COVID-19 Pandemisi’nin Yükseköğretimdeki İz Düşümleri

Year 2022, Volume: 35 Issue: 3, 492 - 515, 22.12.2022

Pınar Ayyıldız , Adem Yılmaz

https://doi.org/10.19171/uefad.1080619

Cited By: 1

Abstract

Bu araştırmada COVID-19 salgınının yükseköğretime etkileri ve yansımaları incelenmiştir. Araştırmaya, uygun örnekleme yöntemi ile belirlenen 1166 kişi (farklı bölümlerde öğrenim gören üniversite öğrencileri) katılmıştır. Araştırma sürecinde nicel araştırma desenlerinden biri olan tarama yöntemi kullanılmıştır. Veri toplama aracı olarak araştırmacılar tarafından 5 faktörlü ve 45 sorudan oluşan Likert tipi bir ölçek kullanılmıştır. Araştırma verileri IBM SPSS 24.0 ve IBM AMOS 24.0 kullanılarak analiz edilmiştir. Araştırma verilerinin analizinde betimsel ve çıkarımsal istatistikler kullanılmıştır. Çıkarımsal istatistik analizinde bağımsız örnekler T Testi, tek yönlü ANOVA testi ve korelasyon testi yapılmıştır. Ölçeğin yapı geçerliği için doğrulayıcı faktör analizi yapılmıştır. Ölçek boyutlarının aracılık etkisi, HAYES'in 6 numaralı modeli kullanılarak seri çoklu aracılık etkisi analizi ile test edilmiştir. Araştırma sonucunda üniversite öğrencilerinin görüşleri cinsiyet, sınıf düzeyi ve bölüm değişkenlerine göre anlamlı farklılık göstermiştir. Üniversite öğrencilerinin en yüksek tutum eğilimi COVID-19 aşısı ve eğitim süreci boyutunda, en düşük eğilimleri ise uzaktan eğitim boyutunda olduğu belirlenmiştir. Üniversite öğrencilerinin uzaktan eğitime yönelik tutumlarını öğretim üyelerinin faaliyetleri, teknik alt yapı, ölçme değerlendirme sistemi, Covid-19 aşısı ve eğitim süreci dolaylı olarak etkilemekte ve aracılık etkisi göstermektedir.

Keywords

COVID-19 salgını, Yükseköğretimin yansımaları, Seri çoklu aracılık etkisi, Uzaktan eğitime yönelik tutum

Footprints of the COVID-19 Pandemic on Higher Education

Abstract

This research examined the effects and reflections of the COVID-19 Pandemic in Higher Education were examined. Participants were 1166 university students studying in different departments were determined using convenient sampling method. The survey method, which is one of the quantitative research approaches, was used in the research process. As the data collection tool, a Likert-type scale with 5 factors and 45 questions was employed by the researchers. Research data were analyzed using IBM SPSS 24.0 and IBM AMOS 24.0. Descriptive and inferential statistical techniques were used in the analysis of the research data. Independent samples t-test, one-way ANOVA test, and correlation test were performed in inferential statistical analysis. Confirmatory factor analysis was carried out for the construct validity of the scale. The mediation effect for scale dimensions was tested with serial multiple mediation effect analysis using HAYES's model number 6. As a result of the research, the opinions of university students showed a significant difference apropos of gender, grade level, and department variables. The highest attitude tendency was in the CVEP (COVID-19 Vaccine and Education Process) dimension and the lowest in the ATDE (Attitude towards Distance Education) dimension. The attitudes of university students toward distance education indirectly affect the mediating impact of the variables viz. faculty members' activities, technical infrastructure as well as the variables of the measurement and evaluation system, the Covid-19 vaccine and the process.

Keywords

COVID-19 pandemic, Reflections on higher education, Serial multiple mediation effect, Attitude towards distance education

References

• Abu Talib, M., Bettayeb, A. M., & Omer, R. I. (2021). Analytical study on the impact of technology in higher education during the age of COVID-19: Systematic literature review. Education and Information Technologies, 26, 6719-6746. https://doi.org/10.1007/s10639-021-10507-1
• Aschwanden, D., Strickhouser, J. E., Sesker, A. A., Lee, J. H., Luchetti, M., Stephan, Y., Sutin, A. R., & Terracciano, A. (2021). Psychological and behavioural responses to Coronavirus disease 2019: The role of personality. European Journal of Personality, 35(1), 51–66. https://doi.org/10.1002/per.2281
• Ashri, D., & Sahoo, B. P. (2021). Open book examination and higher education during COVID-19: Case of University of Delhi. Journal of Educational Technology Systems, 50(1), 73–86. https://doi.org/10.1177/0047239521013783
• Atasoy, R., Özden, C., & Kara, D. N. (2020). Covid-19 pandemi sürecinde yapılan e-ders uygulamalarının etkililiğinin öğrencilerin perspektifinden değerlendirilmesi. Turkish Studies, 15(6), 95-122. https://dx.doi.org/10.7827/TurkishStudies.44491
• Ayyıldız, P., & Yılmaz, A. (2021). Putting things in perspective: The COVID-19 pandemic period, distance education and beyond. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 9(6), 1631-1650. https://dx.doi.org/10.18506/anemon.946037
• Baki̇oglu, B., & Çevi̇k, M. (2020). Science teachers' views on distance education in the COVID-19 pandemic process. Journal of Turkish Studies, 15(4), 109–129. http://doi.org/10.7827/TurkishStudies.43502
• Bao, W. (2020). COVID-19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies, 2(2), 113–115. https://doi.org/10.1002/hbe2.191
• Bdair, I. A. (2021). Nursing students' and faculty members' perspectives about online learning during COVID-19 pandemic: A qualitative study. Teaching and Learning in Nursing, 16(3), 220-226. https://doi.org/10.1016/j.teln.2021.02.008
• Bhagat, S., & Kim, D. J. (2020). Higher education amidst COVID-19: Challenges and silver lining. Information Systems Management, 37(4), 366–371. https://doi.org/10.1080/10580530.2020.1824040
• Billah, M. A., Miah, M. M., & Khan, M. N. (2020). Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence. PLoS ONE 15(11), 1-17. https://doi.org/10.1371/journal.pone.0242128
• Boer, H. (2021). COVID-19 in Dutch higher education. Studies in Higher Education, 46(1), 96–106. https://doi.org/10.1080/03075079.2020.1859684 Brown, T. A. (2006). Confirmatory factor analysis: For applied research. Guilford.
• Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni SPSS uygulamaları ve yorum (11. Baskı). Pegem Akademi Yayıncılık.
• Chester, M. V., & Allenby, B. (2019). Toward adaptive infrastructure: Flexibility and agility in a non-stationarity age. Sustainable and Resilient Infrastructure, 4(4), 173–191. https://doi.org/10.1080/23789689.2017.1416846
• Cicha, K., Rizun, M., Rutecka, P., & Strzelecki, A. (2021). COVID-19 and higher education: First-year students' expectations toward distance learning. Sustainability, 13(4), 1-19. https://doi.org/10.3390/su13041889
• Coşkun, M., & Mardikyan, S. (2016). Predictor factors for actual usage of online evaluation and assessment systems: A structural equation model (SEM) study. Education and Science 41(188), 131-152. https://doi.org/10.15390/eb.2016.6579
• Council of Higher Education (CoHE) (2020). Coronavirus (COVID-19) information note: 1. Accessed December 11. https://covid19.yok.gov.tr/alinan-kararlar
• Creswell, J. W. (2014). Research design: Qualitative, quantitative and mixed methods approaches (4th Edition). Sage Publications, Inc.
• Croft, B., & Brown, M. (2020). Inclusive open education: Presumptions, principles, and practices. Distance Education, 41(2), 156–170. https://doi.org/10.1080/ 01587919.2020.1757410
• Daumiller, M., Rinas, R., Hein, J., Janke, S., Dickhäuser, O., & Dresel, M. (2021). Shifting from face-to-face to online teaching during COVID-19: The role of university faculty achievement goals for attitudes towards this sudden change, and their relevance for burnout/engagement and student evaluations of teaching quality. Computers in Human Behavior, 118, 1-10. https://doi.org/10.1016/j.chb.2020.106677
• Durak, G., Çankaya, S., & İzmirli, S. (2020). Examining the Turkish universities' distance education systems during the COVID-19 pandemic. Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education, 14(1), 787–809. https://doi.org/10.17522/balikesirnef.743080
• Erkut, E. (2020). Higher education after COVID-19. Journal of higher education (Turkey), 10(2), 125–133. https://doi.org/10.2399/yod.20.002
• Fish, W. W., & Gill, P. B. (2009). Perceptions of online instruction. Turkish Online Journal of Educational Technology, 8(1), 53-64. https://files.eric.ed.gov/ fulltext/ED503903.pdf
• Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2011). How to design and evaluate research in education (8th Edition). McGraw-Hill Education.
• Google News (2022). COVID-19 google news. Accessed February 28, 2021. https://news.google.com/covid19/map?hl=tr&mid=%2Fm%2F01znc_&gl=TR&ceid=TR%3Atr
• Green, C., Mynhier, L., Banfill, J., Edwards, P., Kim, J., & Desjardins, R. (2021). Preparing education for the crises of tomorrow: A framework for adaptability. International Review of Education, 66, 857-879. https://doi.org/10.1007/s11159-020-09878-3
• Hall, A. K., Nousiainen, M. T., Campisi, P., Dagnone, J. D., Frank, J. R., Kroeker, K. I., Brzezina, S., Purdy, E., & Oswald, A. (2020). Training disrupted: Practical tips for supporting competency-based medical education during the COVID-19 pandemic. Medical Teacher, 42(7), 756–761. https://doi.org/10.1080/0142159X.2020.1766669
• Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression based approach. Guilford Publications.
• Hood, N., & Littlejohn, A. (2018). Hacking history: Redressing gender inequities on Wikipedia through an editathon. The International Review of Research in Open and Distributed Learning, 19(5), 203-217. https://doi.org/10.19173/irrodl.v19i5.3549
• Jamalpur, B., Kafila, Chythanya, K. R., & Kumar, K. S. (2021). A comprehensive overview of online education – impact on engineering students during COVID-19. Materials Today: Proceedings, 1-4. https://doi.org/10.1016/j.matpr.2021.01.749
• Jones, N., Tapia, I. S., Baird, S., Guglielmi, S., Oakley, E., Yadete, W. A., Sultan, M., & Pincock, K. (2021). Intersecting barriers to adolescents' educational access during COVID-19: Exploring the role of gender, disability and poverty. International Journal of Educational Development, 85, 1-28. https://doi.org/10.1016/j.ijedudev.2021.102428
• Joreskog, K., & Sörbom, D. (1996-2001). LISREL 8 user's reference guide. Scientific Software International.
• Kahraman, M. E. (2020). The effect of COVID-19 epidemic on applied courses and the implementation of these courses by distance education: Example of basic design course. Journal of Medeniyet Art, 6(1), 44–56. https://doi.org/10.46641/medeniyetsanat.741737
• Karakuş, N., Ucuzsatar, N., Karacaoğlu, M. O., Esendemi̇r, N., & Bayraktar, D. (2020). Turkish teacher candidates’ views on distance Education. RumeliDE Journal of Language and Literature Studies, 19, 220–241. https://doi.org/10.29000/rumelide.752297
• Khalili, H. (2020). Online interprofessional education during and post the COVID-19 pandemic: A commentary. Journal of Interprofessional Care, 34(5), 687–690. https://doi.org/10.1080/13561820.2020.1792424
• Kolcu, G., Demir, S., Başer-Kolcu, M. İ. (2020). Evaluation of online measurement and evaluation applications. Suleyman Demirel University The Journal of Health Science, 11(3), 330-333. https://doi.org/10.22312/sdusbed.757416
• Kuniya, T. (2020). Prediction of the epidemic peak of Coronavirus disease in Japan 2020. Journal of Clinical Medicine, 9(3), 1-7. https://doi.org/10.3390/jcm9030789
• Kurth, J. A., Allcock, H., Walker, V., Olson, A., & Taub, D. (2021). Faculty perceptions of expertise for inclusive education for students with significant disabilities. Teacher Education and Special Education, 44(2), 117–133. https://doi.org/10.1177/0888406420921582
• Liao, Y. (2021). Prospects for the online education promoting the reform of traditional higher education under the COVID-19 situation. In Modern Industrial IoT, Big Data and Supply Chain, 351–359. Springer Singapore. https://doi.org/10.1007/978-981-33-6141-6_38
• Maina, M. F., Santos-Hermosa, G., Mancini, F., & Ortiz, L. G. (2020). Open educational practices (OEP) in the design of digital competence assessment. Distance Education, 41(2), 261–278. https://doi.org/10.1080/01587919.2020.1757407
• McMillan, J. H., & Schumacher, S. (2009). Research in education: Evidence-based inquiry (7th edt.). Pearson.
• Meleo-Erwin, Z., Kollia, B., Fera, J., Jahren, A., & Basch, C. (2021). Online support information for students with disabilities in colleges and universities during the COVID-19 pandemic. Disability and Health Journal, 14(1), 1-5. https://doi.org/10.1016/j.dhjo.2020.101013
• Menchaca, M. P., & Bekele, T. A. (2008). Learner and instructor identified success factors in distance education. Distance Education, 29(3), 231-252. https://doi.org/10.1080/01587910802395771
• Moussa, N. M., & Ali, W. F. (2021). Exploring the relationship between students' academic success and happiness levels in the higher education settings during the lockdown period of COVID-19. Psychological Reports. https://doi.org/10.1177/0033294121994568
• Okoro, C. A., Strine, T. W., McKnight-Eily, L., Verlenden, J., & Hollis, N. D. (2021). Indicators of poor mental health and stressors during the COVID-19 pandemic, by disability status: A cross-sectional analysis. Disability and Health Journal, 14(4), 1-9. https://doi.org/10.1016/j.dhjo.2021.101110
• Özer, M. (2020). The contribution of the strengthened capacity of vocational education and training system in Turkey to the fight against COVID-19. Journal of Higher Education (Turkey), 10(2), 134–140. https://doi.org/10.2399/yod.20.726951
• Rashid, S., & Yadav, S. S. (2020). Impact of COVID-19 pandemic on higher education and research. Indian Journal of Human Development, 14(2), 340–343. https://doi.org/10.1177%2F0973703020946700
• Robinson, L., Schulz, J., Wiborg, Ø, N., & Johnston, E. (2021). The COVID connection: Pandemic anxiety, COVID-19 comprehension, and digital confidence. The American Behavioral Scientist, 65(12), 1721-1746. https://doi.org/10.1177%2F00027642211003155
• Sallam, M., Dababseh, D., Eid, H., Al-Mahzoum, K., Al-Haidar, A., Taim, D., Yaseen, A., Ababneh, N. A., Bakri, F. G., &
• Mahafzah, A. (2021). High rates of COVID-19 vaccine hesitancy and its association with conspiracy Beliefs: A study in Jordan and Kuwait among other Arab countries. Vaccines, 9(1), 1-16. https://doi.org/10.3390/vaccines9010042
• Sayan, H. (2020). Assessment of faculty members' views on distance education during the COVID-19 pandemic process. AJIT-e Online Academic Journal of Information Technology, 11(42), 100–122. https://doi.org/10.5824/ajite.2020.03.004.x
• Sümer, N. (2000). Yapısal eşitlik modelleri: Temel kavramlar ve örnek uygulamalar. Türk Psikoloji Yazıları, 3(6), 49-74.
• Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th Ed.). Allyn and Bacon.
• Tuncer, M., & Tanaş, R. (2011). The evaluation of academicians' views on distance education programs (the samples of Firat and Tunceli Universities). Elementary Education Online, 10(2), 776–784. http://ilkogretim-online.org.tr
• Yıldız, E., & Seferoğlu, S. S. (2020). Examination of self-efficacy perception of distance education students about online technologies. Celal Bayar University Journal of Social Sciences, 18(1), 33–46. https://doi.org/10.18026/cbayarsos.514904
• Yueh, H. –P., Lin, W., Liu, Y. –L., Shoji, T., & Minoh, M. (2014). The development of an interaction support system for international distance education. IEEE Transactions on Learning Technologies, 7(2), 191–196. http://doi.org/10.1109/TLT.2014.2308952