The Effect of Project Based Learning on the Statistical Literacy Levels of Student 8th Grade

Yıl 2014, Cilt: 3 Sayı: 3, 145 - 157, 15.07.2014

Timur Koparan , Bülent Güven

https://doi.org/10.12973/eu-jer.3.3.145

Öz

This study examines the effect of project based learning on 8th grade students’ statistical literacy levels. A performance test was developed for this aim. Quasi-experimental research model was used in this article. In this context, the statistics were taught with traditional method in the control group and it was taught using project based learning in the intervention group. Statistics was given for four weeks according to project based learning at intervention group. The performance test was applied to total 70 students as pre and post-test. Participants are from two different classes of a middle school in Trabzon. The data were analysed using Rasch measurement techniques. This measurement allowed both students’ performance and item difficulties to be measured using the same metric and placed on the same scale. All raw scores converted lineer score in order to obtain equal interval scale. Acquired linear scores were compared. In the analysis of gained datum covariance analysis are used. According to gained results in pre-processing application there isn’t substantial difference between the achievements of intervention group and control group; but after processing between the achievements of intervention group and control group there is a substantial difference statistically in favor of intervention group. The results of the study revealed that the project based learning increased students’ statistical literacy levels in the intervention group.

Anahtar Kelimeler

statistical literacy, project based learning, statistics education, middle school students, rasch measurement

Kaynakça

• Aladag, S. (2005). Ilkogretim matematik ogretiminde proje tabanli ogrenme yaklasiminin ogrencilerin akademik basarisina ve tutumuna etkisi. Gazi University: Unpublished, MA thesis.
• American Statistical Association (2005). GAISE college report. Retrieved 20 December 2011, from www.amstat.org/education/gaise/GAISECollege.html
• Basbay, A. (2006). Basamakli ogretim programiyla desteklenmis proje tabanli ogrenmenin surece, ogrenen ve ogretmen goruslerine etkisi. Hacettepe University: Unpublished, PhD dissertation.
• Ben-Zvi, D. & Garfield, J. (2008). Introducing the emerging discipline of statistics education. School Science and Mathematics, 108, 355–361.
• Bryce, G. R. (2005). Developing tomorrow’s statistician. Journal of Statistics Education, 13(1). www.amstat.org/publications/jse/v13n1/bryce.html
• Boaler, J. (1998). Open and closed mathematics: Student experiences and understandings. Journal for Research in Mathematics Education, 29, 41–62.
• Bond, T. G. & Fox, C. M. (2001). Applying the rasch model; fundamental measurement in the human sciences. Mahwah New Jersey: Lawrence Erlbaum Associates.
• Bond, T. & Fox, C. (2007). Applying the Rasch model. Fundemental measurement in the humen sciences (2nd). Mahwah, NJ: LEA
• Boondee V., Kidrakarn P. & Sa-Ngiamvibool W. (2011). A learning and teaching model using project-based learning (PBL) on the web to promote cooperative learning. European Journal of Social Science, 21(3), 498–506.
• Buck Institute for Education (2010). What is PBL? http://www.bie.org/about/what_is_pbl
• Callingham, R. & Watson, J. M. (2005). Measuring statistical literacy. Journal of Applied Measurement, 6(1), 29, 19–47.
• Cepni, S. (2007). Introduction to research and project studies. (Extended 3rd edition). Trabzon: Celepler Press.
• Cobb, G. W. & Moore, D. (1997). Mathematics, statistics, and teaching. The American Mathematical Monthly, 104, 801–823.
• Coskun, M. (2004). Cografya egitiminde proje tabanli ogrenme yaklasimi. Gazi University: Unpublished, PhD Dissertation.
• Ciftci, S. (2006). Sosyal bilgiler ogretiminde proje tabanli ogrenmenin ogrencilerin akademik risk alma duzeylerine, problem cozme becerilerine, erisilerine kaliciliga ve tutumlarina etkisi. Selcuk University: Unpublished, PhD Dissertation.
• Demirhan, C. (2002). Program gelistirmede proje tabanli ogrenme yaklasimi. Hacettepe University: Unpublished, MA thesis.
• Gal, I. (2002). Adult statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70(1), 1–25.
• Guidelines for Assessment and Instruction in Statistics Education [GAISE] (2005). Guidelines for assessment and instruction in statistics education (GAISE) college report. Alexandria, VA: American Statistical Association. www.amstat.org/education/gaise/GAISECollege.pdf
• Harris, J. H., & Katz, L. G. (2001). Young investigators: The project approach in the early years. New York: Teachers College Press.
• Hogg, R. V. (1991). Statistical education: Improvements are badly needed. The American Statistician, 45, 342–343
• Holmes, P. (1980). Teaching statistics 11–16. Slough: Schools Council and Foulsham Educational
• Jung, H., Jun, W. & Gruenwald L. (2001). A Design and Implementation of Web-Based Project-Based Learning Support Systems. www.cs.ou.edu/~database/documents/jjg01.pdf
• Keeves, J.P. & Alagumalai, S. (1999). New approaches to measurement. In Masters, G. N. & J. P. Keeves (Eds), Advances in Measurement in Educational Research and Assessment. Pergamon, pp. 23–48.
• Karasar, N. (2008). Scientific research method. (18th edition), Ankara: Nobel Publications.
• Kirk, R. E. (2007). Changing topics and trends in introductory statistics. In D. S. Dunn, R. A. Smith, & B. C. Beins (Eds.), Best practices for teaching statistics and research methods in the behavioral sciences (pp. 25–44). Mahwah, NJ: Lawrence Erlbaum.
• Korkmaz, H. & Kaptan, F. (2002). Fen egitiminde proje tabanli ogrenme yaklasiminin ikogretim ogrencilerinin akademik basari, akademik benlik kavrami ve calisma surelerine etkisi. H.U. Egitim Fakultesi Dergisi, 22, 91–97.
• Landrum, R. E., & Smith, R. A. (2007). Creating syllabi for statistics and research methods courses. In D. S. Dunn, R. A. Smith, & B. C. Beins (Eds.), Best practices for teaching statistics and research methods in the behavioral sciences (pp. 45–57). Mahwah, NJ: Lawrence Erlbaum.
• Linacre, J.M. (2011). Winsteps® (Version 3.72.3) [Computer Software]. Beaverton, Oregon: Winsteps.
• Masters, G. N. (1982). A rasch model for partial credit scoring. Psychometrica, 47(2), 149–174.
• Moursund, D. (1999). Project based learning using information technology. ISTE Publications.
• Mvududu, N. (2003). A cross-cultural study of the connection between students’ attitudes toward statistics and the use of constructivist strategies in the course. Journal of Statistics Education, 11(3). Retrieved from. www.amstat.org/publications/jse/v11n3/mvududu.html
• Ozdener, N. & Ozcoban, T. (2004). A project based learning model’s effectiveness on computer courses and multiple intelligence theory. Educational Science: Theory&Practice, 4(1), 176.
• Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danmarks Paedagogiske Institute.
• Rasch, G. (1980). Probabilistic models for some intelligence and attainment tests (Expanded ed.). Chicago MI: University of Chicago Press.
• Roseth, C. J., Garfield, J. B., & Ben-Zvi, D. (2008). Collaboration in learning and teaching statistics. Journal of Statistics Education, 16(1).
• Smith, G. (1998). Learning statistics by doing statistics. Journal of Statistics Education, 6(3). Retrieved from. http://www.amstat.org/publications/jse/v6n3/smith.html
• Watson, J. M., & Callingham, R. (2003). Statistical literacy: A complex hierarchical construct. Statistics Education Research Journal, 2(2), 3–46.
• Yesilcay, Y. (2000). Research project in statistics: Implications of a case study for the undergraduate statistics curriculum. Journal of Statistics Education, 8(2). www.amstat.org/publications/jse/secure/v8n2/yesilcay.cfm
• Yildiz, F. (2008). Ilkogretim 7. siniflarda “oran, oranti ve yuzdeler” unitesinin proje tabanli ogrenme ile ogrenilmesinin basari ve tutuma etkisi. Marmara University: Unpublished, MA thesis.