Blended Learning Training Model as a Motivational Approach in increasing the Capacity of Training Participants

Abstract

Training using the blended learning method has many advantages compared to training conducted conventionally or online. There has been a lot of research on this blended learning training system, but not much has highlighted the motivational aspect as an important factor in shaping participants' attitudes in participating in programmatic training programs in general.  The aim of this research is to determine the influence of facilitator factors and training support on the motivation of training participants through training using the blended learning method in an effort to increase their knowledge and skills capacity so as to form a predisposition for learning transfer. The next goal is to formulate an effective and efficient training model without reducing the quality of increasing the capacity of training participants. The Structural Equation Modeling – Partial Least Square (SEM-PLS) approach was used to validate the research model. Empirical results show that facilitating factors, supporting training, and training using the blended learning method have a significant positive influence on motivation. The results of the structural model evaluation confirm that the training model using the blended learning method has a very good overall level of suitability with the ability to explain the relationship between latent variables that is strong (high) so that the model has an acceptable suitability or model fit.