Yükseköğretim Öğrencileri İçin Uzaktan Eğitim Tutum Ölçeğinin Geliştirilmesi
Yıl 2024,
, 1323 - 1348, 30.08.2024
Gürcü Erdamar
,
Gökçe Garip
,
Bilgen Kerkez
,
Yeliz Abbak
Öz
Yıllardır sürekli gelişen uzaktan eğitim, COVID-19 salgını sırasında eğitim için tek seçenek haline gelmiştir. Türkiye’de yükseköğretimde pandemi döneminde üç yarıyıl uzaktan eğitim uygulamaları yürütülmüş ve Şubat 2023'te Türkiye'yi vuran yıkıcı depremlerin ardından uzaktan eğitim bir kez daha yükseköğretim için tek eğitim aracı olmuştur. Öğrencilerin uzaktan eğitime yönelik tutumlarının değerlendirilmesi, uzaktan eğitimde karşılaştıkları sorunları tanımlamak ve öğrenme çıktılarını geliştirmek açısından önem kazanmıştır. Bu nedenle bu çalışmada Yükseköğretim Öğrencileri İçin Uzaktan Eğitim Tutum Ölçeğni geliştirmek amaçlanmıştır. Veriler, Türkiye’de devlet üniversitelerinden 875 lisans öğrencisinden toplanmıştır. Açıklayıcı Faktör Analizi (nEFA= 583), toplam varyansın %57'sini açıklayan 16 maddeden oluşan iki faktörlü bir yapı ortaya koymuştur. Ölçek ve iki faktörü için Cronbach Alpha iç tutarlılık katsayısı (.917, .914, .807) ve McDonalds Omega katsayısı (.920, .925, .811) yeterli bulunmuştur. Doğrulayıcı Faktör Analizi (nCFA= 292) model-veri uyumunu desteklemiş ve ulaşılan yapıyı doğrulamıştır. “Yükseköğretim Öğrencileri İçin Uzaktan Eğitim Tutum Ölçeğine ilişkin geçerlik güvenirlik kanıtları yeterli bulunmuştur. Ölçeğin, yükseköğretim uzaktan eğitim uygulamalarının kalitesine ve verimliliğine katkı sağlayacağı düşünülmektedir.
Kaynakça
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Development of Distance Education Attitude Scale for Higher Education Students
Yıl 2024,
, 1323 - 1348, 30.08.2024
Gürcü Erdamar
,
Gökçe Garip
,
Bilgen Kerkez
,
Yeliz Abbak
Öz
Distance education has been constantly developed for decades and became the only choice for education during the COVID-19 pandemic. In the Turkish higher education, distance education practices were carried out for three semesters during the pandemic. Once again, distance education became the only means of education for higher education after the devastating earthquakes that hit Türkiye in February 2023. Assessing the students’ attitudes towards distance education gained importance in order to enhance the learning outcomes of distance education and to define the problems the students had faced. Thus, the researchers aimed to develop a Distance Education Attitude Scale for Higher Education Students in this study. The data were collected from 875 undergraduate students from Turkish state universities. Explanatory Factor Analysis (nEFA= 583) unfolded a two-factor structure with 16 items – explaining 57% of the total variance. For the scale and its two factors, the Cronbach Alpha internal consistency coefficient (.917, .914, .807) and McDonalds Omega coefficient (.920, .925, .811) were found satisfactory. Confirmatory Factor Analysis (nCFA= 292) supported the model-data fit and confirmed the reached structure. The "Distance Education Attitude Scale for Higher Education Students" is found to be valid and reliable. The scale is believed to contribute to the quality and efficiency of tertiary distance education practices.
Kaynakça
- Açık Öğretim Uygulamaları ve Araştırmaları Dergisi, 6(2), 11-53. Retrieved from https://dergipark.org.tr/tr/pub/auad/issue/55662/761354 Access Date: 02.06.2021
- Adnan, M., & Anwar, K. (2020). Online learning amid the COVID-19 pandemic: Students’ perspectives. Journal of Pedagogical Sociology and Psychology, 2(1), 2–8. https://doi.org/10.33902/JPSP. 2020261309
- Ağır, F., Gür, H., & Okçu, A. (2007). Uzaktan eğitime karşı tutum ölçeği geliştirmesine yönelik geçerlik ve güvenirlik çalışması [Development of the attitude scale toward distance learning: Reliability and validity]. E-Journal of New World Sciences Academy, 3(2), 69–73. Retrieved from https://dergipark.org.tr/tr/download/article-file/185997
- Alkan, C. (1998). Eğitim teknolojisi ve uzaktan eğitimin kavramsal boyutları [The conceptual dimensions of educational technology and distance education]. Ankara Üniversitesi Eğitim Fakültesi Yayınları. Retrieved from https://dergipark.org.tr/tr/pub/dpusbe/issue/4781/65913 Access Date: 20.04.2021
- Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on converge, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 2(2), 155–173. Retrieved from https://link.springer.com/article/10.1007/BF02294170 Access Date: 25.04.2021
- Angelova, M. (2020). Students’ attitudes to the online university course of management in the context of COVID-19. International Journal of Technology in Education and Science (IJTES), 4(4), 283-292. https://doi.org/10.46328/ijtes.v4i4.111
- Arrindell, W. A., & Van Der Ende, J. (1985). An empirical test of the utility of the observations-to-variables ratio in factor and components analysis. Applied Psychological Measurement, 9(2), 165–178. https://doi.org/10.1177/014662168500900205
- Arslan, R., Bircan, H., & Eleroğlu, H. (2019). Uzaktan eğitime yönelik tutum ölçeğinin geliştirilmesi: Cumhuriyet Üniversitesi Örneği [Development of attitude toward distance education scale: Cumhuriyet University example]. S.C.Ü.İktisadi ve İdari Bilimler Dergisi, 20(2), 1–19. Retrieved from http://esjournal.cumhuriyet.edu.tr/tr/download/article-file/867032
- Bakhmat, L., Babakina, O., & Belmaz, Y. (2021). Assessing online education during the COVID-19 pandemic: A survey of lecturers in Ukraine. Journal of Physics: Conference Series, 1840(1). https://doi.org/10.1088/1742-6596/1840/1/012050
- Basaran, B., & Yalman, M. (2020). Examining university students’ attitudes towards using web-conferencing systems in distance learning courses: A study on scale development and application. Knowledge Management & E-Learning, 12(2), 209–230. https://doi.org/10.34105/j.kmel.2020.12.011
- Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238
- Bergdahl, N., & Nouri, J. (2021). Covid-19 and crisis-prompted distance education in Sweden. Technology, Knowledge, and Learning, 26(3), 443–459. https://doi.org/10.1007/s10758-020-09470-6
- Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258. https://doi.org/10.1177/0049124192021002005
- Büyüköztürk, Ş. (2013). Sosyal bilimler için veri analizi el kitabı [Manual of data analysis for social sciences] (18th ed.). Pegem.
- Can, E. (2020). Coronavirüs (Covid-19) pandemisi ve pedagojik yansımaları: Türkiye’de açık ve uzaktan eğitim uygulamaları [Coronavirus (Covid-19) pandemic and its pedagogical reflections: Open and distance education practices in Turkey].
- Çelik, B., & Uzunboylu, H. (2022). Developing an attitude scale towards distance learning. Behaviour and Information Technology, 41(4), 731–739. https://doi.org/10.1080/0144929X.2020.1832576
- Çokluk, O., Şekercioglu, G., & Büyüköztürk, S. (2010). Sosyal bilimler için çok değişkenli istatistik SPSS ve L1SREL uygulamalar 1. Pegem.
- Creswell, W. J., & Creswell, J. D. (2018). Research design: Qualitative, quantitative and mixed methods approaches (5th ed.). California, Sage.
- Demir, E. (2014). Uzaktan eğitime genel bir bakış [An overview of distance education]. Dumlupinar University Journal of Social Science, (39), 203-202. Retrieved from https://dergipark.org.tr/tr/pub/dpusbe/issue/4781/65913 Access Date: 05.06.2021.
- Demirel, S. (2022). Developing students’ attitude scale for the online education. International Journal of Modern Education Studies, 6(2), 448–469. https://doi.org/10.51383/ijonmes.2022.239
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