SECTIONS Model Analysis for Pre-service English Teachers' Media Selection in Pandemic Covid 19

Abstract

The development of technology-based learning cannot replace the teacher's role as an educator, but the teacher who does not want to learn technology, the teacher will be replaced. During the COVID-19 pandemic and the digital era of technology, it provides opportunities for teachers to develop creative ideas in the use of online learning media. This article aims to analyze the selection of elearning media using the SECTIONS model for pre-service teachers. The Structural Equation Model (SEM) approach was used to analyze the relationship between components of SECTIONS model and media selection variable. The number of participants in this study were 200 pre-service English teachers in the Institut Agama Islam Negeri Syekh Nurjati, Indonesia. The results showed that there was a significant effect between components of SECTIONS model and selection of e-learning media. The SECTIONS model is effective and efficient for selecting English e-learning media. Through the SECTIONS model, it can minimize the negative impacts caused by incorrectly determining e-learning media.