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All issues Volume 35 (2020) ITM Web Conf., 35 (2020) 03013 References
Open Access
Issue
ITM Web Conf.
Volume 35, 2020
International Forum “IT-Technologies for Engineering Education: New Trends and Implementing Experience” (ITEE-2019)
Article Number 03013
Number of page(s) 6
Section IT Technology in Mathematical Education of Engineers
DOI https://doi.org/10.1051/itmconf/20203503013
Published online 09 December 2020
  1. Yu. Dimitrienko, E. Gubareva, New technology of mathematical training of engineering personnel, based on a neural network model of knowledge, Innovation in education, № 11, pp. 129-140 (2017) [Google Scholar]
  2. Yu. Dimitrienko, E. Gubareva, Hierarchical neural network model for mathematical knowledge and software NOMOTEX for mathematical training of engineers, IOP Journal of Physics: Conference Series, volume 1141 012010 doi:10.1088/17426596/1141/1/012010 (2018) [CrossRef] [Google Scholar]
  3. All-Russian seminar “New digital technologies for the mathematical training of engineering personnel” [Electronic resource]. URL: http://www.bmstu.ru/mstu/news/news.html?newsid=4556 (accessed: 10/15/2018). [Google Scholar]
  4. E.T. Kitova, E.G. Skibitsky, Information and educational environment of the university a toolkit for improving the level of students’ training Innovations in education, № 10, pp. 116–125 (2016) [Google Scholar]
  5. G.I. Ivchenko, Yu.I. Medvedev, Mathematical Statistics: Textbook, M.: Book House “LIBROCOM”, pp. 219, 352. [Google Scholar]
  6. N.Yu. Enatskaya, E.R. Khakimullin, Probability theory and mathematical statistics for engineering directions: a textbook and a workshop for applied undergraduate studies, M.: Yurayt Publishing House, pp. 399 (2015) [Google Scholar]
  7. I.D. Dinov, J. Sanchez, N. Christou, Pedagogical utilization and assessment of the statistic online computational resource in introductory probability and statistics courses, Computers & Education, 50(1), pp. 284-300 (2008) [CrossRef] [Google Scholar]
  8. Q. Zhang, F.C. Bonafini, B.B. Lockee, K.W. Jablokow, X. Hu, Exploring demographics and students’ motivation as predictors of completion of a massive open online course, International Review of Research in Open and Distributed Learning, 20(2), (2019) [Google Scholar]
  9. L. Gao, X. Sun, Online Teaching Management and Practice of “Probability Theory and Mathematical Statistics” Course—Take Bengbu University for Example, Advances in Education, 10, 861 [Google Scholar]
  10. I.D. Dinov, J. Sanchez, N. Christou, Central limit theorem: New SOCR applet and demonstration activity, Journal of Statistics Education, 16(2) (2008) [CrossRef] [Google Scholar]
  11. P.M. Wood, V. Bhute, Exploring Student Perception Toward Online Homework and Comparison With Paper Homework in an Introductory Probability Course, Journal of College Science Teaching, 48(5), pp. 68-75 (2019) [Google Scholar]
  12. N.M. Mezhennaya, O.V. Pugachev, Advantages of Using the CAS Mathematica in a Study of Supplementary Chapters of Probability Theory, European Journal of Contemporary Education, 8(1), pp. 4-24, (2019) [Google Scholar]
  13. E. Mochalina, G. Ivankova, O. Tatarnikov, Advanced teaching module for the course” Theory of Probability and Statistics” based on a recurrent test system with an incremental level of complexity and dynamical case studies, In 4th International Conference on Higher Education Advances (HEAD’18), pp. 597-604 (2018) [Google Scholar]
  14. V. Gromyko, V. Kazaryan, N. Vasilyev, A. Simakin, S. Anosov, Artificial intelligence as tutoring partner for human intellect, Advances in intelligent systems and computing, № 658, pp. 238-247 (2018) [CrossRef] [Google Scholar]
  15. V. Mayorova, O. Zhdanovich, Innovative collaborative educational programs for space systems engineers, Proceedings of the International Astronautical Congress, IAC (2016) [Google Scholar]
  16. G. Procurat, A. Strukova, A. Vukolov, O. Egorova, Generated graphics and game development software in engineering education: Perspectives and experience of usage, Mechanisms and Machine Science, № 64, pp. 123-130 (2019) [CrossRef] [Google Scholar]
  17. N. Serdyukova, V. Serdyukov, S. Neustroev, Testing as a feedback in a smart university and as a component of the identification of smart systems, Smart Innovation, Systems and Technologies, № 144, pp. 527-538 (2019) [Google Scholar]
  18. V. Guznenkov, P. Zhurbenko, The Academic Discipline ’Computer Graphics’ for the Open Education System, 2018 4th International Conference on Information Technologies in Engineering Education, Inforino 2018 – Proceedings 8581738 (2018) [Google Scholar]
  19. A. Karpov, Education for knowledge society: Learning and scientific innovation environment, Journal of Social Studies Education Research, № 8(3), pp. 201-214 (2017) [Google Scholar]

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