Öğretmenlerin E-Öğrenme Hazırbulunuşluk Düzeylerini Etkileyen Faktörlerin Rastgele Orman Algoritması Yöntemi İle İncelenmesi.

PARLAK, Mehmet Selim; KAYRİ, Murat

In this study, the e-learning readiness levels of teachers who continue their educational activities through online education during the Covid-19 pandemic process and the factors affecting this level were examined. The research was planned and carried out with the scanning model, one of the quantitative research methods. The research was conducted on 2411 teachers working in schools affiliated to the Directorate of National Education in Van in the 2020-2021 academic year. The data of the study were collected using the "E-learning Readiness Scale" and "Lifelong Learning Scale". Factors affecting elearning readiness were modeled with the Random Forests Algorithm, which is one of the data mining methods. Within the scope of the research, the two-stage clustering analysis and the random forest algorithm that divides the heterogeneous sample into homogeneous subsets were used. Teachers' e-learning readiness levels were used as the dependent variable and 12 variables that were thought to have a theoretical relationship with e-learning readiness were included in the model as independent variables. As a result of the analyses carried out with the Random Forests method, it was determined that the variable that had the most effect on teachers' e-learning readiness was lifelong learning. It was also found that other variables affecting the readiness of e-learning were the branch, age, average daily internet usage time, years of duty, type of institution, the most used device for in internet access, gender, education level, location of the institution, having previous experience in in-service training on information technologies, and job title, respectively.

DIGITAL learning; LEARNING readiness; QUALITATIVE research methodology; ONLINE education; DATA mining

Journal of Yüzüncü Yıl University, Faculty of Education, 2022, Vol 19, Issue 3, p670

1305-2020

Academic Journal

10.33711/yyuefd.1117068670