Predictor factors for actual usage of online evaluation and assessment systems: A Structural Equation Model (SEM) study

Abstract

E-Learning has been an emerging topic for education world for two decades, and due to this fact; it has been analyzed with all of its dimensions and factors. However, the evaluation and assessment issues of e-learning can be assumed as untouched especially in students' perspective. Evaluation and assessment concepts of students' cognitive, affective and behavioral domains have a lot of variables that affect each other. In this study, predictors of students' actual usage of online education systems and their relations are designed as a new theoretical framework, and analyzed by applying Structural Equation Model (SEM) analysis. For this analysis, an online questionnaire is applied to the students who have been using a uniquely designed online evaluation and assessment system (OEAS) for five years in a governmental high school. As a result of the study, "self-efficacy" and "user interface design" are found as significantly effective on "perceived ease of use", while "self-efficacy" and "perceived ease of use" have significant influence on "perceived usefulness". In addition, it is found that actual usage of online evaluation and assessment system is directly and significantly affected from "perceived usefulness", "technical support" and "service quality". To sum up, the conclusions of the study, in students' perspective, are advisable for the educational technologists.