Predicting eLearning Readiness Model: A Case Study of Fiji’s Secondary School Science Teachers

The use of information communication technology (ICT) tools for eLearning has immense potential in teaching and learning especially in the Sciences. Despite the Fiji government’s focus and efforts towards the introduction of ICT in school, not all science teachers seem to make use of ICT. This study investigated how well-grounded science teachers are in the use and implementation of eLearning tools in their pedagogical practices. A cross-sectional survey design was used with random sampling of 150 participants from 42 public secondary schools in nine designated districts in Fiji. The independent variables used were computer technology usage, internet usage, perception, implications of eLearning for science education, teacher training experiences and institutional eLearning status while the dependent variable was readiness & motivation for eLearning. The findings reveal that all six independent variables are positively correlated to readiness & motivation of the science teachers for acceptance of eLearning with perception and implication of eLearning on science education having the strongest correlation. Utilizing the multiple regression technique, a best fit model is proposed for eLearning readiness.