Differences of science classroom practices in low- and high- performing schools

Authors

  • Eren Ceylan Ankara University, Faculty of Educational Sciences, Ankara-TURKEY
  • Valarie L Akerson Indiana University, School of Education, Curriculum & Instruction, Indiana-USA

DOI:

https://doi.org/10.36681/

Keywords:

TIMSS-2007, school Effectiveness, Classroom Practices Discriminant Analysis

Abstract

This study was carried out to investigate the differences between low- and high-performing schools in the United States based on instructional practices implemented in science classrooms by analyzing TIMSS-2007 data set. Discriminant analysis was conducted to explore the differences between two types of schools. The results revealed that the classified schools were significantly discriminated based on 13 variables (items) related to instructional practices in science classrooms. As a result, whereas students in high-performing schools do more inquiry oriented activities, students in low-performing schools have a tendency to engage more teacher-centered activities. The possible reasons of these results were discussed based on the science classroom practices in the United States.

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References

Aypay, A., Erdogan, M., & Sozer, M.A (2007). Variation among schools on classroom practices in science based on TIMSS-1999 in Turkey. Journal of Research in Science Teaching, 44 (10), 1417-1435.

Baldi, S., Jin, Y., Skemer, M., Green, RJ., & Herget, D. (2007). Highlights from PISA 2006: Performance of U.S. 15-Year-Old Students in Science and Mathematics Literacy in an International Context. Washington, DC: National Center for Education Statistics (Report No. NCES 2008-016).

Bosker, R.J., & Witziers, B. (1996, April). The magnitude of school effects. or: Does it really matter which school a student attends? Paper presented at the Annual Meeting of the American Educational Research Association, New York, USA.

Caccovo, F. (2001). Teaching introductory microbiology with active learning. American Biology Teacher. 63, 172-174.

Ceylan, E. & Berberoğlu, G. (2007). Öğrencilerin fen başarılarını açıklayan etmenler: Bir modelleme çalışması. Eğitim ve Bilim, 32, 36-48.

Coleman, J. S., Campbell, E., Hobson, C., McPartland, J., Mood, A., Weinfield, F., & York, R. (1966). Equality of educational opportunity. Washington, DC: U.S. Government Printing Office.

Creemers, B. P. M., & Reezigt, G. J. (2005). Linking school effectiveness and school improvement: The background and outline of the project. School Effectiveness and School Improvement, 16, 359–371.

D’ Agostino, J. J. (2000). Instructional and School Effects on Students’ Longitudinal reading and Mathematics Achievements, School Effectiveness and School Improvement, 11, 197-235.

Freedman. M.P. (1997). Relationship among laboratory instruction, attitude toward science, and achievement in science knowledge. Journal of Research in Science Teaching, 34, 343-357.

George, D., & Mallery, P. (2006). SPSS for Windows: Step by step (6th ed.). Boston: Pearson A and B.

Gibson, H. L. (1998). Case studies of an inquiry-based science programs’ impact on students’ attitudes towards science and interest in science careers. ERIC document reproduction service no. ED 417 980.

Gibson, H.L., & Chase, C. (2002). Longitudinal impact of an inquiry-based science program on middle school students' attitudes toward science. Science Education, 86, 693-705.

Gonzalez, E.J., & Miles, J.A. (2001). TIMSS 1999 user guide for the international database. International Association for the Evaluation of Educational Achievement. Boston, MA.

Green, S.B., Salkind, N.J., & Akey, T.M. (2000). Using SPSS for windows: Analyzing and understanding data (2nd ed.). Englewood Cliffs, NJ: Prentice Hall.

Greenwald, R., Hedges, L. V., & Lane, R. D. (1996). The effects of school resources on student achievement. Review of Educational Research, 66, 361-396.

Hanushek, E. A. (1986). The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature, 24, 1141-1177.

Hanushek, E. A. (1989). The impact of differential expenditures on school performance. Educational Researches, 18, 45-51.

House, J.D. (2002). The motivational effects of specific teaching activities and computer use for science learning: Findings from the Third International Mathematics and Science

Study (TIMSS). International Journal of Instructional Media, 29, 423-439.

House, J.D. (2006). The effects of classroom learning strategies on science achievement of elementary-schools students in Japan: Findings from the Third International Mathematics and Science Study. International Journal of Instructional Media, 33, 2006.

House, J.D. (2007). Relationships between self-beliefs, instructional practices, and chemistry achievement of students in Chinese Taipei: Results from the TIMSS 1999 assessment. International Journal of Instructional Media, 34, 187-205.

House, J.D. (2008). Effects of Classroom Instructional Strategies and Self-Beliefs on Science achievement of Elementary School Students in Japan: Results from the TIMSS 2003 Assessment. Education, 129, 259-266.

Joncas, M. (2007). TIMSS 2007 Technical Report: Chapter 5 TIMMSS 2007 Sample Design. International Association for the Evaluation of Educational Achievement. Boston, MA.

Kahle, J. B., Meece, J. & Scantlebury, K. (2000). Urban African American middle school science students: Does standards-based teaching make a difference? Journal of Research in Science Teaching, 37, 1019-1041.

Konstantopoulos, S., (2006). Trends of School Effects on Student Achievement: Evidence from NLS:72, HSB:82, and NELS:92. Teachers College Record, 108, 2550-2581.

Lawson, A. E., Abraham, M. R., & Renner, J. W. (1989). A theory of instruction: Using the learning cycle to teach science concepts and thinking skills [Monograph, Number One]. Kansas State University, Manhattan, Ks: National Association for Research in Science Teaching.

Linn, M. C. (1995). Designing computer learning environments for engineering and computer science: The scaffolded knowledge integration framework. Journal of Science Education and Technology, 4, 103–126.

Linn, M. C., & Hsi, S. (2000). Computers, teachers, peers: Science learning partners. Mahwah, NJ: Lawrence Erlbaum Associates.

Linn, M.C., Lewis, C, Tsuchida, 1., & Songer, N.B. (2000). Beyond fourth-grade science: Why do U.S. and Japanese students diverge? Educational Researcher, 29, 4-14.

Liu, O. L., Lee, H.-S., Hofstetter, C., & Linn, M. C. (2008). Assessing Knowledge Integration in Science: onstruct, Measures and Evidence. Educational Assessment, 13, 33-55.

Luyten, H., Visscher, A., & Witziers, B. (2005). School effectiveness research: From a review of the criticism to recommendations for further development. School Effectiveness and School Improvement, 16, 249–379.

Martin, M.O, Mullis, I.V.S, & Foy, P. (2008). TIMSS 2007 International Science Report. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.

Martin, M.O, Mullis, I.V.S, Foy, P., & Stanco, G.M. (2012). TIMSS 2011 International Science Report. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.

Martin, M.O., Gregory, K.D., & Stemler, S.E. (2000). TIMSS 1999 technical report: IEA’s repeat of the Third International Mathematics and Science Study at the eighth grade. Chestnut Hill, MA: Boston College.

McGehee, J.J. (2001). Developing interdisciplinary units: A strategy based on problem solving. School Science and Mathematics, 101, 380-389.

Mortimore, P., Sammons, P., Stoll, L., Lewis, D., & Ecob, R. (1988). School matters. Berkeley, CA: University of California Press.

Nolen, S.B. (2003). Learning Environment, Motivation, and Achievement in High School Science. Journal of Research in Science Teaching, 44, 347-368.

Odom L.A., Stoddard, E.R., & LaNasa, S.M. (2007). Teacher Practices and Middle-school Science Achievements. International Journal of Science Education, 29, 1329-1346.

OECD (2007). PISA 2006: Science Competencies for Tomorrow’s World, Executive Summary, 2007.

Olson, J. F.., Martin, M.O., & Mullis, I.V.S. (2008). TIMSS 2007 Technical Report. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.

Papanastasiou, C. & Papanastasiou, E.C. (2004). Major influences on attitudes towards science. Educational Research and Evaluation. 10, 239-257.

Papanastasiou, C. (2002). School, Teaching, and Family Influence on Students Attitude toward Science: Based on TIMSS data on Cyprus. Studies in Educational Evaluation, 28, 71-86.

Papanastasiou, C. (2008). A residual analysis of effective schools and effective teaching in mathematics. Studies in Educational Evaluation, 34, 24-30.

Papanastasiou,E.C., Zembylas, M., & Vrasidas, C. (2004). Can Computer Use Hurt Science Achievement? The USA Results from PISA. Journal of Science Education and Technology,12, 325-332.

Rutter, M., Maughan, B., Mortimore, P., Ousten, J., & Smith, A. (1979). Fifteen thousand hours: Secondary schools and their effects on children. Cambridge, MA: Harvard University Press.

Scheerens, J., & Creemers, B. P. M. (1989). Conceptualizing school effectiveness. International Journal of Educational Research, 13, 691–706.

Schmidt, W.H., Jorde, D., Barrier, E., Gonzalo, I., Moser, U., Shimizu, K. (1996). Characterizing pedagogical flow: An investigation of mathematics and science teaching in six countries. Dordrect, The Netherlands: Kluver.

Stright, A.D., & Supplee, L.H. (2002). Children's self-regulatory behaviors during teacherdirected, seat-work, and small-group instructional contexts. Journal of Educational Research, 95, 235-244.

Tabachnick, B.G.,&Fidell, L.S. (2001). Using multivariate statistics (4th ed.). Boston: Allyn and Bacon.

Teddlie, C., & Stringfield, S. (1993). Schools make a difference: Lessons learned from a 10- year study of school effects. New York: Teachers College Press.

Van de Grift,W. J. C. M. , & Houtveen, A. A. M. (2006). Underperformance in primary schools. School Effectiveness and School Improvement, 17, 255–273.

Von Secker, C., & Lissitz, R. W. (1999). Estimating the impact of instructional practices on student achievement in science. Journal of Research in Science Teaching, 36, 1110– 1126.

Von Secker, V. (2002). Effects of Inquiry-based teacher practices on Science excellence and equity. Journal of Educational Research, 95, 151-161.

Yayan, B., Berberoğlu, G. (2004). A Re-Analysis of the TIMSS 1999 Mathematics Assessment Data of the Turkish Students. Studies in Educational Evaluation. 30, 87- 104.

Yeh, S. S. (2006). Tests worth teaching to: Constructing state-mandated tests that emphasize critical thinking. Educational Researcher, 30, 12–17.

Yuretich, R.F., Khan, S.A., & Leckie, R.M. (2001). Active-learning methods to improve student performance and scientific interest in a large introductory oceanography course. Journal of Geoscience Education, 49, 111-119.

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Published

24.05.2024

How to Cite

Ceylan, E., & Akerson, V. L. (2024). Differences of science classroom practices in low- and high- performing schools. Journal of Turkish Science Education, 10(2), 3-16. https://doi.org/10.36681/

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