1. Intelligent distance environment for engineering education

2. Introduction Prediction of the educational, learner-oriented process in the computer-based learning systems provides the ability to customize it, and as a result, improve the quality, efficiency and manageability. The individualization of the learning process is based on a number of scientific results obtained by the authors: domain model, learner's fuzzy model, learning scenario, diagnostic procedures and learning process planning. The learning content is an experience, which is put in the learning programs, techniques, methods, models and practices.

3. The principles of intelligence, individualization The principle of intelligence implies that to increase efficiency and quality of distance e-learning it is necessary to apply the rich experience of artificial intelligence theory and practice, including smart- technologies. The principle of individualization implies that to develop the required competencies of trainees it is necessary to form their individual trajectories of engineering education containing methodological, supervisory and design pedagogical components.

4. The principles of integration, accessibility The principle of integration means the interaction between educational environment with the enterprise information assets. The principle of accessibility implies that m-training is available for any place, any time and any category of students (3–For Principle) and is provided by organizational and technical means of cloud computing.

5. Education environment Content Labor specialties Engineering specialties Economic and management specialties Training process control CAD Data unit Tests Simulators Case studies Project solutions base Competence Professional maturity Standards Technologies Methods Educational portal

6. Mathematical software: the domain model

7. Mathematical software: the learner model

8. Mathematical software: the diagnostic procedure

9. Mathematical software: a model of learning scenario

10. System architecture

11. Contacts Ulyanovsk State Technical University, The Institute of Distance and Further Education. Engelsa str. 3. 432063, Ulyanovsk, Russia tel. +7-8422-77-88-45 http://gc.ulstu.ruhttp://gc.ulstu.ru, http://ido.ulstu.ruhttp://ido.ulstu.ru Alexander Afanas’ev, pro-rector for the distance and further education, UlSTU E-mail: a.afanasev@ulstu.rua.afanasev@ulstu.ru