University-School Partnership: A Lens for School Type Differences in Fractional Knowledge
Conference:
ECER 2017
Format:
Paper

Session Information

15 SES 08, Case Study (Part 3)

Paper Session continued from 15 SES 07

Time:
2017-08-24
09:00-10:30
Room:
K6.16
Chair:
Magali Hardouin

Contribution

This study will examine school type differences in fifth-grade students’ fractional knowledge using data from a university-school partnership. The participants will be a total of 203 students from a public school and a private school in two districts willing to collaborate in the University within School Project.

International large-scale assessments generally show that private school students outperform public school students in mathematics, science, and reading (Organisation for Economic Co-operation and Development [OECD], 2009). While there is a strong theoretical impetus in the superiority of private schools, in more recent studies, after controlling for student and home background factors there appears to be little to no statistically significant school type differences in standardized test scores (OECD, 2013). In a related vein, Turkey had the largest variance internationally between schools in student performance: The overall achievement gap between the lower and higher achievers was large (OECD, 2007), and that this discrepancy was attributable to the between-school variation while controlling for family background and demographic characteristics (Alacacı & Erbaş, 2010).

The study of school type disparity in performances based on student assessments has assumed an increasing importance (Lubienski & Lubienski, 2006; Mahuteau & Mavromaras, 2014), also because it has many implications for equity in mathematics education that can be defined as “being unable to predict mathematics achievement and participation based solely upon student characteristics such as race, class, ethnicity, sex, beliefs, and proficiency of language” (Gutiérrez, 2002, p. 9). In the literature, particular attention is given to equity in mathematics education (see Journal for Research in Mathematics Education for the March 2013 special issue), which seems to have a relevant influence on the student achievement outcomes, treatment of students, and students’ access to educational resources (National Council of Teachers of Mathematics [NCTM], 2008). From this perspective, important features of equity include equity in students’ mathematics achievement outcomes that can be established by closing the achievement gap among various groups (Lubienski, 2008; Yetkiner Özel, Özel, & Thompson, 2013).

Clearly, achieving equity in the schools is very difficult for particularly in Turkish mathematics classrooms. For instance, although the mathematics curriculum itself does not vary, there are differences in the way mathematics is implemented. In Turkey, owing to the greater resources of private schools in financial and physical terms, mathematics education in private schools is much more effective, which is evidenced by a number of studies (e.g., Cinoglu, 2006). Similarly, international studies documented that private schools affected better mathematical outcomes than did public schools (Coleman, Kilgore, & Hoffer, 1981; Coleman & Hoffer, 1997; Jimenez, Lockheed, & Paqueo, 1991). However, more recent studies showed that mathematics achievement in public schools was slightly higher than that in private schools (Braun, Jenkins, & Gregg, 2006; Driessen, Agirdag, & Merry, 2016; Lubienski & Lubienski, 2006). Although most research strongly suggests that there are school type differences in mathematics achievement, there has been little progress in explaining these differences with respect to skills acquired through association with a particular content such as fractional knowledge. Few studies (Hallett, Nunes, & Bryant, 2010; Hallett, Nunes, Bryant, & Thorpe, 2012) attempted to explain grade level differences in conceptual and procedural knowledge while learning fractions. Researchers indicated that the existence of such differences could result from students’ school experiences which reflect differences across teaching practices, and in turn, knowledge of fractions.

The purpose of the present study was to explore school type differences in students’ fractional knowledge by using data from a university-school partnership, University within School. The main research question was “Is there a significant difference between the mean scores of fifth-grade students attending public and private schools in fractional knowledge?”

Method

The present study will be driven from the data from a university-school partnership during 2014-2015 academic year. The University within School Partnership (Özcan, 2013), involved collaborative efforts of the MEF University and two school districts to develop an overlapping network of partnering, experiencing, and mentoring relationships across middle grade levels (Grades 5-8) (see Aydın, Tunç-Pekkan, Taylan, Birgili, & Özcan (2016); Taylan, Tunç-Pekkan, Aydın, Birgili, & Özcan (2016); and Tunç-Pekkan, Taylan, Birgili, Aydın, & Özcan (2016) for details of that partnership). Participants The fifth-grade students who participated in the study will be from two school districts in İstanbul, Turkey. Based on the criteria that the school administrations were willing to participate in the university-school partnership, the public school students contain 108 students (57 females and 51 males) and private school students contain 95 students (43 females and 52 males). Instrument The Fractions Test (FT) was developed by the researchers to measure students’ fractional knowledge (Aydın et al., 2016, in press). The test was constructed in light of the Fraction Scheme Theory (Steffe & Olive, 2010) and objectives of fractions unit in the middle school mathematics program (MoNE, 2013). The FT contains 32 multiple-choice items. The KR-20 reliability coefficient was .80. Each item is scored either 0 (incorrect) or 1 (correct). The possible scores on the FT range from 0 to 32. The total testing time is 40min. Data Sources and Analysis The data sources for the study will include the scores for the FT. Independent samples t-test, which is appropriate for testing continuous data and dealing with small sample sizes (Frankel & Wallen, 2003), will be used for data analysis, using school type as the grouping variable. Four steps will be taken in investigating the overarching research question of whether there was a significant difference in the mean fractional knowledge scores for public school students and private school students. In a preliminary analysis step (Step 1), the information about the groups (public and private school students) will be checked. In Step 2, assumptions will be checked based on the results of the Levene’s Test for Equality of Variances. In Step 3, school type differences will be assessed based on the results of the t-test. Finally, in Step 4, effect size (eta squared, μ^2) will be calculated to provide an indication of the magnitude of the differences between public and private school students. Statistical analyses will be performed with IBM SPSS 21.0.

Expected Outcomes

Regarding the results of the group statistics including the mean and standard deviations of FT scores for the public and private school students, we expect that private school students will outperform public school students in fractional knowledge. More specifically, the item means will be presented to designate private and public school students’ difficulties in fractional knowledge. Regarding the results of the Independet Samples t-test we expect to find a statistically significant difference in the mean FT scores of the public school and private school students. To check the magnitude of the mean differences eta squared will be calculated. We believe that all findings of this work will lead to the conclusion that, in the beginning of the middle school, an achievement gap in fractional knowledge exists. In which FT items that this achievement gap occurs will be discussed further. To reduce the disparity between schools, educational policy makers can improve mathematics curriculum that provides every student with the opportunity to acquire core mathematical skills within appropriate time regardless of school type. Drawing on the findings that will be obtained in the present study, future researchers can conduct longitudinal studies to understand the reasons that led to the disparity between different types of schools.

References

Alacacı, C., & Erbaş, A. K. (2010). Unpacking the inequality among Turkish schools: Findings from PISA 2006. International Journal of Educational Development, 30(2), 182-192. Aydın, U., Tunç-Pekkan, Z., Taylan, R. D., Birgili, B., & Özcan, M. (2016, in press). Impacts of a university-school partnership on middle school students' fractional knowledge. The Journal of Educational Research. Aydın, U., Birgili, B., Tunç-Pekkan, Z., Taylan, R. D., & Özcan, M. (2016). Improving fifth grade students’ fractional knowledge through university-school partnership. Presentation at the American Educational Research Association Meeting. April 8-12, Washington, DC, USA. Coleman, J. S., & Hoffer, T. (1987). Public and private high Schools: The impact of communities. New York: Basic. Coleman, J., Kilgore, S., & Hoffer, T. (1981). Public and private high schools. Washington, D.C.: National Center for Educational Statistics. Field, S., Kuczera, M., & Pont, B. (2007). No more failures. Ten steps to equity education. OCED Publishing. Frankel, J. R., & Wallen, N. E. (2003). How to design and evaluate research in education (5th ed.). New York: Mcgraw- Hill. Gutiérrez, R. (2002). Enabling the practice of mathematics teachers in context: Toward a new equity research agenda. Mathematical Thinking and Learning, 4(2&3), 145-187. Özcan, M. (2013). Okulda Üniversite: Türkiye’de öğretmen eğitimini yeniden yapılandırmak için bir model önerisi. [University within School: A new model to re-structure teacher education in Turkey]. Ankara: TÜSİAD Yayınları [TÜSİAD Publications]. Steffe, L. P., & Olive, J. (2010). Children's fractional knowledge. New York: Springer. Taylan, R. D., Tunç-Pekkan, Z., Aydın, U., Birgili, B., & Özcan, M. (2016). Influence of a number line based model of instruction on 5th grade students’ use of mathematical language during clinical interviews. National Council of Teachers of Mathematics, Research Conference, April 11-13, San Fransisco, USA. Tunç-Pekkan, Z. (2015). An analysis of elementary school children’s fractional knowledge depicted with circle, rectangle, and number line representations. Educational Studies in Mathematics, 89(3), 419-441. Tunç-Pekkan, Z., Taylan, R. D., Birgili, B., Aydın, U., & Özcan, M. (2016). Academicians as teachers: Nurturing teacher experience. 13th International Congress on Mathematics Education (ICME). July 24-31, Hamburg, Germany. Yetkiner Özel, Z. E., Özel, S., & Thompson, B. (2013). SES-related mathematics achievement gap in Turkey compared to European Union countries. Education and Science, 38(170), 179–193.

Author Information

Utkun Aydın (submitting)
MEF University
Elementary Mathematics Education
İstanbul
Bengi Birgili (presenting)
MEF University
Istanbul
MEF University, Turkey
MEF University, Turkey
MEF University, Turkey

Update Modus of this Database

The current conference programme can be browsed in the conference management system (conftool) and, closer to the conference, in the conference app.
This database will be updated with the conference data after ECER. 

Search the ECER Programme

  • Search for keywords and phrases in "Text Search"
  • Restrict in which part of the abstracts to search in "Where to search"
  • Search for authors and in the respective field.
  • For planning your conference attendance, please use the conference app, which will be issued some weeks before the conference and the conference agenda provided in conftool.
  • If you are a session chair, best look up your chairing duties in the conference system (Conftool) or the app.