Abstract:
The purpose of this research were 1) to synthesize factors affecting adoption decision process for blended learning of faculty of education instructors and 2) to develop and examine the models goodness of fit with the empirical data. The research samples consisted of 222 faculty of education instructors who teaching in second semester, academic year 2010. The latent variables were eight variables and the observed variables were twenty variables. The data were collected by questionnaires and analyzed by employing descriptive statistics, correlation coefficient and linear structural equation model (LISREL). The major findings were as follows: 1.The result of study found the fifteen factors that affected to adoption decision process for blended learning. First group included teachers personalities, socio-economic status, communication behaviors and technology using skills. Second group included change agent roles, technology for instruction policies, infrastructures, human resources development, technical support and admiration from organization. Last group included attribute of blended learning: relative advantage, compatibility, trialability, complexity and observablility. 2.The causal model was fitted to empirical data (χ2 = 322.28, df = 148, p = 0.00, χ2/df = 2.178, RMSEA = 0.073, GFI = 0.873, AGFI = 0.819, PGFI = 0.615, NFI =0.985, CNFI = 0.989, RMR = 0.038, Standardized RMR = 0.047). The details were as follows: Teacher characteristics factors had positive direct effects to knowledge stage and decision stage. Besides, these factors were positive indirect effects to adoption decision process from persuasion stage to confirmation stage. Variables that had the highest factors loading were communication behaviors, socio-economic status, technology using skills and personalities respectively. Academic administrations factors had positive direct effects to knowledge stage only and were the most effective variable in this stage. In addition, these factors were positive indirect effects to adoption decision process from persuasion stage to confirmation stage. Variables that had the highest factors loading were human resources development, technical support, infrastructures, admiration, technology for instruction policies, and change agent roles respectively. Attributes of blended learning factors had positive direct effects to persuasion stage, decision stage, and confirmation stage. Furthermore, these factors were indirect effects to adoption decision process from decision stage to confirmation. Variables that had the highest factors loading were trialability, complexity, compatibility, observablility, and relative advantage respectively. Moreover, each stage of adoption decision process had positive direct effects to next stages continuously.