Our purpose of the study was to use the accelerati on of knowledge flow to predict practical use of digital skills . For this purpose, we identified certain variables to be correlated for practical uses probability as a guide for their effectiveness for e-learning assessment . The study was based on evaluating a group of five hundred learners. We designed four types of questionna ires and one telephone surv ey to assess different aspects of the course topics that affect the pr actical uses of digital skills. We applied knowledge management theory, basic principles of classical mechanics and statistical analysis. We developed a formula for linear regression equations for practical uses of digital skills probability. As potential predictor for effective delivery of different topics of an e-learni ng course we obtained knowledge flow acceleration. The results indicated that one of the factors for determini ng practical uses probability in the e-inclusion model for an e-learning course was rela ted to knowledge fl ow acceleration.