Adapting to student's individual differences: A step to better learning performance

An e-learning system able to adapt to different learning characteristics of users may improve their performance and increase their learning outcome, as suggested by the research. However, the development of adaptive systems addresses major research questions, identifying and appraising relevant user characteristics as the starting point. Conducted empirical study reveals statistically significant correlations of user intelligence, experience and motivation with her/his learning outcome in an e-learning environment. This contribution adds usefully to the body of knowledge on individual differences and will be considered in an estimation of possible benefits from system adaptive behavior.