Skip to main content

Intelligent Integrated System for Computer-Aided Design and Complex Technical Objects’ Training

  • Conference paper
  • First Online:
  • 315 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 875))

Abstract

This paper is focused on the generalized structure, mathematical and software of the complex system of design and training that is based on author’s models and methods. The system includes a block of training and block of recommendations. The domain model consists of the scheme level, presentation level and practical level, and is based on the ontology of objects of the problem area. Experiments on teaching student showed an increase in the average level of skill of trainees.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. A global Swiss company offering advanced intelligent application software for multiple business sectors. http://whitestein.com

  2. Dorca, F.A., Lima, L.V., Fernandes, M.A., Lopes, C.R.: Comparing strategies for modeling students learning styles through reinforcement learning in adaptive and intelligent educational systems: an experimental analysis. Expert Syst. Appl. 40, 2092–2101 (2013)

    Article  Google Scholar 

  3. Graf, S., Kinshuk, Liu, TC.: Identifying learning styles in learning management systems by using indications from students’ behaviour. In: Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT 2008), pp. 482–486 (2008). https://doi.org/10.1109/icalt.2008.84

  4. Ozpolat, E., Akar, G.B.: Automatic detection of learning styles for an e-learning system. An Int. J. Comput. Educ. 53, 355–367 (2009). https://doi.org/10.1016/j.compedu.2009.02.018

    Article  Google Scholar 

  5. Chang, Y.C., Kao, W.Y., Chu, C.P., Chiu, C.H.: A learning style classification mechanism for e-learning. An Int. J. Comput. Educ. 53, 273–285 (2009)

    Article  Google Scholar 

  6. Simsek, O., Atman, N., Inveigle, M.M., Arian, Y.D.: Diagnosis of learning styles based on active or reflective dimension of felder and silverman’s learning style model in a learning management system. In: Proceedings of the ICCSA 2010, Part II, LNCS, vol. 6017, pp. 544–555. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Darwesh, M.G., Rashad, M.Z., Hamada, A.K.: Behavioural analysis in a learning environment to identify the suitable learning style. Int. J. Comput. Sci. & Inf. Technol. (IJCSIT) 3(2), 48–59 (2011). https://doi.org/10.5121/ijcsit.2011.3204

    Article  Google Scholar 

  8. Deborah, L.J., Baskaran, R., Kannan, A.: Learning styles assessment and theoretical origin in an E-Learning scenario: a survey. Artif. Intell. Rev. 42, 801–819 (2012). https://doi.org/10.1007/s10462-012-9344-0

    Article  Google Scholar 

  9. Dung, P.Q., Florea, A.M.: An approach for detecting learning styles in learning management systems based on learners’ behaviors. In: Proceedings of the International Conference on Education and Management Innovation (IPEDR 2012), vol. 30, pp. 171–177 IACSIT Press, Singapore (2012)

    Google Scholar 

  10. Jyothi, N., Bhan, K., Mothukuri, U., Jain, S., Jain, D.: A recommender system assisting instructor in building learning path for Personalized Learning System. In: IEEE Fourth International Conference on Technology for Education on Proceedings, pp. 228–230 https://doi.org/10.1109/t4e.2012.51

  11. Afanasyev, A., Voit, N., Gaynullin, R.: The analysis of diagrammatic models of workflows in design of the complex automated systems. In: Proceedings of the First International Scientific Conference «Intelligent Information Technologies for Industry» (IITI 2016), vol. 450, pp. 227–236 (2016). https://doi.org/10.1007/978-3-319-33609-1_20

    Chapter  Google Scholar 

  12. Afanasyev, A.N., Voit, N.N., Kanev, D.S.: Development of intelligent learning system based on the ontological approach. In: Proceedings of the 10th IEEE International Conference on Application of Information and Communication Technologies (AICT), pp. 690–694 (2016)

    Google Scholar 

  13. Afanasyev, A.N., Voit, N.N.: Intelligent learning environments for corporations. In: Proceedings of the 9th IEEE International conference on Application of Information and Communication Technologies, AICT, pp. 107–112 (2015)

    Google Scholar 

  14. Afanasyev, A., Voit, N., Kanev, D., Afanaseva, T.: Organization, development and implementation of intelligent learning environments. In: Proceedings of the 10th International Technology, Education and Development Conference, INTED-2016, pp. 2232–2242 (2016). https://library.iated.org/view/AFANASYEV2016ORG. Last Accessed 14 May 2018

  15. Afanasyev, A., Voit, N.: Intelligent agent system to analysis manufacturing process models. In: Proceedings of the First International Scientific Conference «Intelligent Information Technologies for Industry» (IITI 2016), vol. 451, pp. 395–403 (2016). https://doi.org/10.1007/978-3-319-33816-3_39

    Chapter  Google Scholar 

  16. Afanasyev, A.N., Voit, N.N., Kanev, D.S.: Development of intelligent learning system based on the ontological approach. In: Proceedings of the 10th IEEE International Conference on Application of Information and Communication Technologies (AICT), pp. 690–694 (2016). https://doi.org/10.1109/icaict.2016.7991794

  17. Afanasyev, A., Voit, N., Kanev, D.: Intelligent and virtual training environment. In: Proceedings of the International conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science, FLINS2016, pp. 246–251 (2016). https://doi.org/10.1142/9789813146976_0041

Download references

Acknowledgement

The reported study was funded by RFBR and Government of Ulyanovsk Region according to the research project No. 16-47-732152. The research is supported by a grant from the Ministry of Education and Science of the Russian Federation, project No. 2.1615.2017/4.6.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nikolay Voit .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Afanasyev, A., Voit, N., Igonin, A. (2019). Intelligent Integrated System for Computer-Aided Design and Complex Technical Objects’ Training. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_17

Download citation

Publish with us

Policies and ethics