Efl Instructors’ Digital Technology Perceptions, Motivation, and Job Satisfaction Levels in Emergency Remote Education
Demirkol Orak, Suheyla
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The present study investigated EFL instructors’ digital technology integration, motivation, perception and job satisfaction levels regarding SAMR Model in the Emergency Remote Education (ERE) process caused from Covid-19 pandemic. The study was employed at 20 universities in Türkiye, and 162 female and 81 male EFL instructors participated in the quantitative study, and 14 of them participated in the qualitative part via convenience sampling method. A mixed-method explanatory research design was employed. Quantitative data was collected via online questionnaires, and qualitative data was collected via semi-structured interviews, reflection journals, and open-ended resposes. Descriptive Statistics, Pearson Correlation Analysis, Hierarchical Multiple Regression, Anova, and Content analysis methods were utilised. The results discovered that EFL instructors’ digital technology integration levels circulated around the Substitution and Modification levels, and instructors were neither motivated nor satisfied with teaching online during the ERE. It was revealed that there was not a significant relationship between instructors’ digital technology integration levels and their motivation and job satisfaction levels. Multiple Hierarchical Regression results showed that instructors’ gender, background education, and online teaching experiences have a siginificant relationship with their digital technology integration levels, age and seniority do not have. The findings pointed that instructors’ digital technology integration practices were rendered mainly because of passive students and insufficient infrastructure. To ensure a sustainable education, educational bodies are recommended to strengthen infrastructure, and develop regular Professional Development Units to meet the addressed gap of the instructors’ insufficient background education and online teaching experiences with the upgraded methods.