Measuring the responsiveness of e-learning materials to varying learning styles using EDUSA method

The strength of the acceptance by a particular e-learner for a particular e-learning material depends on two main factors: 1) the ability of the e-learner to vary his or her learning style, especially in terms of pace, and 2) the ability of the e-learning material to offer a sufficient responsiveness in adaptation to the corresponding learning style of the particular e-learner. E-learning materials that better adapt to the varying learning styles of e-learners have a larger "contact area" than those that don't. The proposed approach of identifying the responsiveness of e-learning materials to varying learning styles is based on a method developed by the Distance Education Study Centre at Riga Technical University describing the relation between Browsing, Discovering and Learning probability distribution curves obtained by collecting and evaluating the human-computer interaction data. While being near real-time, this measurement is considered highly unobtrusive and cost-effective because of its highly automated approach