Determining the perceptions of pre-service teachers on technology-based learning during the Covid-19 process: a latent class analysis approach

In the study, latent class analysis (LCA) was used to determine the unobserved structures and the subpopulations of pre-service teachers' technology-based learning behaviours. According to LCA results, three latent classes were obtained. These classes are labelled as Class-1: "High-Level Technology Perception", Class-2: "Low-Level Technology Perception", Class-3: "Intermediate-Level Technology Perception". When Class-1(Reference Group) and Class-2 were compared, it was observed that the covariates of "gender" and "the Covid-19 pandemic affecting learning motivation" did not have a significant effect on Class-2. It has been determined that pre-service teachers who are older, studying in the 4th grade, using the Internet for more than 8 h a day, have advanced computer skills and have advanced technology-based learning experience are less likely to be in Class-2. In addition, in the study, while self-directed learning with technology was associated with pre-service teachers' attitudes towards online teaching in the Covid-19 period and class membership, the fear of Covid-19 was not associated with latent class membership.