Examination of the relationship between the attitudes of teacher candidates towards technology and their opinions of distance education

Year 2022, , 890 - 900, 10.12.2022

Raziye Sancar

https://doi.org/10.31681/jetol.1157339

Cited By: 1

Abstract

The study aims to determine possible relationships between the opinions of teacher candidates regarding distance education, and their attitudes toward the technology used in distance education courses. A quantitative research approach structured in a descriptive and relational survey model was used in the research. 81 teacher candidates studying in three different departments participated in the study. Non-parametric statistics were used to analyze the data, and Descriptive statistics, Kruskal-Wallis and Spearman-Brown correlation analysis were employed. The results revealed that there is a positive and moderately significant relationship between the attitudes of pre-service teachers towards technology and their opinions of the distance education process. It has also been determined that there is a positive and moderate relationship between the opinions of teacher candidates in regard to the sub-dimensions of the scale of the distance education process evaluation (levels of accessibility, usability, attitude, technological facilities, and self-efficacy) and their attitudes towards technology. These findings implicate that educators teaching online learners should consider the characteristics of their learners and make decisions regarding the teaching and learning process to create the optimal learning environment.

Keywords

Distance education, Teacher candidates, Learning management system

References

• Aydın, F., & Kara, F. N. (2013). Öğretmen adaylarının teknolojiye yönelik tutumları: ölçek geliştirme çalışması. Journal of Turkish Science Education, 10(4), 103-118. https://www.tused.org/index.php/tused/article/view/397
• Baber, H. (2021). Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea. The International Journal of Management Education, 19(2), 100503. https://doi.org/10.1016/j.ijme.2021.100503
• Bozkurt, A., & Sharma, R. C. (2021). On the verge of a new renaissance: Care and empathy oriented, human-centered pandemic pedagogy. Asian Journal of Distance Education, 16(1), i-vii. http://asianjde.com/ojs/index.php/AsianJDE/article/view/576
• Chou, H. L., & Chou, C. (2021). A multigroup analysis of factors underlying teachers’ technostress and their continuance intention toward online teaching. Computers & Education, 175, 104335. https://doi.org/10.1016/j.compedu.2021.104335
• Creswell, J. W. (2004). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research. New York: Pearson.
• Firat, M., & Bozkurt, A. (2020). Variables affecting online learning readiness in an open and distance learning university. Educational Media International, 57(2), 112-127. https://doi.org/10.1080/09523987.2020.1786772
• Fiş Erümit, S. (2021). The distance education process in K–12 schools during the pandemic period: evaluation of implementations in Turkey from the student perspective. Technology, Pedagogy and Education, 30(1), 75-94. https://doi.org/10.1080/1475939X.2020.1856178
• Gökçe, S., Önal, N., & Çalışkan, E. (2021). Uzaktan eğitim sürecini değerlendirmeye yönelik ölçek geliştirme çalışması. Başkent University Journal of Education, 8(2), 441-451. http://buje.baskent.edu.tr/index.php/buje/article/view/430
• Inman, E., Kerwin, M., & Mayes, L. (1999). Instructor and student attitudes toward distance learning. Community College Journal of Research & Practice, 23(6), 581-591. https://doi.org/10.1080/106689299264594
• Ismaili, Y. (2021). Evaluation of students’ attitude toward distance learning during the pandemic (Covid-19): a case study of ELTE university. On the Horizon. https://doi.org/ 10.1108/OTH-09-2020-0032
• Kan, A. Ü., & Özmen, E. (2021). Metaphoric perceptions of pre-servıce teacher on distance education during the Covıd-19 pandemıc. Journal Of History School (Johs), 14(LI), 1085-1118. http://dx.doi.org/10.29228/Joh.48942
• Keeton, M. T. (2004). Best online instructional practices: Report of phase I of an ongoing study. Journal of Asynchronous Learning Networks, 8(2), 75-100.
• Keskin, S., & Yurdugül, H. (2022). E-learning experience: Modeling students’ e-learning interactions using log data. Journal of Educational Technology and Online Learning, 5(1), 1-13. https://doi.org/10.31681/jetol.938363
• Author, 2022.
• Kuzu Demir, E. B., Özbek, A. B., & Demir, K. (2022). Exploring Turkish special education teachers’ experiences of emergency remote teaching during the COVID-19 pandemic. Journal of Educational Technology and Online Learning, 5(2), 316-335. https://doi.org/10.31681/jetol.1076853
• Li, L. Y., & Lee, L. Y. (2016). Computer literacy and online learning attitude toward GSOE students in distance education programs. Higher Education Studies, 6(3), 147-156. http://dx.doi.org/10.5539/hes.v6n3p147
• Liaw, S. S. (2007). Computers and the Internet as a job assisted tool: based on the three-tier use model approach. Computers in Human Behavior, 23(1), 399-414. https://doi.org/10.1016/j.chb.2004.10.018
• Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066-1080. https://doi.org/10.1016/j.compedu.2006.01.001
• Masrom, M. (2007). Technology acceptance model and e-learning. Technology, 21(24), 81. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.554.6982&rep=rep1&type=pdf
• McFarland, J., Hussar, B., Zhang, J., Wang, X., Wang, K., Hein, S., ... & Barmer, A. (2019). The Condition of Education 2019. NCES 2019-144. National Center for Education Statistics.
• Miller, A., Topper, A. M., & Richardson, S. (2017). Suggestions for improving IPEDS distance education data collection. NPEC, US Department of Education: Washington, DC, USA.
• Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, G. K. (2021). Students’ perception and preference for online education in India during COVID-19 pandemic. Social Sciences & Humanities Open, 3(1), 100101. https://doi.org/10.1016/j.ssaho.2020.100101
• Öngören, S. (2022). Prospective pre-school teachers’ distance education perspectives. Journal of Learning and Teaching in Digital Age, 7(2), 283-296. https://doi.org/10.53850/joltida.1074042
• Prior, D. D., Mazanov, J., Meacheam, D., Heaslip, G., & Hanson, J. (2016). Attitude, digital literacy and self-efficacy: Flow-on effects for online learning behavior. Internet and Higher Education, 29, 91–97. https://doi.org/10.1016/j.iheduc.2016.01.001
• Quansah, R., & Essiam, C. (2021). The use of learning management system (LMS) moodle in the midst of covid-19 pandemic: Students’ perspective. Journal of Educational Technology and Online Learning, 4(3), 418-431. https://doi.org/10.31681/jetol.934730
• Sarıbaş, M., & Meydan, A. (2020). Coğrafya bölümü öğrencilerinin çevrimiçi öğrenmeye karşı tutumları. Türk Coğrafya Dergisi, (76), 95-106. https://doi.org/10.17211/tcd.811297
• Shearer, R. L., Aldemir, T., Hitchcock, J., Resig, J., Driver, J., & Kohler, M. (2020). What students want: A vision of a future online learning experience grounded in distance education theory. American Journal of Distance Education, 34(1), 36-52. https://doi.org/10.1080/08923647.2019.1706019
• Simonson, M., Zvacek, S. M., & Smaldino, S. (2019). Teaching and learning at a distance: Foundations of distance education (7th ed.). IAP Publishing.
• Singh, V., & Thurman, A. (2019). How many ways can we define online learning? A systematic literature review of definitions of online learning (1988-2018). American Journal of Distance Education, 33(4), 289-306. https://doi.org/10.1080/08923647.2019.1663082
• Şahin, M., Keskin, S., Özgür, A., & Yurdugül, H. (2017). E-öğrenme ortamlarında öğrenen özelliklerine dayalı etkileşim profillerinin belirlenmesi. Eğitim Teknolojisi Kuram ve Uygulama, 7(2), 172-192. https://doi.org/10.17943/etku.297075
• Xiao, J. (2021). Decoding new normal in education for the post-COVID-19 world: Beyond the digital solution. Asian Journal of Distance Education, 16(1), 141-155. http://www.asianjde.com/ojs/index.php/AsianJDE/article/view/558
• Triandis, H. C. (1971). Attitude and attitude change. New York: Wiley.
• Usta, İ., Uysal, Ö., & Okur, M. R. (2016). Çevrimiçi öğrenme tutum ölçeği: geliştirilmesi, geçerliği ve güvenirliği. Journal of International Social Research, 9(43). 2215-2222. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=2316c437-a714-4488-9ffe-1d79a239e191%40redis