The study is aimed to develop the open innovation model of student's research activities based on the adaptation of modern scientific achievements in the context of transition to sustainable development of the education system. It advances a general approach to the design of the structure and implementation of main components of hybrid intelligent system to integrating a production-frame model of knowledge and neural network algorithm for the formation of an individual learning scenario. The software implemented as a hybrid intellectual environment for organizing student's research activities is conventionally represented as a combination of blocks: a graphical user interface; technological core of hybrid learning environment, including a neural network classifier and a training data bank; a system for interaction and activation of third-party software and software and hardware. The technological basis for the individualization of the learning trajectory is the automated construction, forecasting of development and interactive correction of competence-oriented and associated models of a subject area. As a technological core, it uses a hybrid system of interaction between an artificial neural network and an expert system functioning based on a database of research projects. The presented innovation algorithm makes it possible to implement the technology of student's research activities organizing as a process of setting up the generalized constructions of complex knowledge. Further research prospects consist of the program implementation of hybrid intellectual learning environment for the development of student's research activities and its preparation for trial operation.