evans

D. J. R.

, & Cuffe

(2009). Near-peer teaching in anatomy: An approach for deeper learning. Anatomical Sciences Education, 2(5), 227–233.

18.

Fike

D. S.

, & Fike

(2008). Predictors of first-year student retention in the community college. Community College Review, 36(2), 68–88.

19.

Friedman

Rodriguez

, & McComb

(2001). Why students do and do not attend classes. College Teaching, 49(4), 124–133.

20.

Freer-Weiss

(2004). Community college freshmen: Last in, first out? Journal of College Student Retention: Research, Theory, & Practice, 6(2), 137–154.

21.

Good

Halpin

, & Halpin

(2007). Retaining black students in engineering: Do minority programs have a longitudinal impact? In Seidman

(Ed.), Minority student retention: The best of the journal of college student retention: Research, theory & practice (pp. 45–58). Amityville, NY: Baywood.

22.

Guskey

T. R.

(2007). Closing achievement gaps: Revisiting Benjamin S. Bloom's “Learning for Mastery.” Journal of Advanced Academics, 19(1), 8–31.

23.

Habley

W. R.

, & McClanahan

(2004). What works in student retention? Two-year public colleges (ACT report). Retrieved from http://www.act.org/research/policymakers/reports/retain.html.

24.

Hagedorn

L. S.

Chi

Cepeda

R. M.

, & McLain

(2007). An investigation of critical mass: The role of Latino representation in the success of urban community college students. Research in Higher Education, 48(1), 73–91. doi: 10.1007/s11162-006-9024-5

25.

Hagedorn

L. S.

Maxwell

, & Hampton

(2007). Correlates of retention for African-American males in community colleges. In Seidman

(Ed.), Minority student retention. The best of the journal of college student retention: Research, theory & practice (pp. 7–28). Amityville, NY: Baywood.

26.

Hawley

T. H.

, & Harris

T. A.

(2005). Student characteristics related to persistence for first-year community college students. Journal of College Student Retention: Research, Theory, & Practice, 7(1–2), 117–142.

27.

Hernandez

J. C.

, & Lopez

M. A.

(2007). Leaking pipeline: Issues impacting Latino/a college student retention. In Seidman

(Ed.), Minority student retention: The best of the journal of college student retention: Research, theory & practice (pp. 99–122). Amityville, NY: Baywood.

28.

Horn

, & Neville

(2006). Undergraduates in U.S. postsecondary education institutions: 2003–04 with a special analysis of community college students. Washington, DC: National Center for Education Statistics.

29.

Hudson

W. E.

Sr. (2006–2007). Can an early alert excessive absenteeism warning system be effective in retaining freshman students? Journal of College Student Retention: Research, Theory & Practice, 7(3/4), 217–226.

30.

Jacoby

(2006). Effects of part-time faculty employment on community college graduation rates. The Journal of Higher Education, 77(6), 1081–1103.

31.

Jaeger

A. J.

, & Eagan

M. K.

Jr. (2009). Unintended consequences: Examining the effect of part-time faculty members on associate's degree completion. Community College Review, 36(3), 167–194. doi: 10.1177/0091552108327070

32.

Johnstone

(2004). Foothill College opening day 2004: Selected findings on basic skills. PowerPoint presentation retrieved October 1, 2009 from http://research.fhda.edu/researchreports/researchreports.php.

33.

Kane

M. A.

Beals

Valeau

E. J.

, & Johnson

M. J.

(2004). Fostering success among traditionally underrepresented student groups: Hartnell College's approach to implementation of the math, engineering, and science achievement (MESA) program. Community College Journal of Research and Practice, 28, 17–24. doi: 10.1080/10668920490251944

34.

Kleinbaum

D. G.

, & Klein

(2005). Survival analysis: A self-learning text (2nd ed.). New York: Springer.

35.

Kulik

C. C.

Kulik

J. A.

, & Bangert-Drowns

R. L.

(1990). Effectiveness of mastery learning programs: A meta-analysis. Review of Educational Research, 60, 265–299. doi: 10.3102/00346543060002265

36.

Lesik

S. A.

(2007). Do developmental mathematics programs have a causal impact on student retention? An application of discrete-time survival and regression-discontinuity analysis. Research in Higher Education, 48(5), 583–608. doi: 10.1007/s11162-006-0936-1

37.

Lim

Kim

Chen

S. S.

, & Ryder

C. E.

(2008). An empirical investigation of student achievement and satisfaction in different learning environments. Journal of Instructional Psychology, 35(2), 113–119.

38.

Lotkowski

V. A.

Robbins

S. B.

, & Noeth

R. J.

(2004). The role of academic and non-academic factors in improving college retention (ACT policy report no. IC 050804060). Retrieved from www.act.org/research/policy/index.html.

39.

McFarland

, & Hamilton

(2006). Factors affecting student performance and satisfaction: Online versus traditional course delivery. Journal of Computer Information Systems, 46(2), 25–32.

40.

Melton

K. I.

(2008). Using modified mastery assignments to increase learning in business statistics. Decision Sciences Journal of Innovative Education, 6(2), 239–245.

41.

Moore

(2003). Students' choices in developmental education: Is it really important to attend class. Research & Teaching in Developmental Education, 20(1), 42–52.

42.

Moore

Shulock

, & Offenstein

(2009). Steps to success: Analyzing milestone achievement to improve community college student outcomes. Sacramento, CA: Institute for Higher Education Leadership & Policy. Retrieved from www.csus.edu/ihelp.

43.

Moore

Armstrong

, & Pearson

(2008). Lecture absenteeism among students in higher education: A valuable route to understanding student motivation. Journal of Higher Education Policy & Management, 30(1), 15–24. doi: 10.1080/13600800701457848

44.

National Center for Education Statistics. (2003). The condition of education 2003 (NCES 2003–067). Washington, DC: U.S. Government Printing Office.

45.

National Mathematics Advisory Panel (NMAP). (2008). Foundations for success: The final report of the national mathematics advisory panel. Washington, DC: U.S. Department of Education. Retrieved from http://www.ed.gov/MathPanel.

46.

Ogden

Thompson

Russell

, & Simon

(2003). Supplemental instruction: Short- and long-term impact. Journal of Developmental Education, 26(3), 2–6.

47.

Provasnik

, & Planty

(2008). Community colleges: Special supplement to the condition of education 2008 (NCES 2008–033). National Center for Education Statistics. Washington, DC: U.S. Government Printing Office. Retrieved from http://nces.ed.gov/programs/coe/2008/analysis/sa01a.asp.

48.

Ramirez

G. M.

(1997). Supplemental instructions: The long-term impact. Journal of Developmental Education, 21(1), 2–8.

49.

Sanchis

(2001). Using web forms for online assessment. Mathematics and Computer Education, 35(2), 105–113.

50.

Schuh

J. H.

(2005). Finances and retention. In Seidman

(Ed.), College student retention: Formula for student success (pp. 277–293). Westport, CT: Praeger.

51.

Scott

(2009). Chancellor's office basic skills accountability report. Sacramento, CA: California Community Colleges. Retrieved from www.cccco.edu/portals/4/Tris/research_Basic_Skills/system.pdf.

52.

Seidman

(2005a). Where we go from here: A retention formula for student success. In Seidman

(Ed.), College student retention: Formula for student success (pp. 295–316). Westport, CT: Praeger.

53.

Seidman

(2005b). Minority student retention: Resources for practitioners. In Gaither

G. H.

(Ed.), Minority retention: What works? (pp. 7–24). San Francisco, CA: Jossey-Bass.

54.

Seidman

(2009). Retention primer slide show [PowerPoint presentation]. Retrieved from http://www.cscsr.org/retention_slideshow.htm.

55.

Senge

P. M.

(2006). The fifth discipline: The art and practice of the learning organization (Rev. ed.). New York: Doubleday.

56.

Stillson

, & Alsup

(2003). Smart ALEKS … or not? Teaching basic algebra using an online interactive learning system. Mathematics and Computer Education, 37(3), 329–340.

57.

Stuart

S. K.

Connor

Cady

, & Zweifel

(2006). Multiage instruction and inclusion: A collaborative approach. International Journal of Whole Schooling, 3(1), 12–26.

58.

Tinto

(1987). Leaving college: Rethinking the causes and cures of student attrition. Chicago, IL: The University of Chicago Press.

59.

U.S. Census Bureau. (2010). Mean earnings by highest degree earned: 2007. Retrieved June 1, 2010 from http://www.census.gov/compendia/statab/cats/education/educational_attainment.html.

60.

Verlinden

(1996). Lessons learned while sharing the helm: A supervising professor's perspective. Paper presented at the Annual Meeting of the Speech Communication Association (82nd, San Diego, CA, November 23–26, 1996). (ERIC Document Reproduction Service No ED410596).

61.

Vogler

E. V.

, & Long

(2003). Team teaching two sections of the same undergraduate course: A case study. College Teaching, 51(4), 122–126.

62.

Wambugu

P. W.

, & Changeiywo

J. M.

(2008). Effects of mastery learning approach on secondary school students' physics achievement. Eurasia Journal of Mathematics, Science & Technology Education, 4(3), 293–302.

63.

Wyatt

(1992). Skipping class: An analysis of absenteeism among first-year college students. Teaching Sociology, 20(3), 201–207.

64.

Yeh

T. L.

(2007). Issues of college persistence between Asian and Asian Pacific American students. In Seidman

(Ed.), Minority student retention: The best of the journal of college student retention: Research, theory & practice (pp. 149–164). Amityville, NY: Baywood.

65.

Zavarella

C. A.

, & Ignash

J. M.

(2009). Instructional delivery in developmental mathematics: Impact on retention. Journal of Developmental Education, 32(3), 2–13.

66.

Zhang

(2005). Interactive multimedia-based e-learning: A study of effectiveness. The American Journal of Distance Education, 19(3), 149–162.