Abstract/Details

Regression analyses of self-regulatory concepts to predict community college math achievement and persistence.


2010 2010

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Abstract (summary)

Open door admissions at community colleges bring returning adults, first timers, low achievers, disabled persons, and immigrants. Passing and retention rates for remedial and non-developmental math courses can be comparatively inadequate (LAVC, 2005; CCPRDC, 2000; SBCC, 2004; Seybert & Soltz, 1992; Waycaster, 2002). Mathematics achievement historically has been a subject of concern with community colleges, universities, and primary schools (Davis, 1994; MEC, 1997; NCTM, 1989, 2000; Wang-Iverson, 1998). An important statistic of community colleges is that more than 83% of students work full or part-time (NEDRC, 2000; Phillippe & Patton, 2000). Conventional homework time estimates can range from 1-3 hours of homework for every hour of in-class instruction. Self-regulatory learning has been proposed to improve opportunity for math achievement (Bembenutty, 2005; Ironsmith et al., 2003; Jones & Byrnes, 2006; Pajares & Graham, 1999; Schunk, 1990).

Seventeen research questions were made to explore the relative influences of goal setting, time planning, and time usage on mathematics achievement and persistence. Math students from 8 classes at a large, northeastern community college were administered 3 surveys asking self-regulatory questions. Results were found from descriptive statistics, frequency distributions, correlation matrices, t-tests, multiple regressions, and logistic regressions.

Goal setting and time management were significant contributors in the model for predicting non-remedial students' final average. With respect to remedial students’ final average, goal setting was related but all of the time planning and usage variables were not. Non-remedial students may have been more realistic about their course goals. However, non-remedial students were overly optimistic about allocating their time. No practical information regarding math student persistence beyond the first exam was found. Notable statistics from this study included: students spent about 5 to 6 hours per week on their math homework and over 80% worked at least 15 hours per week. Students worked more job hours on average than on all class homework. A possible recommendation to improve achievement is an extra class time for doing homework. Another implication is math educators, first-year workshops, and textbooks could teach the skills necessary for students to create suitable time management schedules and strategies that support students’ course goals.

Indexing (details)


Subject
Community college education;
Mathematics education;
Educational evaluation;
Regression analysis;
Academic achievement
Classification
0275: Community college education
0280: Mathematics education
0443: Educational evaluation
Identifier / keyword
Education; Achievement; Community college; Educational statistics; Goal setting; Homework; Job hours; Math education; Mathematics achievement; Persistence; Remedial; Self-regulation; Time management; Time planning; Time usage
Title
Regression analyses of self-regulatory concepts to predict community college math achievement and persistence.
Author
Gramlich, Stephen Peter
Number of pages
126
Publication year
2010
Degree date
2010
School code
0190
Source
DAI-A 71/08, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9781124102122
Advisor
Smith, Jeffrey K.
University/institution
Rutgers The State University of New Jersey - New Brunswick
Department
Graduate School of Education
University location
United States -- New Jersey
Degree
Ed.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3412292
ProQuest document ID
734727849
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/734727849
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