Automation of developing adaptive e-learning using blockchain technology

The low percentage of completion online courses in the framework modern mass education may be related to lack adaptation for a specific user an course learning path unifying all stu-dents. solution problem can adaptive learning, which modifies process different students depending on their characteristics and conditions. purpose study is automate developing e-learning by using blockchain technology. results study, was organized basis Felder-Silverman styles model used as input data experiment. Applying mechanism smart contracts, technology registered events, made it possible determine style users directly during process. chosen styles, well number categories students, were configured exclusively contract code, talk about universality scalability organizing blockchain. also ensured reliability storage traceability. It documents heterogeneous single space adding timemarker author's address each recorded event. proposed method unifies organization e-learning, since suitable models with parameters. automated does not require development preliminary tests free from biased assessments