Last week I posted an entry announcing Turkish Online Journal of Distance Education – TOJDE – New Issue Published.  Now that I have had a chance to skim through the titles and abstracts of that issue, there were three articles that focused on K-12 distance, online, and/or blended learning – or K-12 remote learning – that I wanted to share.  The third was:

SCHOOL TEACHERS’ BEHAVIOR IN REMOTE LEARNING DURING COVID-19 PANDEMIC: INDONESIA PERSPECTIVE

 Yıl 2022, Cilt 23, Sayı 4, 235 – 254, 01.10.2022

Shine Pintor Siolemba PATIRO  Hety BUDIYANTI

https://doi.org/10.17718/tojde.1182790

Öz

This study aims to uncover the extension of the Technology Acceptance Model (TAM) in understanding, explaining, and predicting elementary school teachers’ behavior in Indonesia to use online learning technology during the covid-19 pandemic. The TAM model in this study is extended by accounting for four additional variables, which are subjective norms, and job relevance as a predictor of perceived usefulness, also, computer self-efficacy and computer anxiety to predict perceived ease of use. This study uses an online survey method with a purposive sampling technique involving 475 elementary school teachers located in Jakarta, Palu, and Sorong (some of the big cities in Indonesia). The data analysis technique is Structural Equation Modeling (SEM) with the help of IBM SPSS AMOS 21 software. The results of this study show that the TAM model developed in this study can explain and predict the intentions of elementary school teachers in using online learning technology during the covid-19 pandemic as indicated by the support of the hypotheses tested in this study. Overall, TAM is a very popular model for understanding, explaining, and predicting the use of new technology systems. The implications and limitations of this study are also discussed in this article.

Anahtar Kelimeler

Computer anxiety, computer self-efficacy, job relevance, subjective norm, SEM, TAM