Confirmatory Factor Analysis for Student Perception of Massive Open Online Course in Islamic Banking Management

The objective of this study is to evaluate modelling of student perception towards massive open online course (MOOC) using confirmatory analysis in structural equation modelling (SEM). MOOC is an online course aimed at unlimited participation and open access via the web to enable learners to access electronic content using internet. In this study, Islamic Banking Management course is selected as reference to measure student perception towards online learning with two input variables namely perceived usefulness and perceived ease of use. The method implemented in this study is using structural equation modelling using confirmatory factor analysis and path analysis. Both of these analyses are to confirm the correlation effect and causal effect between independent variables and dependent variable. The number of respondents is 105 students that involved with online learning course. This study implemented model fit method to assess how well the proposed model captured the covariance between all the items or measures in the model. The results of this study indicate the model fit using Root Mean Square Error of Approximation (RMSEA). The value of RMSEA is 0.059 that is lower than required level 0.08. Therefore, small value of RMSEA shows model fit that avoids issues of sample size by analysing the discrepancy between the hypothesized model, with optimally chosen parameter estimates, and the population covariance matrix. The model indicates student perception towards MOOC is significantly contributes by perceived usefulness and perceived ease of use.