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WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi

Year 2025, Volume: 26 Issue: 2, 714 - 758, 02.09.2025
https://doi.org/10.17679/inuefd.1583591

Abstract

Bu çalışmanın amacı WebQuest destekli istatistik öğrenme sürecinin matematik öğretmen adaylarının istatistiksel okuryazarlıklarına etkisinin incelenmesidir. Karma yöntemin benimsendiği çalışmanın nicel boyutunda tek grup ön test-son test model, nitel boyutunda durum çalışması deseninden yararlanılmıştır. Amaçlı örnekleme yöntemlerinden ölçüt örnekleme kullanarak belirlenen 21 matematik öğretmen adayının katıldığı çalışmanın nicel verileri, İstatistiksel Okuryazarlık Ölçeği, İstatistiğe Yönelik Tutum Ölçeği ve İstatistik Öz Yeterlik İnanç Ölçeği ile nitel verileri ise görüşme formu ile toplanmıştır. Nicel veriler; ilişkili örneklemler için t testi ve Wilcoxon işaretli sıralar testi kullanılarak analiz edilmiş, sonuçların anlamlılığının test edilmesi amacıyla etki büyüklükleri hesaplanmıştır. Öğretmen adaylarıyla görüşmelerden elde edilen verilerin analizinde içerik analizi kullanılmıştır. Çalışmada, WebQuest etkinliklerinin öğretmen adaylarının istatistiksel okuryazarlıkları, istatistiğe yönelik tutumları ve istatistik özyeterlik inançlarına pozitif katkı sağladığı sonucuna ulaşılmıştır. Ayrıca öğretmen adaylarının WebQuest destekli istatistik öğrenme sürecini eğlenceli ve teknolojiyi öğrenme öğretme sürecine etkili bir şekilde entegre etme açısından yararlı buldukları; bilişsel, duyuşsal ve istatistiksel sürecin yürütülmesi açısından gelişimine olanak sağladığı ancak teknoloji, işbirlikli çalışma, verilen görevleri anlama, istatistik bilgi düzeyi, araştırma sürecinin yürütülmesi açısından yaşadıkları zorlukların da olduğu ulaşılan sonuçlar arasındadır.

References

  • Açıkgöz, K. Ü. (2011). Aktif öğrenme [Active Learning] (12th ed.). Biliş Yayınları.
  • Ak, B. (2008). Verilerin düzenlenmesi ve gösterimi [Organization and presentation of data]. Ş. Kalaycı (Ed.), SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri [SPSS Applied Multivariate Statistical Techniques] (pp. 3-47), Asil Yayın Dağıtım.
  • Altun, M. (2016). Liselerde matematik öğretimi [Mathematics teaching in high schools] (13th ed.). Aktüel Yayıncılık.
  • Aydın, S. & Atalay, T. D. (2015). Öz düzenlemeli öğrenme [Self-regulated learning]. Pegem Akademi Yayıncılık.
  • Aydin, E. & Sevimli, N. E. (2019). An investigation of preservice mathematics teachers’ self-efficacy beliefs and attitudes toward statistics. Istanbul Sabahattin Zaim University Journal of Faculty of Education, 1(1), 159-174.
  • Bellofatto, L., Bohl, N., Casey, M., Krill, M. & Dodge, B. (2001). A rubric for evaluating webquests [online]. (20 February 2012) http://webquest.sdsu.edu/webquestrubric.html
  • Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el kitabı [Handbook of data analysis for social sciences] (12th ed.). Pegem Akademi Yayıncılık.
  • Büyüköztürk, Ş., Çakmak, R. K., Akgün, Ö. E., Karadeniz, Ş. & Demirel, F. (2010). Bilimsel araştırma yöntemleri [Scientific research methods]. Pegem Akademi Yayıncılık.
  • Can, A. (2013). Spss ile bilimsel araştırma sürecinde nicel veri analizi [Quantitative data analysis in the scientific research process with SPSS]. Pegem Akademi Yayıncılık.
  • Creswell, J. W. (2003). Research design: qualitative, quantitative and mixed methods approaches (2nd edition). Sage Publications.
  • Creswell, J. W. (2006). Understanding mixed methods research (Chapter 1). Retrieved from https://www.sagepub.com/sites/default/files/upm-binaries/10981_Chapter_1.pdf
  • Dodge, B. (1997). Some thoughts about webquests [online]. (02 January 2022); https://webquest.org/sdsu/about_webquests.html.
  • Dodge, B. (2002). WebQuest taskonomy: a taxonomy of tasks [online]. (02 January 2022); http://webquest.org/sdsu/taskonomy.html
  • Doyle, P. G. (2008). Developing statistical literacy with students and teachers in the secondary mathematics classroom (Thesis, Master of Education (MEd)). The University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/2324
  • Finney, S. & Schraw, G. (2003). Self-efficacy beliefs in college statistics courses. Contemporary Educational Psychology, 28(2), 161–186. https://doi.org/10.1016/S0361-476X(02)00015-2
  • Gal, I. (2002). Adults' statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70 (1), 1-51. https://doi.org/10.1111/j.1751-5823.2002.tb00336.x
  • Gal, I., Ginsburg, L. & Schau, C. (1997). Monitoring attitudes and beliefs in statistics education. In I. Gal & J. B. Garfield (Eds.), The assessment challenge in statistics education (pp. 37–51). IOS Press.
  • Gall, M. D., Gall, J. P. & Borg, W. R. (2006). Educational research: an introduction (8th edition). Pearson Education Inc.
  • Garry, G. (2001). Project-based learning just became easy: an introduction to WebQuest. Learning Technology, 3(3), 6-9.
  • Grissom, R. J. (2015). Nonparametric effect size estimators. Post in EDSTAT-L (listserv), 16 June 2015.
  • Grissom, R. J. & Kim, J. J. (2012). Effect sizes for research: Univariate and multivariate applications (2nd edition). Routledge.
  • Guidelines for Assessment and Instruction in Statistics Education Report [GAISE] (2005). A pre - K–12 curriculum framework. American Statistical Association.
  • Halat, E. (2007). Views of pre-service elementary teachers on the use of webquest in mathematics teaching. Elementary Education Online, 6(2), 264-283.
  • Hall, S. & Vance, E. A. (2010). Improving self-efficacy in statistics: role of self-explanation & feedback. Journal of Statistics Education, 18(3), 1-22. https://doi.org/10.1080/10691898.2010.11889583
  • Ikpeze, C. H. & Boyd, F. B. (2007). Web-based inquiry learning: facilitating thoughtful literacy with webquests. The Reading Teacher, 60(7), 644-654. https://doi.org/10.1598/RT.60.7.5
  • Johnson, R. B. & Onwuegbuzie, A. J. (2004). Mixed methods research: a research paradigm whose time has come. Educational Researcher, 33(7), 14-26. http://dx.doi.org/10.3102/0013189X033007014
  • Kabadayı, H., Kocabey, İ. & Kanadlı, S. (2023). The effect of using webquest on student success: a mixed research. Mersin University Journal of the Faculty of Education, 19(2), 132-154. https://doi.org/10.17860/mersinefd.1017283
  • Karasar, N. (2008). Bilimsel araştırma yöntemi [Scientific research method]. Nobel Yayın Dağıtım.
  • Kelley, T. R., Knowles, J. G., Holland, J. D. & Han, J. (2020). Increasing high school teachers self-efficacy for integrated STEM instruction through a collaborative community of practice. International Journal of STEM Education, 7(14), 1-13. https://doi.org/10.1186/s40594-020-00211-w
  • Kelly, R. (2000). Working with webquests: making the web accessible to students with disabilities. Teaching Exceptional Children, 32(6), 4-13. https://doi.org/10.1177/004005990003200601
  • Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 1. https://doi.org/10.2466/11.IT.3.1
  • Kılıç, R. (2007). The effects of webquest assisted cooperative learning method on the attitudes and achievement towards mathematics lesson. (Publication No. 187071) [Master thesis, Eskişehir Osmangazi University]. CoHE Thesis Center.
  • Kılıç, S. (2011). What do we be after? Holy p value (statistical significance) or clinical significance?. Journal of Mood Disorders, 1, 46-48.
  • Kılıç, S. (2014). Effect size. Journal of Mood Disorders, 4(1), 44-6.
  • Kobak, M. (2013). Preservice teachers' level of the making connections in WebQuest activities and opinions about process. (Publication No. 337171) [Master thesis, Balıkesir University]. CoHE Thesis Center.
  • Koparan, T. (2012). The effect of project based learning approach on the statistical literacy levels and attitude towards statistics of student. (Publication No. 344459) [Doctoral dissertation, Karadeniz Technical University]. CoHE Thesis Center.
  • Kurtuluş, A. & Kılıç, R. (2009). The effect of webquest-aided cooperative learning method on mathematic learning. E-Journal of New World Sciences Academy Education Science, 4(1), 62-70.
  • Leavy, A. & Hourigan, M. (2015). Crime scenes and mystery players! Using driving questions to support the development of statistical literacy. Teaching Statistics, 38(1), 29-35. https://doi.org/10.1111/test.12088
  • March, T. (2000). The 3 R's of webquests. Multimedia Schools, 7(6), 62- 63. (2 February 2022); http://www.infotoday.com/MMSchools/nov00/march.html
  • March, T. (2003). What webquests (really) are? [online]. (02 January 2022); http://tommarch.com/writings/what-webquests-are
  • Merriam, S. B. (2009). Qualitative research a guide to design and implementation (3rd edition). John Willey & Sons Inc.
  • Morgan, G. A., Leech, N. L., Gloeckner, G. W. & Barret, K. C. (2004). SPSS for introductory statistic: use and interpretation (2nd edition). Lawrance Erlbaum Associates.
  • Olejnik, S. & Algina, J. (2003). Generalized eta and omega squared statistics: measures of effect size for some common research designs. Psychological Methods, 8(4), 434-447. https://doi.org/10.1037/1082-989X.8.4.434
  • Özerbaş, M. A. (2012). Impact of webquest learning environment on academic achievement and attitudes of students. Ahi Evran University Journal of Kırşehir Education Faculty (KEFAD), 13(2), 299-315.
  • Pintrich, P. R. (2000). The roal of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich and M. Zeidner (Eds.), Handbook of Self-Regulation: Theory, Research and Applications (pp. 452–502), CA: Academic Pres.
  • Sevimli, N. & Aydın, E. (2017). İstatistik öz yeterlilik inanç ölçeğinin Türkiye örneklemine uyarlanması, Eğitim ve İnsani Bilimler Dergisi, 8(16), 44-57.
  • Shultz, K. S. & Koshino, H. (1998). Evidence of reliability and validity for Wise's attitude toward statistics scale. Psychological Reports, 82(2), 27–31. https://doi.org/10.2466/pr0.1998.82.1.27
  • Summerville, J. (2000). WebQuests: an aspect of technology integration for training preservice teachers. TechTrends, 44(2), 31-35. https://doi.org/10.1007/BF02822950
  • Şahin, F. (2012). A study for development of statistical literacy scale for undergraduate students (Publication No. 312112) [Master thesis, Boğaziçi University]. CoHE Thesis Center.
  • URL 1 What is a webquest? [online]. (20 January 2022); http://webquest.org/index.php
  • URL 2 Webquest 101 - Putting Discovery into the curriculum [online]. (20 January 2022); https://www.teachersfirst.com/exclusives/webquest/
  • URL 3 Yeni öğretmen yetiştirme lisans programları [New teacher training undergraduate programs]. https://www.yok.gov.tr/kurumsal/idari-birimler/egitim-ogretim-dairesi/yeni-ogretmen-yetistirme-lisans-programlari (18 December 2021)
  • Üzel, D. (2012). WebQuest based learning: the attitudes of primary students towards mathematics. The New Educational Review, 27(1), 209-220.
  • Vargha, A. & Delaney, H. D. (2000). A critique and improvement of the CL common language effect size statistics of McGraw and Wong. Journal of Educational and Behavioral Statistics, 25(2), 101-132. https://doi.org/10.2307/1165329
  • Wallman, K. K. (1993). Enhancing statistical literacy: enriching our society. Journal of the American Statistical Association, 88, 1-8. https://doi.org/10.2307/2290686
  • Watson, J. & Callingham, R., (2003) Statistical literacy: A complex hierarchical construct. Statistics Education Research Journal, 2, 3-46. https://doi.org/10.52041/serj.v2i2.553
  • Watson, J. M. (2006). Statistical literacy at school, growth and goal. Lawrence Erlbaum Associates Publishers.
  • Yabacı Tak, A. (2021). Comparison of effect size methods. (Publication No. 690072) [Doctoral dissertation, Bursa Uludağ University]. CoHE Thesis Center.
  • Yang, D. & Dalton, J. E. (2012, April). A unified approach to measuring the effect size between two groups using SAS. Paper presented at: SAS Global Forum, Orlando, FL.
  • Yaşar, M. (2014). Attitudes toward statistics scale: validity and reliability study. Pamukkale University Journal of Education (PUJE), 36, 59-75. https://doi.org/10.9779/PUJE640
  • Yıldırım, A. & Şimşek, H. (2008). Sosyal bilimlerde nitel araştırma yöntemleri [Qualitative research methods in social sciences]. Seçkin Yayıncılık.
  • Yücel, Z. (2011). The effects of webquest-supported mathematics instruction on sixth grade students? critical thinking skills. (Publication No. 295219) [Master Thesis, Süleyman Demirel University]. CoHE Thesis Center.

Investigation Of WebQuest-Supported Statistics Teaching's Effect On Preservice Math Teachers' Statistical Literacy

Year 2025, Volume: 26 Issue: 2, 714 - 758, 02.09.2025
https://doi.org/10.17679/inuefd.1583591

Abstract

The aim of this study is to investigate the impact of a WebQuest-based approach to statistics education on the statistical literacy of pre-service mathematics teachers. In this mixed research, a single-group pretest-posttest model was utilized in the quantitative dimension and a case study design was employed in the qualitative dimension. Participation consisted of 21 pre-service mathematics teachers, selected through criterion sampling of purposive sampling methods Quantitative data were collected through the use of the Statistical Literacy Scale, Attitude Towards Statistics Scale, and Statistics Self-Efficacy Belief Scale. Qualitative data was acquired via an interview format. Paired sample T-test and the Wilcoxon signed-rank test and was conducted to examine the quantative data. Furthermore, effect sizes were calculated in order to evaluate the significance of the results. A content analysis was conducted on interview data. In the study, it was concluded that WebQuest activities contributed positively to the statistical literacy, attitudes towards statistics and statistical self-efficacy beliefs of the pre-service teachers. In addition, it was found that the pre-service teachers found the WebQuest-supported statistics learning process fun and useful in terms of effectively integrating technology into the learning-teaching process; it enabled their development in terms of cognitive, affective and statistical process implementation, but there were also difficulties they experienced in terms of technology, collaborative work, understanding the given tasks, level of statistical knowledge and execution of the research process.

References

  • Açıkgöz, K. Ü. (2011). Aktif öğrenme [Active Learning] (12th ed.). Biliş Yayınları.
  • Ak, B. (2008). Verilerin düzenlenmesi ve gösterimi [Organization and presentation of data]. Ş. Kalaycı (Ed.), SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri [SPSS Applied Multivariate Statistical Techniques] (pp. 3-47), Asil Yayın Dağıtım.
  • Altun, M. (2016). Liselerde matematik öğretimi [Mathematics teaching in high schools] (13th ed.). Aktüel Yayıncılık.
  • Aydın, S. & Atalay, T. D. (2015). Öz düzenlemeli öğrenme [Self-regulated learning]. Pegem Akademi Yayıncılık.
  • Aydin, E. & Sevimli, N. E. (2019). An investigation of preservice mathematics teachers’ self-efficacy beliefs and attitudes toward statistics. Istanbul Sabahattin Zaim University Journal of Faculty of Education, 1(1), 159-174.
  • Bellofatto, L., Bohl, N., Casey, M., Krill, M. & Dodge, B. (2001). A rubric for evaluating webquests [online]. (20 February 2012) http://webquest.sdsu.edu/webquestrubric.html
  • Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el kitabı [Handbook of data analysis for social sciences] (12th ed.). Pegem Akademi Yayıncılık.
  • Büyüköztürk, Ş., Çakmak, R. K., Akgün, Ö. E., Karadeniz, Ş. & Demirel, F. (2010). Bilimsel araştırma yöntemleri [Scientific research methods]. Pegem Akademi Yayıncılık.
  • Can, A. (2013). Spss ile bilimsel araştırma sürecinde nicel veri analizi [Quantitative data analysis in the scientific research process with SPSS]. Pegem Akademi Yayıncılık.
  • Creswell, J. W. (2003). Research design: qualitative, quantitative and mixed methods approaches (2nd edition). Sage Publications.
  • Creswell, J. W. (2006). Understanding mixed methods research (Chapter 1). Retrieved from https://www.sagepub.com/sites/default/files/upm-binaries/10981_Chapter_1.pdf
  • Dodge, B. (1997). Some thoughts about webquests [online]. (02 January 2022); https://webquest.org/sdsu/about_webquests.html.
  • Dodge, B. (2002). WebQuest taskonomy: a taxonomy of tasks [online]. (02 January 2022); http://webquest.org/sdsu/taskonomy.html
  • Doyle, P. G. (2008). Developing statistical literacy with students and teachers in the secondary mathematics classroom (Thesis, Master of Education (MEd)). The University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/2324
  • Finney, S. & Schraw, G. (2003). Self-efficacy beliefs in college statistics courses. Contemporary Educational Psychology, 28(2), 161–186. https://doi.org/10.1016/S0361-476X(02)00015-2
  • Gal, I. (2002). Adults' statistical literacy: Meanings, components, responsibilities. International Statistical Review, 70 (1), 1-51. https://doi.org/10.1111/j.1751-5823.2002.tb00336.x
  • Gal, I., Ginsburg, L. & Schau, C. (1997). Monitoring attitudes and beliefs in statistics education. In I. Gal & J. B. Garfield (Eds.), The assessment challenge in statistics education (pp. 37–51). IOS Press.
  • Gall, M. D., Gall, J. P. & Borg, W. R. (2006). Educational research: an introduction (8th edition). Pearson Education Inc.
  • Garry, G. (2001). Project-based learning just became easy: an introduction to WebQuest. Learning Technology, 3(3), 6-9.
  • Grissom, R. J. (2015). Nonparametric effect size estimators. Post in EDSTAT-L (listserv), 16 June 2015.
  • Grissom, R. J. & Kim, J. J. (2012). Effect sizes for research: Univariate and multivariate applications (2nd edition). Routledge.
  • Guidelines for Assessment and Instruction in Statistics Education Report [GAISE] (2005). A pre - K–12 curriculum framework. American Statistical Association.
  • Halat, E. (2007). Views of pre-service elementary teachers on the use of webquest in mathematics teaching. Elementary Education Online, 6(2), 264-283.
  • Hall, S. & Vance, E. A. (2010). Improving self-efficacy in statistics: role of self-explanation & feedback. Journal of Statistics Education, 18(3), 1-22. https://doi.org/10.1080/10691898.2010.11889583
  • Ikpeze, C. H. & Boyd, F. B. (2007). Web-based inquiry learning: facilitating thoughtful literacy with webquests. The Reading Teacher, 60(7), 644-654. https://doi.org/10.1598/RT.60.7.5
  • Johnson, R. B. & Onwuegbuzie, A. J. (2004). Mixed methods research: a research paradigm whose time has come. Educational Researcher, 33(7), 14-26. http://dx.doi.org/10.3102/0013189X033007014
  • Kabadayı, H., Kocabey, İ. & Kanadlı, S. (2023). The effect of using webquest on student success: a mixed research. Mersin University Journal of the Faculty of Education, 19(2), 132-154. https://doi.org/10.17860/mersinefd.1017283
  • Karasar, N. (2008). Bilimsel araştırma yöntemi [Scientific research method]. Nobel Yayın Dağıtım.
  • Kelley, T. R., Knowles, J. G., Holland, J. D. & Han, J. (2020). Increasing high school teachers self-efficacy for integrated STEM instruction through a collaborative community of practice. International Journal of STEM Education, 7(14), 1-13. https://doi.org/10.1186/s40594-020-00211-w
  • Kelly, R. (2000). Working with webquests: making the web accessible to students with disabilities. Teaching Exceptional Children, 32(6), 4-13. https://doi.org/10.1177/004005990003200601
  • Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 1. https://doi.org/10.2466/11.IT.3.1
  • Kılıç, R. (2007). The effects of webquest assisted cooperative learning method on the attitudes and achievement towards mathematics lesson. (Publication No. 187071) [Master thesis, Eskişehir Osmangazi University]. CoHE Thesis Center.
  • Kılıç, S. (2011). What do we be after? Holy p value (statistical significance) or clinical significance?. Journal of Mood Disorders, 1, 46-48.
  • Kılıç, S. (2014). Effect size. Journal of Mood Disorders, 4(1), 44-6.
  • Kobak, M. (2013). Preservice teachers' level of the making connections in WebQuest activities and opinions about process. (Publication No. 337171) [Master thesis, Balıkesir University]. CoHE Thesis Center.
  • Koparan, T. (2012). The effect of project based learning approach on the statistical literacy levels and attitude towards statistics of student. (Publication No. 344459) [Doctoral dissertation, Karadeniz Technical University]. CoHE Thesis Center.
  • Kurtuluş, A. & Kılıç, R. (2009). The effect of webquest-aided cooperative learning method on mathematic learning. E-Journal of New World Sciences Academy Education Science, 4(1), 62-70.
  • Leavy, A. & Hourigan, M. (2015). Crime scenes and mystery players! Using driving questions to support the development of statistical literacy. Teaching Statistics, 38(1), 29-35. https://doi.org/10.1111/test.12088
  • March, T. (2000). The 3 R's of webquests. Multimedia Schools, 7(6), 62- 63. (2 February 2022); http://www.infotoday.com/MMSchools/nov00/march.html
  • March, T. (2003). What webquests (really) are? [online]. (02 January 2022); http://tommarch.com/writings/what-webquests-are
  • Merriam, S. B. (2009). Qualitative research a guide to design and implementation (3rd edition). John Willey & Sons Inc.
  • Morgan, G. A., Leech, N. L., Gloeckner, G. W. & Barret, K. C. (2004). SPSS for introductory statistic: use and interpretation (2nd edition). Lawrance Erlbaum Associates.
  • Olejnik, S. & Algina, J. (2003). Generalized eta and omega squared statistics: measures of effect size for some common research designs. Psychological Methods, 8(4), 434-447. https://doi.org/10.1037/1082-989X.8.4.434
  • Özerbaş, M. A. (2012). Impact of webquest learning environment on academic achievement and attitudes of students. Ahi Evran University Journal of Kırşehir Education Faculty (KEFAD), 13(2), 299-315.
  • Pintrich, P. R. (2000). The roal of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich and M. Zeidner (Eds.), Handbook of Self-Regulation: Theory, Research and Applications (pp. 452–502), CA: Academic Pres.
  • Sevimli, N. & Aydın, E. (2017). İstatistik öz yeterlilik inanç ölçeğinin Türkiye örneklemine uyarlanması, Eğitim ve İnsani Bilimler Dergisi, 8(16), 44-57.
  • Shultz, K. S. & Koshino, H. (1998). Evidence of reliability and validity for Wise's attitude toward statistics scale. Psychological Reports, 82(2), 27–31. https://doi.org/10.2466/pr0.1998.82.1.27
  • Summerville, J. (2000). WebQuests: an aspect of technology integration for training preservice teachers. TechTrends, 44(2), 31-35. https://doi.org/10.1007/BF02822950
  • Şahin, F. (2012). A study for development of statistical literacy scale for undergraduate students (Publication No. 312112) [Master thesis, Boğaziçi University]. CoHE Thesis Center.
  • URL 1 What is a webquest? [online]. (20 January 2022); http://webquest.org/index.php
  • URL 2 Webquest 101 - Putting Discovery into the curriculum [online]. (20 January 2022); https://www.teachersfirst.com/exclusives/webquest/
  • URL 3 Yeni öğretmen yetiştirme lisans programları [New teacher training undergraduate programs]. https://www.yok.gov.tr/kurumsal/idari-birimler/egitim-ogretim-dairesi/yeni-ogretmen-yetistirme-lisans-programlari (18 December 2021)
  • Üzel, D. (2012). WebQuest based learning: the attitudes of primary students towards mathematics. The New Educational Review, 27(1), 209-220.
  • Vargha, A. & Delaney, H. D. (2000). A critique and improvement of the CL common language effect size statistics of McGraw and Wong. Journal of Educational and Behavioral Statistics, 25(2), 101-132. https://doi.org/10.2307/1165329
  • Wallman, K. K. (1993). Enhancing statistical literacy: enriching our society. Journal of the American Statistical Association, 88, 1-8. https://doi.org/10.2307/2290686
  • Watson, J. & Callingham, R., (2003) Statistical literacy: A complex hierarchical construct. Statistics Education Research Journal, 2, 3-46. https://doi.org/10.52041/serj.v2i2.553
  • Watson, J. M. (2006). Statistical literacy at school, growth and goal. Lawrence Erlbaum Associates Publishers.
  • Yabacı Tak, A. (2021). Comparison of effect size methods. (Publication No. 690072) [Doctoral dissertation, Bursa Uludağ University]. CoHE Thesis Center.
  • Yang, D. & Dalton, J. E. (2012, April). A unified approach to measuring the effect size between two groups using SAS. Paper presented at: SAS Global Forum, Orlando, FL.
  • Yaşar, M. (2014). Attitudes toward statistics scale: validity and reliability study. Pamukkale University Journal of Education (PUJE), 36, 59-75. https://doi.org/10.9779/PUJE640
  • Yıldırım, A. & Şimşek, H. (2008). Sosyal bilimlerde nitel araştırma yöntemleri [Qualitative research methods in social sciences]. Seçkin Yayıncılık.
  • Yücel, Z. (2011). The effects of webquest-supported mathematics instruction on sixth grade students? critical thinking skills. (Publication No. 295219) [Master Thesis, Süleyman Demirel University]. CoHE Thesis Center.
There are 62 citations in total.

Details

Primary Language Turkish
Subjects Mathematics Education
Journal Section Articles
Authors

Tuğçe Şap 0000-0003-3347-4408

Mevhibe Kobak Demir 0000-0001-6614-4101

Publication Date September 2, 2025
Submission Date November 12, 2024
Acceptance Date July 10, 2025
Published in Issue Year 2025 Volume: 26 Issue: 2

Cite

APA Şap, T., & Kobak Demir, M. (2025). WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi. İnönü Üniversitesi Eğitim Fakültesi Dergisi, 26(2), 714-758. https://doi.org/10.17679/inuefd.1583591
AMA Şap T, Kobak Demir M. WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi. INUJFE. September 2025;26(2):714-758. doi:10.17679/inuefd.1583591
Chicago Şap, Tuğçe, and Mevhibe Kobak Demir. “WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi”. İnönü Üniversitesi Eğitim Fakültesi Dergisi 26, no. 2 (September 2025): 714-58. https://doi.org/10.17679/inuefd.1583591.
EndNote Şap T, Kobak Demir M (September 1, 2025) WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi. İnönü Üniversitesi Eğitim Fakültesi Dergisi 26 2 714–758.
IEEE T. Şap and M. Kobak Demir, “WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi”, INUJFE, vol. 26, no. 2, pp. 714–758, 2025, doi: 10.17679/inuefd.1583591.
ISNAD Şap, Tuğçe - Kobak Demir, Mevhibe. “WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi”. İnönü Üniversitesi Eğitim Fakültesi Dergisi 26/2 (September2025), 714-758. https://doi.org/10.17679/inuefd.1583591.
JAMA Şap T, Kobak Demir M. WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi. INUJFE. 2025;26:714–758.
MLA Şap, Tuğçe and Mevhibe Kobak Demir. “WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi”. İnönü Üniversitesi Eğitim Fakültesi Dergisi, vol. 26, no. 2, 2025, pp. 714-58, doi:10.17679/inuefd.1583591.
Vancouver Şap T, Kobak Demir M. WebQuest Destekli İstatistik Öğretiminin Öğretmen Adaylarının İstatistiksel Okuryazarlıklarına Etkisinin İncelenmesi. INUJFE. 2025;26(2):714-58.