DETERMINATION OF THE SATISFACTION LEVELS OF PROSPECTIVE TEACHERS REGARDING THE E-LEARNING APPLICATION DURING THE CORONAVIRUS PANDEMIC
DOI:
https://doi.org/10.46827/ejes.v8i3.3623Keywords:
distance education, teacher candidates, university students, satisfactionAbstract
Due to the effects of the Covid-19 pandemic, schools and universities around the world had to interrupt their education and switched to online education. In this study, it is aimed to determine the satisfaction levels of prospective teachers who have to take their courses with web-based distance education due to the pandemic towards e-learning. The satisfaction scale regarding the e-learning process developed by Gulbahar (2012) was used to collect data. The study was conducted at a state university in Turkey with 520 university students (prospective teachers). In this study, it was determined that prospective teachers were generally satisfied with the e-learning process. Students stated their level of satisfaction with the sub-dimensions of "Communication and Usability", "Teaching Process" and "Teaching Content" mostly as "often" and "always" on a Likert-type scale. While the students mostly answered "rarely" and "often" questions about the interaction of the "Interaction and Evaluation" sub-dimension, they answered "often" and "always" to the questions about Evaluation. In addition, a positive significant relationship at the level of 0.01 was found between four sub-dimensions in the study.
Article visualizations:
References
Akaslan, D. & Law, E. L. C. (2011). Measuring teachers' readiness for e-learning in higher education institutions associated with the subject of electricity in Turkey. In Proceedings of 2011 IEEE Global Engineering Education Conference: Learning Environments and Ecosystems in Engineering Education (pp. 481-490). Amman, Jordan.
Akca, M. & Kucukoglu, M. T. (2020). Covid-19 and Its Effects on Business Life: Work at Home, Journal of International Management, Educational and Economics Perspectives, 8 (1): 71–81.
Askar, P., Donmez O., Kızılkaya G., Cevik V. & Gultekin K. (2005). The dimension of student satisfaction on online learning programs. Encyclopedia of Distance Learning Vol 4 (editors: Howard C et al) Idea-Group Reference: USA. P 585-590.
Azeiteiro, M. O., Nicolau, P. B., Caetano, F. J. P. & Caeıro, S. (2015). Education for sustainable development through e-learning in higher education: experiences from Portugal. Journal of Cleaner Production, 106(1): 308–319.
Beqiri, M. S., Chase, N. M., & Bishka, A. (2009). Online course delivery: An empirical investigation of factors affecting student satisfaction. Journal of Education for Business, 85(2): 95-100.
Can, E. (2020). Coronavirus (Covid-19) pandemic and pedagogical implications: pepperoni and distance education applications in Turkey. AUAd, 6(2): 11-53.
Cheong, S. C. (2002). E-learning-a providers prospective. Internet and Higher Education, 4(3-4): 337-352.
Darab, B. & Montazer, G. A. (2011). An eclectic model for assessing e-learning readiness in the Iranian universities. Computers & Education, 56(3): 900-910.
Ehlers, U. (2003). Quality in E-learning: The learner as a key quality assurance category. European Journal of Vocational Training, 29: 3-15.
Erkol, S. & Ugulu, I. (2014). Examining biology teachers’ candidates' scientific process skill levels and comparing these levels in terms of various variables. Procedia Social and Behavioral Sciences, 116: 4742-4747. http://dx.doi.org/10.1016/j.sbspro.2014.01.1019
Fraenkel, J. R., & Wallen, N. E. (2006). How to Design and Evaluate Research in Education, New York: McGraw-Hill.
Gewin, V. (2020). Five tips for moving teaching online as COVID-19 takes hold. Nature, 580 (7802): 295-296.
Gulbahar, Y. (2012). Study of developing scales for assessment of the levels of readiness and satisfaction of participants in e-learning environments, Ankara University, Journal of Faculty of Educational Sciences, 45(2): 119-137
Ilgaz, H., & Gulbahar, Y. (2015). A snapshot of online learners: e-readiness, e-satisfaction and expectations. The International Review of Research in Open and Distributed Learning, 16(2): 171-187.
Jung-Wan, L. & Mendlinger, S. (2011). Perceived self-efficacy and its effect on online learning acceptance and student satisfaction. Journal of Service Science & Management, 4(3): 243-252.
Lee, H. J. & Rha, I. (2009). Influence of structure and interaction on student achievement and satisfaction in web-based distance learning. Educational Technology & Society, 12(4): 372–382.
Lee, J. K. & Hwang, C. Y. (2007). The effects of computer self-efficacy and learning management system quality on e-learner’s satisfaction. In Proceedings of the 2007 European LAMS Conference: Designing the future of learning (pp. 73-79).
Iyer, P., Aziz, K. & Ojcius, D. M. (2020). Impact of COVID‐19 on dental education in the United States. Journal of Dental Education.
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, Medeniyet Sanat - İMÜ Sanat Tasarım ve Mimarlık Fakültesi Dergisi, 6(1): 1-13.
Karcıoglu, C. (2020). COVID-19: Its epidemiology and course in the World. Journal of ADEM, 1(1): 55-71.
Klein, H. J., Noe, R. A. & Wang, C. (2006). Motivation to learn and course outcomes: The impact of delivery mode, learning goal orientation, and perceived barriers and enablers. Personnel Psychology, 59: 665−703.
Korkmaz, O, Çakır, R. & Tan, S. (2015). Öğrencilerin E-ogrenmeye Hazır Bulunusluk ve Memnuniyet Duzeylerinin Akademik Basarıya Etkisi. Ahi Evran Universitesi Kırsehir Egitim Fakultesi Dergisi, 16(3): 219-241.
Muilenburg, L. Y. & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance Education, 26 (1): 29–48.
Newby, T. J., Stepich, D. A., Lehman, J. D. & Russell, J. D. (2006). Educational Technology for Teaching and Learning. Upper Saddle River, New Jersey: Pearson Merrill Prentice Hall.
Palmer, S. R. & Holt, D. M. (2009). Examining student satisfaction with wholly online learning. Journal of Computer Assisted Learning, 25: 101–113.
Pena, M. & Yeung, A. (2010). Satisfaction with online learning: does students’ computer competence matter? International Journal of Technology, Knowledge & Society, 6 (5): 97-108.
Rosen, A. (2009). E-Learning 2.0: proven practices and emerging technologies to achieve real results. New York, USA: Amacom.
Shayan, P. & Iscioglu, E. (2017). An Assessment of Students’ Satisfaction Level from Learning Management Systems: Case Study of Payamnoor and Farhangian Universities. Engineering, Technology & Applied Science Research, 7(4): 1874-1878.
Tuysuz, C. (2014). Determination of Pre-Service Teachers’ Self-Confidence Levels Towards Technology Subdimension of Technological Pedagogical Content Knowledge. International Journal of Academic Research Part B, 6(1): 34-41.
Tuysuz, C., Demirel, O. E. & Yildirim, B. (2013). Investigating the effects of argumentation, problem and laboratory-based instruction approaches on pre-service teachers’ achievement concerning the concept of “acid and base”. Procedia-Social and Behavioral Sciences, 93: 1376-1381.
Tuysuz, C. (2009). Effect of the computer-based game on pre-service teachers’ achievement, attitudes, metacognition and motivation in chemistry. Scientific Research and Essay, 4(8): 780-790.
Ugulu, I. (2020). Gifted students’ attitudes towards science. International Journal of Educational Sciences, 28(1-3): 7-14. https://doi.org/10.31901/24566322.2020/28.1-3.1088
Ugulu, I. (2019). Efficacy of recycling education integrated with ecology course prepared within the context of enrichment among gifted students. International Journal of Educational Sciences, 26(1-3): 49-58. https://doi.org/10.31901/24566322.2019/26.1-3.1086
Ugulu, I. (2015a). A quantitative investigation on recycling attitudes of gifted/talented students. Biotechnology & Biotechnological Equipment, 29: 20-26. http://doi.org/10.1080/13102818.2015.1047168
Ugulu, I. (2015b). Development and validation of an instrument for assessing attitudes of high school students about recycling. Environmental Education Research, 21(6): 916-942. http://doi.org/10.1080/13504622.2014.923381
Ugulu, I. & Yorek, N. (2015). Pre-Service teachers’ comments toward official teacher selection system (Civil Servant Selection Examination, KPSS) in Turkey: A qualitative analysis. Open Journal of Social Sciences, 3: 182-189. http://dx.doi.org/10.4236/jss.2015.39025
Ugulu, I. (2013). Confirmatory factor analysis for testing validity and reliability of traditional knowledge scale to measure university students’ attitudes. Educational Research and Reviews, 8(16): 1399-1408.
Ugulu, I., Sahin, M. & Baslar, S. (2013). High school students’ environmental attitude: Scale development and validation. International Journal of Educational Sciences, 5(4): 415-424.
Ugulu, I., Aydin, H., Yorek, N. & Dogan, Y. (2008). The impact of endemism concept on environmental attitudes of secondary school students. Natura Montenegrina, 7 (3): 165-173.
UNESCO, (2020). WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020, https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020
UNESCO, (2020b). Distance Learning Strategies, What do we know about effectiveness? http://www.unesco.org/covid19EDwebinar, access: 11 August 2020.
Yilmaz, R. (2017). Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Computers in Human Behavior, 70: 251-260.
Yorek, N., Ugulu, I. & Aydin, H. (2016). Using self-organizing neural network map combined with ward’s clustering algorithm for visualization of students’ cognitive structural models about aliveness concept. Computational Intelligence and Neuroscience, Article ID 2476256, 1-14. http://dx.doi.org/10.1155/2016/2476256
Yorek, N., Sahin. M. & Ugulu, I. (2010). Students' representations of the cell concept from 6 to 11 grades: Persistence of the "fried-egg model". International Journal of Physical Sciences, 5(1): 15-24.
Yorek, N., Ugulu, I., Sahin, M. & Dogan, Y. (2010). A qualitative investigation of students’ understanding about ecosystem and its components. Natura Montenegrina, 9(3): 973-981.
Yucel, S. A. (2006). E-learning approach in teacher training. Turkish Online Journal of Distance Education, 7(4): 123-131.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).


