Cited by 57Problem and Project Based LearningScience Education and PedagogyInnovative Teaching and Learning Methods

The Effect of the Project-Based Learning Approach on the Academic Achievements of the Students in Science Classes in Turkey: A Meta-Analysis Study

Open access
Ayaz, Mehmet, Söylemez, Mikail·2015·Education and Science

Abstract

In this research, the study of the meta-analysis is conducted to identify that the project-based learning approach affects the academic achievements of the students in science classes. Therefore, related literature of studies done in Turkey is reviewed. Master, doctoral dissertations and articles (between 2002 and 2013), related to the research problem and having statistical data about the study of the meta-analysis, are analysed by scanning from national and international database in Turkish and English. There are 41 studies including the sample about the effects of the project-based learning on the academic achievements of the students in science classes. 42 effect size values were obtained from these studies. The result of the meta-analysis shows that the project-based learning approach is more effective than traditional teaching methods about the academic achievements of the students in science classes. The effect size of the Project-based learning approach, between 0,777-1,218 confidence interval, has been found 0,997 (%95 CI, SE=0,112) about the academic achievements of the students in science classes by using random effect model. This value is moderate level to Cohen, Manion and Morrison’s the classification of the effect size (2007). Among the studies that are included in this study, 39 of 42 studies have positive, 3 of 42 studies have negative effect size value. Intermediate variables (moderator) analyses have been done at meta analysis studies, natural sciences, education levels, sample size, application time, used methods and types of publications. In these studies that have positive effect value; three of them are at poor, five of them are at modest, eleven of them are at moderate and twenty of them are at strong effect size level. As a result of analysis done by the intermediate variables the highest effect sizes have been observed at high school degree (ES=1,536), in physics (ES=1,046) and between 1-20 lesson hours (ES=1,203). The highest effect size in all variables has been observed at high school degree (ES=1,536). At the end of the study; according to the results of the research, there are some recommendations for the researchers and instructors.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.15390/eb.2015.4000

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 33

  1. Açıkel, C. (2009). Meta analiz ve kanıta dayalı tıptaki yeri. Klinik Psikofarmoloji Bülteni, 19(2), 164-172.
  2. Akçil, M. ve Karaağaoğlu, E. (2001). Tıpta meta-analizi. Hacettepe Tıp Dergisi, 32(2), 184-190.
  3. Akgöz, S., Ercan, İ. ve Kan, İ. (2004). Meta-analizi. Uludağ Üniversitesi Tıp Fakültesi Dergisi, 30(2), 107- 112.
  4. Borenstein, M., Hedges, L. V., Higgins, J. P. T. ve Rothstein, H. R. (2009). Introduction to meta-analysis . United Kingdom: John Wiley and Sons, Ltd. Publication.
  5. Bryant, F. B., Kastrup, H., Udo, M., Hislop, N., Shefner, R. ve Mallow, J. (2013). Science anxiety, science attitudes, and constructivism: A binational study. Journal of Science Education and Technology, 22(4), 432-448.
  6. Chambers, E. (2004). An introduction to meta-analysis with articles from the journal of educational research (1992-2002). The Journal of Educational Research, 98(1), 35-44.
  7. Chang, S. H., Wu, T. C., Kuo, Y. K. ve You, L. C. (2012). Project-based learning with an online peer assessment system in a photonics instruction for enhancing led design skills. The Turkish Online Journal of Educational Technology, 11(4), 236-246.
  8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. New York: Academic Press.
  9. Cohen, L., Manion, L. ve Morrison, K. (2007). Research methods in education (6th Edition). New York: Routledge.
  10. Cooper, H., Hedges, L. V. ve Valentine, J. C. (2009). The handbook of research synthesis and meta-analysis (2nd edition). New York: Russell Sage Publication.
  11. Doppelt, Y. (2003). Implementation and assessment of project-based learning in a flexible environment. International Journal of Technology and Design Education, 13, 255-272.
  12. Ellis, P. D. (2010). The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results. Cambridge: Cambridge University Press.
  13. Erdem, M. ve Akkoyunlu, B. (2002). İlkögretim sosyal bilgiler dersi kapsamında beşinci sınıf öğrencileriyle yürütülen ekiple proje tabanlı öğrenme üzerine bir çalışma. İlköğretim Online, 1(1), 2-11.
  14. Ergene, T. (1999). Effectiveness of test anxiety reduction programs: A meta-analysis review. Doktora tezi. Ohio: Ohio Üniversitesi.
  15. Frank, M. ve Barzilai, A. (2004). Integrating alternative assessment in a project based learning course for preservice science and technology teachers. Assessment and Evaluation in Higher Education, 1(29), 41-61.
  16. Hedges, L.V. ve Olkin, I. (1985). Statistical methods for meta-analysis. New York: Academic Press.
  17. Huffcutt, A. (2002). Research perspectives on meta analysis. S. G. Rogelberg içinde, Handbook of research methods in industrial and organizational psychology (s. 198-215). Oxford: Blackwell Publishers Ltd.
  18. Hung, C. M., Hwang, G. J. ve Huang, I. (2012). A project-based digital storytelling approach for improving students' learning motivation, problem-solving competence and learning achievement. Educational Technology and Society, 15(4), 368-379.
  19. Hunter, J. E. ve Schmidt, F. L. (1990). Methods of meta-analysis: Correcting error and bias in research findings. London: Sage Publications.
  20. Kaldi, S., Filippatou D. ve Govaris C. (2011). Project-based learning in primary schools: Effects on pupils' learning and attitudes. Education 3-13: International Journal of Primary, Elementary and Early Years Education, 39(1), 35-47.
  21. Kinnucan-Welsch, K. ve Jenlink, P. M. (1998). Challenging assumptions about teaching and learning: Three case studies in constructivist pedagogy. Teaching and Teacher Education, 14(4), 413-427.
  22. Lipsey, M. ve Wilson, D. (2001). Practical meta-analysis. Beverly Hills, CA: Sage Publications.
  23. Maypole, J. ve Davies, T. G. (2001). Students' perceptions of constructivist learning in a community college american history 11 survey course. Community College Review, 29(2), 54-79.
  24. Miles, M. B. ve Huberman, A. M. (2002). The qualitative researcher's companion. California: Sage Publications.
  25. Rice, M. L. ve Wilson, E. K. (1999). How technology aids constructivism in the social studies classroom. The Social Studies, 90(1), 28-33.
  26. Rosenthal, R. (1991). Meta-analytic procedures for social research. Beverly Hills, CA: Sage Publications.
  27. Shelby, L. B. ve Vaske, J. J. (2008). Understanding meta-analysis: A review of the methodological literature. Leisure Sciences, 30, 96-110.
  28. Tan, M. ve Temiz, B. K. (2003). Fen öğretiminde bilimsel süreç becerilerinini yeri ve önemi. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 1(13), 89-101.
  29. Taylor, P. C., Fraser, B. J. ve Fisher, D. L. (1997). Monitoring constructivist classroom learning environments. International Journal of Educational Research, 27(4), 293-302.
  30. Üstün, U. ve Eryılmaz, A. (2014). Etkili araştırma sentezleri yapabilmek için bir araştırma yöntemi: Meta-analiz. Eğitim ve Bilim, 39(174), 1-32.
  31. Wells, K. ve Littell, J. H. (2009). Study quality assessment in systematic reviews of research on intervention effects. Research on Social Work Practice, 19(1), 52-62.
  32. Wolf, F. M. (1988). Meta-analysis quantitative methods for research synthesis (Third edition). California: Sage Publications.
  33. Yurdatapan, M., Güven, İ. ve Şahin, F. (2013). Fen ve teknoloji dersinde proje tabanlı öğretimin ilkokul 4. sınıf öğrencilerinin bilimsel süreç becerilerine etkisi. International Journal of Social Science, 6(1), 1623-1640.

Authors
Ayaz, M., & Söylemez, M.
Affiliations
Dicle University (TR)
Venue
Education and Science
Published
2015-05-03
Volume
40
Issue
178
Pages
255-283
ISSN
1300-1337 (ISSN-L)
OpenAlex
W1667493492
Cited by
57
References
1
Citations by year
2026: 3 · 2025: 4 · 2024: 7 · 2023: 11 · 2022: 11 · 2021: 4 · 2020: 9 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 3
FWCI
1.13
Type
journal article
Language
en
Open access
Locations
  • TED EĞİTİM VE BİLİM (publishedVersion, cc-by)
  • Turkish Education Association - Journal of Education and Science (submittedVersion, cc-by)
Topics
  • Social Sciences › Education › Problem and Project Based Learning
  • Social Sciences › Education › Science Education and Pedagogy
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
Keywords
project-based learning, academic performance, science education, effect size, traditional teaching methods, high school students, physics education, Turkish education

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review