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İlköğretim Matematik ve Türkçe Öğretmenlerinin Uzaktan Eğitime Bakışları: Bir Ölçek Geliştirme Çalışması

Year 2023, , 646 - 665, 20.10.2023
https://doi.org/10.17522/balikesirnef.1354562

Abstract

Bu çalışmada COVİD-19 pandemisi döneminde normal eğitime ara verilerek uzaktan eğitime geçilmesi nedeniyle, uzaktan eğitim vermeye başlayan İlköğretim Matematik ve Türkçe Öğretmenlerinin uzaktan eğitime yönelik tutumlarını belirlemek için geçerli ve güvenilir bir ölçek geliştirme amaçlanmıştır. İlk önce alanyazın taraması yapılmış, daha sonra ise 119 maddelik madde havuzu oluşturulmuştur. Oluşturulan maddeler 3 alan uzmanına ve 1 dil uzmanına incelettirilmiştir. İncelemelerden sonra kalan 59 madde ile Balıkesir ili 6 ilçesinde 145 öğretmene pilot uygulama yapılarak veriler toplanmıştır. Toplanan verilerin Açıklayıcı Faktör Analizi (AFA) yapılmıştır. AFA sonucu 5 faktör ve 16 maddeden oluşan bir ölçek geliştirilmiştir. AFA sonucu oluşan ölçek daha büyük bir örneklem grubuna uygulanmıştır(N=321). Elde edilen verilerin Doğrulayıcı Faktör Analizi (DFA) yapılmıştır. DFA sonucu tüm uyum indeksleri iyi uyum ve mükemmel uyum olarak tespit edilmiştir. Tüm bunların sonucunda geçerli ve güvenilir 5 faktör ve 16 maddeden oluşan bir ölçek geliştirilmiştir.

References

  • Alkan, M., Genç, Ö., Tekeder, H. (2003). İletişim teknolojileri ile bütünleşik bir uzaktan öğretim ortamının geleneksel sınıf öğretimine göre üstünlükleri ve sınırlamaları [Advantages and limitations of a distance education environment integrated with communication technologies compared to traditional classroom teaching]. Elektrik-Elektronik-Bilgisayar Mühendislikleri Eğitimi 1. Ulusal Sempozyumu, May 2003, Ankara.
  • Anastasi, A. (1982). Psychological testing. Mcmillan Publishing Co.
  • Ary, D., Jacobs, L.C., & Razavieh, A. (2002). Introduction to research in education. Wadsworth/Thomson Learning.
  • Anderson, L. & Çıkrıkçı, N. (1991). Tutumların ölçülmesi [Measuring attitudes]. Ankara University Journal of Faculty of Educational Sciences (JFES), 24(1), 241-250. https://doi.org/10.1501/Egifak_0000000734
  • Baltacı, Ö., Akbulut, Ö. F., & Zafer, R. (2020). Problematic Internet use in the COVID-19 pandemic: A qualitative study. Kırşehir Ahi Evran University Journal of Health Sciences, 1(3), 126-140. Retrieved from https://dergipark.org.tr/tr/pub/ahievransaglik/issue/64424/979283
  • Bozkurt, A. (2017). The past, present and future of the distance education in Turkey. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 3(2), 85-124. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/34117/378446
  • Bozkurt, A. (2020). Koronavirüs (COVID-19) pandemi süreci ve pandemi sonrası dünyada eğitime yönelik değerlendirmeler: Yeni normal ve yeni eğitim paradigması [The coronavirus (COVID-19) pandemic process and assessments on education in the post-pandemic world: New normal and new education paradigm]. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(3), 112-142. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/56247/773769
  • Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to Corona Virus pandemic. Asian Journal of Distance Education, 15(1), i-vi. https://doi.org/10.5281/zenodo.3778083
  • Büyüköztürk, Ş. (2007). Sosyal bilimler için veri analizi el kitabı [Data analysis handbook for social sciences]. Pegem Akademi Yayıncılık.
  • Büyüköztürk, Ş. (2018). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni SPSS uygulamaları ve yorum [Data analysis handbook for social sciences: Statistics, research design, SPSS applications and interpretation]. Pegem Akademi Yayıncılık.
  • Büyüköztürk, Y. D. D. Ş. (2002). Factor analysis: Basic concepts and using to development scale. Educational Administration: Theory and Practice, 32(32), 470-483. Retrieved from https://dergipark.org.tr/tr/pub/kuey/issue/10365/126871
  • Cattell, R. B. (1996) The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276. http://dx.doi.org/10.1207/s15327906mbr0102_10
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik [Multivariate statistics for social sciences]. Pegem Akademi Yayıncılık.
  • Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10, 1-9. https://doi.org/10.7275/jyj1-4868
  • Devran, Y., & Elitaş, T. (2016). Distance education: Opportunities and threats. AJIT-e: Online Academic Journal of Information Technology, 8(27), 27-31. https://doi.org/10.5824/1309-1581.2017.2.003.x
  • Field, A. (2005). Discovering statistics Using SPSS (2nd ed.). Sage Publications.
  • Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modeling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53-60. Retrieved from https://academic-publishing.org/index.php/ejbrm/article/view/1224/1187
  • Hoyle, R. H. (1995). Structural equation modeling. Sage Publications.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. https://doi.org/10.1080/10705519909540118
  • Kavuk, E., & Demirtaş, D. D. H. (2021). Difficulties Experienced by Teachers in the Distance Education During COVID-19 Pandemic. E-International Journal of Pedandragogy, 1, 55-73. https://trdoi.org/10.27579808/e-ijpa.20
  • Kaya, Z. (2002). Uzaktan eğitim [Distance education]. Pegem Akademi Yayıncılık.
  • Kline, P. (1994). An easy guide to factor analysis. Routledge
  • Kürtüncü, M., & Kurt, A. (2020). Problems of nursing students in distance education in the COVID-19 pandemia period. Eurasian Journal of Social and Economic Research (EJSER), 7(5), 66-77. https://dergipark.org.tr/tr/download/article-file/1128112
  • Özbay, Ö. (2015). The current status of distance education in the World and Turkey. The Journal of International Educational Sciences, 2(5), 376-376. https://dergipark.org.tr/tr/pub/inesj/issue/40015/475774
  • Pallant, J. (2020). SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS. Routledge.
  • Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2nd ed.). Routledge.
  • Scherer, R. F., Wiebe, F. A., Luther, D. C., & Adams, J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports, 62(3), 763-770. https://doi.org/10.2466/pr0.1988.62.3.763
  • Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Lawrence Erlbaum.
  • Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42, 893-898. https://doi.org/10.1016/j.paid.2006.09.017
  • Stevens, J. (2002). Applied multivariate statistics for the social sciences (4th Ed.). Lawrence Erlbaum.
  • Tabachnick, B. G., & Fidell, L. S. (2005). Using multivariate statistics (4th ed.). Allyn & Bacon.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Allyn & Bacon.
  • Yılmaz, V., & Celik, H. E. (2009). LİSREL ile yapısal eşitlik modellemesi 1 [Structural equation modeling with LISREL 1]. Pegem Akademi Yayıncılık.
  • Zan, N., Zan, B. U. (2020). Education in emergency at coronavirus: Overview of faculty of letters students included to distance education system from different regions of Turkey. Turkish Studies, 15(4), 1367-1394. https://dx.doi.org/10.7827/TurkishStudies.44365

Primary Mathematics and Turkish Teachers' Views on Distance Education: A Scale Development Study

Year 2023, , 646 - 665, 20.10.2023
https://doi.org/10.17522/balikesirnef.1354562

Abstract

This study aimed to develop a valid and reliable scale to determine the attitudes of primary school mathematics teachers and Turkish teachers who started to give distance education due to the transition from normal education to distance education during the COVID-19 pandemic. First, a literature review was conducted, and then an item pool of 119 items was created. The created items were examined by five field experts and one language expert. After the examinations, the remaining 59 items and 145 teachers in six districts of Balıkesir province were piloted, and data were collected. An explanatory factor analysis (EFA) of the collected data was performed. As a result of EFA, a scale consisting of five factors and 16 items was developed. The scale formed as a result of EFA was applied to a larger sample group (N = 321). A confirmatory factor analysis (CFA) of the obtained data was performed. As a result of the CFA, all fit indices were determined to be good or perfect. As a result, a valid and reliable scale consisting of five factors and 16 items was developed.

References

  • Alkan, M., Genç, Ö., Tekeder, H. (2003). İletişim teknolojileri ile bütünleşik bir uzaktan öğretim ortamının geleneksel sınıf öğretimine göre üstünlükleri ve sınırlamaları [Advantages and limitations of a distance education environment integrated with communication technologies compared to traditional classroom teaching]. Elektrik-Elektronik-Bilgisayar Mühendislikleri Eğitimi 1. Ulusal Sempozyumu, May 2003, Ankara.
  • Anastasi, A. (1982). Psychological testing. Mcmillan Publishing Co.
  • Ary, D., Jacobs, L.C., & Razavieh, A. (2002). Introduction to research in education. Wadsworth/Thomson Learning.
  • Anderson, L. & Çıkrıkçı, N. (1991). Tutumların ölçülmesi [Measuring attitudes]. Ankara University Journal of Faculty of Educational Sciences (JFES), 24(1), 241-250. https://doi.org/10.1501/Egifak_0000000734
  • Baltacı, Ö., Akbulut, Ö. F., & Zafer, R. (2020). Problematic Internet use in the COVID-19 pandemic: A qualitative study. Kırşehir Ahi Evran University Journal of Health Sciences, 1(3), 126-140. Retrieved from https://dergipark.org.tr/tr/pub/ahievransaglik/issue/64424/979283
  • Bozkurt, A. (2017). The past, present and future of the distance education in Turkey. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 3(2), 85-124. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/34117/378446
  • Bozkurt, A. (2020). Koronavirüs (COVID-19) pandemi süreci ve pandemi sonrası dünyada eğitime yönelik değerlendirmeler: Yeni normal ve yeni eğitim paradigması [The coronavirus (COVID-19) pandemic process and assessments on education in the post-pandemic world: New normal and new education paradigm]. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 6(3), 112-142. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/56247/773769
  • Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to Corona Virus pandemic. Asian Journal of Distance Education, 15(1), i-vi. https://doi.org/10.5281/zenodo.3778083
  • Büyüköztürk, Ş. (2007). Sosyal bilimler için veri analizi el kitabı [Data analysis handbook for social sciences]. Pegem Akademi Yayıncılık.
  • Büyüköztürk, Ş. (2018). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni SPSS uygulamaları ve yorum [Data analysis handbook for social sciences: Statistics, research design, SPSS applications and interpretation]. Pegem Akademi Yayıncılık.
  • Büyüköztürk, Y. D. D. Ş. (2002). Factor analysis: Basic concepts and using to development scale. Educational Administration: Theory and Practice, 32(32), 470-483. Retrieved from https://dergipark.org.tr/tr/pub/kuey/issue/10365/126871
  • Cattell, R. B. (1996) The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276. http://dx.doi.org/10.1207/s15327906mbr0102_10
  • Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik [Multivariate statistics for social sciences]. Pegem Akademi Yayıncılık.
  • Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10, 1-9. https://doi.org/10.7275/jyj1-4868
  • Devran, Y., & Elitaş, T. (2016). Distance education: Opportunities and threats. AJIT-e: Online Academic Journal of Information Technology, 8(27), 27-31. https://doi.org/10.5824/1309-1581.2017.2.003.x
  • Field, A. (2005). Discovering statistics Using SPSS (2nd ed.). Sage Publications.
  • Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modeling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53-60. Retrieved from https://academic-publishing.org/index.php/ejbrm/article/view/1224/1187
  • Hoyle, R. H. (1995). Structural equation modeling. Sage Publications.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. https://doi.org/10.1080/10705519909540118
  • Kavuk, E., & Demirtaş, D. D. H. (2021). Difficulties Experienced by Teachers in the Distance Education During COVID-19 Pandemic. E-International Journal of Pedandragogy, 1, 55-73. https://trdoi.org/10.27579808/e-ijpa.20
  • Kaya, Z. (2002). Uzaktan eğitim [Distance education]. Pegem Akademi Yayıncılık.
  • Kline, P. (1994). An easy guide to factor analysis. Routledge
  • Kürtüncü, M., & Kurt, A. (2020). Problems of nursing students in distance education in the COVID-19 pandemia period. Eurasian Journal of Social and Economic Research (EJSER), 7(5), 66-77. https://dergipark.org.tr/tr/download/article-file/1128112
  • Özbay, Ö. (2015). The current status of distance education in the World and Turkey. The Journal of International Educational Sciences, 2(5), 376-376. https://dergipark.org.tr/tr/pub/inesj/issue/40015/475774
  • Pallant, J. (2020). SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS. Routledge.
  • Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2nd ed.). Routledge.
  • Scherer, R. F., Wiebe, F. A., Luther, D. C., & Adams, J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports, 62(3), 763-770. https://doi.org/10.2466/pr0.1988.62.3.763
  • Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Lawrence Erlbaum.
  • Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42, 893-898. https://doi.org/10.1016/j.paid.2006.09.017
  • Stevens, J. (2002). Applied multivariate statistics for the social sciences (4th Ed.). Lawrence Erlbaum.
  • Tabachnick, B. G., & Fidell, L. S. (2005). Using multivariate statistics (4th ed.). Allyn & Bacon.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Allyn & Bacon.
  • Yılmaz, V., & Celik, H. E. (2009). LİSREL ile yapısal eşitlik modellemesi 1 [Structural equation modeling with LISREL 1]. Pegem Akademi Yayıncılık.
  • Zan, N., Zan, B. U. (2020). Education in emergency at coronavirus: Overview of faculty of letters students included to distance education system from different regions of Turkey. Turkish Studies, 15(4), 1367-1394. https://dx.doi.org/10.7827/TurkishStudies.44365
There are 34 citations in total.

Details

Primary Language English
Subjects Educational Technology and Computing
Journal Section Makaleler
Authors

Mahmut Ali Şahin 0000-0003-4400-4647

Zeynel Abidin Mısırlı 0000-0002-9504-4836

Publication Date October 20, 2023
Submission Date September 3, 2023
Published in Issue Year 2023

Cite

APA Şahin, M. A., & Mısırlı, Z. A. (2023). Primary Mathematics and Turkish Teachers’ Views on Distance Education: A Scale Development Study. Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education, 17(Özel Sayı), 646-665. https://doi.org/10.17522/balikesirnef.1354562