One of the key NTI markets is NeuroNet - a market for human-machine communications based on advanced developments in neurotechnology and increasing the productivity of human-machine systems and the performance of mental and thought processes. NeuroEducation services and products are developing in such segments as distance learning, massive open online courses (MOOCs), blended learning, as well as innovative models of additional education. Modern MOOC platforms allow the collection of complete records of students' online course activity on the Internet, which makes it possible to more closely study student behavior while mastering the course than was previously possible. Students with different motivations for learning MOOCs have very different learning behaviors, and online learning may also differ from the traditional learning process. Therefore, there is a clear need to understand user behavior in MOOCs and, more importantly, to develop effective mechanisms for increased participation in both learning and social interaction. The development of online platforms and other educational services determines the new potential of big data produced by participants in such courses and poses a new range of tasks for researchers, which are mainly focused on two aspects:

1. Studying a student's cognitive behavior pattern by analyzing his learning process and therefore predicting the next step (for example, whether he will leave the course or what grade he will ultimately receive).
2. Providing new features for both students and teachers.