The Latent Profile Analysis of E-Learning Acceptance for Faculty of Education Students
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Abstract
This research employed the theoretical framework of the Technology Acceptance Model (TAM) and was conducted following survey research which aimed to aimed to 1) investigate the e-learning acceptance among college students at the faculty of education using a latent profile model 2) to compare the level of intention to use e-learning among the latent classes. The sample consisted of 658 students from faculty of education at Silpakorn University through two-stage random sampling. Research instruments including the e-learning acceptance scale with high reliability ranged between 0.84 to 0.89 were used. Frequency, percentage, mean and standard deviation, Pearson’s correlation coefficient, analysis of variance (ANOVA) and latent profile analysis were applied using R package.
The results of the study were as follows; 1) the e-learning acceptance among college students at the faculty of education using a latent profile model revealed five-latent class model provided the best fit to the data (AIC=6,196, BIC=6,322, Entropy=0.82, BLRT p<0.01). 2) the level of intention to use e-learning across latent classes revealed statistically significant difference in intention to use e-learning between the latent classes (p < 0.05). The high potential online learning class had the highest level of intention to use e-learning. The study results suggest that the Technology Acceptance Model (TAM) is a crucial factor in e-learning acceptance for students.
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