Google Classroom Uygulamasının Benimsenme Düzeyinin Belirlenmesi: Covid-19 Sürecinde Yozgat Bozok Üniversitesi (YOBÜ) Örneği

Yıl 2021, Cilt: 4 Sayı: 3, 279 - 291, 20.12.2021

Zuhal Akgün Pınar Hacıhasanoğlu Sena Saydam

https://doi.org/10.32329/uad.902325

Cited By: 1

Öz

Bu çalışmada, dijitalleşme çağının her alanda etkinliğinin arttığı günümüzde, giderek önemli hale gelendijital uygulamalardanbirisi olan Google Classroom incelenmektedir. Özellikle eğitim, toplantı, konferans gibi çeşitli etkinliklerin dijitale taşınmasında etkin rol oynayan bu teknolojinin kullanıcıları tarafından benimsenme düzeyi önem kazanmaktadır. Araştırmada, pandemi nedeniyle uzaktan eğitim zorunluluğunun doğal sonuçlarından biri olarak kullanılmaya başlanan Google Classroom’ayönelik Yozgat Bozok Üniversitesi öğrencileri ve öğretim elemanlarının algıları belirlenmeye çalışılmaktadır. Bu amaçla geliştirilen ve Teknoloji Kabul Modeli çerçevesinde hazırlanan online anketlerden elde edilen veriler, istatistiki olarak analiz edilmiştir. Öğrenciler ve öğretim elemanlarından oluşan örneklem grupları ayrı ayrı değerlendirilmiştir. Yapılan analiz sonuçlarına göre model bünyesinde araştırılan tüm hipotezler kabul edilmiştir. Teknoloji Kabul Modeli değişkenleri yanında algılanan haz faktörünün, Google Classroom kullanımında etkisinin anlamlı ve pozitif olduğu belirlenmiştir

Anahtar Kelimeler

DİJİTALLEŞME, GOOGLE CLASSROOM, UZAKTAN EĞİTİM, TEKNOLOJİ KABUL MODELİ

Determining the Adoption Level of Google Classroom Application: Sample of Yozgat Bozok University (YOBU) During Covid-19

Öz

In this study, the adoption level of Google Classroom, which is an important digital application, is investigated in today’s world, where the effectiveness of digitalization is increasing in every field. The level of adoption by the users of this technology, which plays an active role in transferring various activities such as education, meeting and conferences to digital, becomes important. In the research, it is tried to determine the perceptions of Yozgat Bozok University students and lecturers towards Google Classroom, which has started to be used as one of the natural consequences of the necessity of distance education due to the pandemic. In the research, quantitative research method and online survey technique was used as data collection tool. The data obtained from the online surveys developed for this purpose and prepared within the framework of the Technology Acceptance Model were analyzed statistically by SPSS 20.0. Regression analysis was conducted to reveal the effects of independent variables in the model on dependent variables. The sample groups consisting of students and academic staff were evaluated separately. According to the analysis results, all hypotheses investigated within the model were accepted. In addition to Technology Acceptance Model variables, the effect of perceived pleasure factor on Google Classroom activity was found to be significant and positive. It has been determined among the results that features of Google Classroom such as accessibility, effective feedback and user-friendly interface significantly and positively affect perceived ease of use and pleasure. In addition, it was observed that perceived ease of use in the student sample and perceived pleasure variables in the sample of academic staff were the strongest variables affecting perceived usefulness. It is recommended to measure the adoption level of digital technologies in different areas and to conduct studies on the differences in evaluation in terms of various demographic factors.

Anahtar Kelimeler

Digitalization, Google Classroom, Technology Acceptance Model, Distance Education

Kaynakça

• Akyürek, M. İ. (2020). Uzaktan eğitim: bir alanyazın taraması, Medeniyet Eğitim Araştırmaları Dergisi, 4 (1), 1-9. Erişim adresi: https://dergipark.org.tr/en/download/article-file/1029473
• Al-Aulamie, A., Mansour, A., Daly, H. & Adjei, O. (2012). The effect of intrinsic motivation on learners’ behavioral intention to use e-learning systems, In International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, 1-4. doi: 10.1109 / ITHET.2012.6246057
• Alharbi, S. &Drew, S. (2014). Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems, (IJACSA) International Journal of Advanced Computer Science and Applications, 5(1), 143-155. doi: 10.14569 / IJACSA.2014.050120
• Al-Maroof, R. A. S. &Al-Emran, M. (2018). Students acceptance of google classroom: an exploratory study using pls-sem approach, International Journal of Emerging Technologies in Learning (iJET), 13(6), 112-123. doi.org/10.3991/ijet.v13i06.8275
• Arat, T. & Bakan, Ö. (2011). Uzaktan eğitim ve uygulamaları, Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu Dergisi, 14 (1-2), 363-374. Erişim adresi: https://dergipark.org.tr/en/download/article-file/116745
• Azhar, K. A. & Iqbal, N. (2018). Effectiveness of google classroom: teachers’ perceptıons, Prızren Socıal Scıence Journal, 2(2), 52-66.Retrieved from:https://www.researchgate.net/publication/327417783_Effectiveness_of_Google_Classroom_Teachers'_Perceptions/link/5b91fe96a6fdccfd541f8ea1/download
• Balog, A. & Pribeanu, C. (2010). The role of perceived enjoyment in the students’ acceptance of an augmented reality teaching platform: a structural equation modelling approach, Studies in Informatics and Control, 19(3), 319- 330. doi: 10.24846 / v19i3y201011
• Bhat,S., Raju, R., Bikramjit,A. & D'souza, R. (2018). Leveraging e-learning through google classroom: a usability study, Journal of Engineering Education Transformations, 31(3), 129-135. doi: 10.16920 / jeet / 2018 / v31i3 / 120781
• Bruner II, G. C. & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices, Journal of Business Research, 58(5), 553-558. doi: https://doi.org/10.1016/j.jbusres.2003.08.002
• Chang, S., Chou, C. & Yang, J. (2010). The literature review of technology acceptance model: A study of the bibliometric distributions, PACIS 2010 Proceedings, 1634-1640. Retrieved from: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1156vecontext=pacis2010
• Chen, Y. C., Lin, Y. C., Yeh, R. C.& Lou, S. J. (2013). Examining factors affecting college students’ intention to use web-based instruction systems: Towards an integrated model, Turkish Online Journal of Educational Technology, 12(2), 111–121. doi: https://doi.org/10.14456/hasss.2020.10
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319–340. doi: https://doi.org/10.2307/249008
• Dykes, A. (2020), What Is Google Classroom. Retrieved from: https://www.webopedia.com/definitions/google-classroom/#what-is-google-classroom
• Fitriningtiyas, D. A., Umamah, N. & Sumardi (2019). Google classroom: as a media of learning history, IOP Conference Series Earth and Environmental Science, 243(1), 1-8.doi:10.1088/1755-1315/243/1/012156
• Garda, B. & Temizel, M. (2016). Bilgi çağında eğitim, Selçuk Üniversitesi Sosyal ve Teknik Araştırmalar Dergisi, 12, 23-43. Erişim adresi: http://sosyoteknik.selcuk.edu.tr/sustad/article/view/85/67
• Gupta, Adit &Pathania, P. (2021). To study the impact of Google Classroom as.a platform of learning and collaboration at the teacher education level, Education and Information Technologies, 26, 843–857. doi:https://doi.org/10.1007/s10639-020-10294-1
• Heggart, K. R.,& Yoo, J. (2018). Getting the most from google classroom: a pedagogical framework for tertiary educators. Australian Journal of Teacher Education, 43(3), 140-153.doi: 10.14221/ajte.2018v43n3.9
• Hong, S. H.,& Yu, J. H. (2018). Identification of External Variables for the Technology Acceptance Model (TAM) In The Assessment of BIM Application For Mobile Devices. 2nd International Conference on Architecture and Civil Engineering (ICACE), IOP Publishing, 401(1), 1-5.doi:10.1088/1757-899X/401/1/012027
• Internet World Stats, (2021).Usage and Population Statistics. Retrieved from: https://www.internetworldstats.com/stats.htm
• İşman, A. (2011). Uzaktan Eğitim, Geliştirilmiş 4. Baskı, Pegem Akademi.
• Korucu, A. T. & Biçer, H. (2019). Mobil öğrenme: 2010-2017 çalışmalarına yönelik bir içerik analizi, Trakya Eğitim Dergisi, 9 (1), 32-43. doi:https://doi.org/10.24315/tred.516911
• Lee, M., Cheung, C. &Chen, Z. (2005). Acceptance of internet-based learning medium: the role of extrinsic and intrinsic motivation, Information ve Management, 42(8), 1095–1104. doi: 10.1016 / j.im.2003.10.007
• Limayem, M, Hirt, S. G. &Chin, W. G. (2001). Intention does not always matter: the contingency role of habit on IT usage behavior, Global Co-Operation in the New Millennium 9th European conference on information systems (ECIS 2001), 274-286. Retrieved from: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1070vecontext=ecis2001
• Mubuke, F., Ogenmungu , C., Mayoka. K, G., Masaba, A. K. & Andrew, W. (2017). The predictability of perceived enjoyment and ıts ımpact on the intention to use mobile learning systems, Asian Journal of Computer Science And Information Technology, 7(1), 1-5. doi:http://dx.doi.org/10.15520 /ajcsit.v6i8.51
• Pappas, C. (2015), Google classroom review: pros and cons of using google classroom in elearning.Retrieved from: https://elearningindustry.com/google-classroom-review-pros-and-cons-of-using-google-classroom-in-elearning
• Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral ıntention to use e-learning, Educational Technology ve Society, 12(3), 150–162. Retrieved from: https://www.jstor.org/stable/10.2307/jeductechsoci.12.3.150
• Sarıtaş, E. & Barutçu, S. (2020). Öğretimde dijital dönüşüm ve öğrencilerin çevrimiçi öğrenmeye hazır bulunuşluluğu: pandemi döneminde pamukkale üniversitesi öğrencileri üzerinde bir araştırma, IUYD, 11 (1), 5-22. doi: https://doi.org/10.34231/iuyd.706397
• Shaharanee, I. N. M., Jamil, J. M. & Mohamad Rodzi, S. S. (2016). Google classroom as a tool for active learning, AIP Conference Proceedings 1761, 020069, 1-6. doi: https://doi.org/10.1063/1.4960909
• Shaharanee, I. N. M., Jamil, J. M. & Mohamad Rodzi, S. S. (2016). The application of Google Classroom as a tool for teaching and learning, Journal of Telecommunication, Electronic and Computer Engineering, 8(10), 5-8.Retrieved from: https://journal.utem.edu.my/index.php/jtec/article/view/1357/882
• Simonson, M., Schlosser, C., & Orellana, A. (2011). Distance education research: A review of the literature. Journal of Computing in Higher Education, 23(2), 124-142. doi: https://doi.org/10.1007/s12528-011-9045-8
• Sudarsana, I. K.,Putra, I. B. M. A., Astawa, I. N. T. & Yogantara, I. W. L.(2019). The use of Google classroom in the learning process, Journal of Physics: Conference Series. IOP Publishing,1175(1). doi: doi:10.1088/1742-6596/1175/1/012165
• Suki, N.M. & Suki, N.M. (2011). Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers' intention towards using 3G mobile services, Journal of Information Technology Management, XXII(1), 1-7. Retrieved from: http://jitm.ubalt.edu/XXII-1/article1.pdf
• Tabata, L. N.,& Johnsrud, L. K. (2008). The impact of faculty attitudes toward technology, distance education, and innovation. Research in higher education, 49(7), 625-646. Doi: 10.1007/s11162-008-9094-7
• Taşkıran, A. (2017). Dijital çağda yükseköğretim, Açık Öğretim Uygulamaları ve Araştırmaları Dergisi, 3(1), 96-109. Erişim adresi: https://dergipark.org.tr/en/download/article-file/402573
• Tekin Poyraz, G. & Özkul, A.E. (2019). Bir öğrenme ortamı olarak google sınıf’ın incelenmesi, Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 5 (3), 8-27. Erişim adresi: https://dergipark.org.tr/en/download/article-file/853587
• Telli, S. G. &Altun, D. (2020). Coronavirüs ve çevrimiçi (online) eğitimin önlenemeyen yükselişi, Üniversite Araştırmaları Dergisi, 3 (1), 25-34. doi: https://doi.org/10.32329/uad.711110
• Uyar, A. (2019). Tüketicilerin mobil uygulamalara ilişkin algılarının teknoloji kabul modeli ile değerlendirilmesi, İşletme Araştırmaları Dergisi, 11(1), 687-705. doi: 10.20491/isarder.2019.629
• Ünlü, M. (2019). Dijital çağda e-öğrenme ortamlarının kalitesini artırmaya yönelik gerçekleştirilen uluslararası çalışmalar, Ufuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8 (16), 165-182. Erişim adresi: https://dergipark.org.tr/en/download/article-file/1476301
• Wu, J. H. & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model, Information ve management, 42(5), 719-729. doi: https://doi.org/10.1016/j.im.2004.07.001
• Yang S. Y. , Fang H.C. , Chuang, C. & Li, H. A. (2011). Applying the technology acceptance model to investigate consumers’ acceptance of digital learning system, Energy Procedia, 13, 3166-3173. doi: 10.1016 / j.egypro.2011.11.459