SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

MATHEMATICAL SOFTWARE FOR E-LEARNING SYSTEMS IN MECHANICAL ENGINEERING

Nemtinov, Vladimir, Krasnyanskiy, Mikhail, Borisenko, Andrey, Nemtinova, Yulia, Karpushkin, Sergey

First published: 2015https://doi.org/10.5593/sgem2015/b21/s7.025View metrics

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 15

Publication details

Title
MATHEMATICAL SOFTWARE FOR E-LEARNING SYSTEMS IN MECHANICAL ENGINEERING
Authors
Nemtinov, Vladimir, Krasnyanskiy, Mikhail, Borisenko, Andrey, Nemtinova, Yulia, Karpushkin, Sergey
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
191-198
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References30
  1. Al-Zoube M., Abou El-Seoud S., Wyne M.F., Cloud co mputing based e-learning system, International Journal of Distance Education Technologies (IJDET), issue 8(2), pp. 58–71, 2010.

  2. Borisenko A., Kegel P., Gorlatch S., Optimal design of multi-product batch plants using a parallel branch-and -bound method, Parallel Computing Technologies, Lecture Notes in Computer Science, Springer Berlin Heidelberg pp. 417–430, 2011.

  3. Clark R.C., Mayer R.E.: E-learning and the science of instruction, Proven guidelines for consumers and designers of multimedia learning, JohnWiley & Sons, 2011. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org 15th International Multidisciplinary Scientific GeoConferences SGEM2015

  4. Hay K.E., Crozier J., Barnett M., Allison D., Bashaw M., Hoos B., Perkins L., Virtual gorilla modeling project: Middle school students constructing virtual models for learning, International Conference of the Learning Sciences: Facing the Challenges of Complex Real-world Settings, pp. 212-213, 2013.

  5. Kelly A.E., Lesh R.A., Baek J.Y., Handbook of design research methods in education: Innovations in science, technology, engineering, and mathematics learning and teaching, Routledge, 2014.

  6. Lin W.S.,Wang C.H., Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit, Computers & Education, issue 58(1), pp. 88–99, 2012.

  7. Lucas E.P., Cruz-Benito J., Gonzalo O.G., Usalsim: learning, professional practices and employability in a 3d virtual world, International Journal of Technology Enhanced Learning, issue 5(3), pp. 307–321, 2013.

  8. Mokrozub V.: Representation of directed ultra-and hypergraphs with constraints in a relational database, Automatic Documentation and Mathematical Linguistics, issue 45(2), pp. 64–73, 2011.

  9. Nemtinov V., Methodological principles for designing a computerized data system for taking decisions on ecological safety, Scientific and Technical Information Processing C/C of Nauchno-tekhnicheskaia Informatsiia seriia I, issue 32(5), pp. 23–30, 2005.

  10. Nemtinov V., Karpushkin S., Mokrozub V., Malygin E., Egorov S., Krasnyanskiy M., Borisenko A., Nemtinova Y., Methods and algorithms of virtual modeling of chemical and technological systems, The Publishing House of Tambov State University named after G.R. Derzhavin (in Russian), 2011.

  11. Nemtinov V., Karpushkin S., Mokrozub V., Malygin E., Egorov S., Krasnyanskiy M., Borisenko A., Nemtinova Y., A prototype of a virtual model of educational and material resources of a university with chemical and technological profile, The Publishing House of Tambov State University named after G.R. Derzhavin (in Russian), 2012.

  12. O’Neil H.F., Perez R.S., Web-based learning: Theory, research, and practice. Routledge, 2013.

  13. Shi L., Al Qudah D., Qaffas A., Cristea A.I., Topolor: a social personalized adaptive e-learning system, User Modeling, Adaptation, and Personalization, Springer, pp. 338–340, 2013.

  14. Villaverde J.E., Godoy D., Amandi A., Learning styles' recognition in e‐learning environments with feed ‐forward neural networks, Journal of Computer Assisted Learning, vol. 22, issue 3, pp. 197-206, 2006.

  15. Woolf B.P., Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning, Morgan Kaufmann, 2010. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  16. Al-Zoube M., Abou El-Seoud S., Wyne M.F., Cloud co mputing based e-learning system, International Journal of Distance Education Technologies (IJDET), issue 8(2), pp. 58–71, 2010.

  17. Borisenko A., Kegel P., Gorlatch S., Optimal design of multi-product batch plants using a parallel branch-and -bound method, Parallel Computing Technologies, Lecture Notes in Computer Science, Springer Berlin Heidelberg pp. 417–430, 2011.

  18. Clark R.C., Mayer R.E.: E-learning and the science of instruction, Proven guidelines for consumers and designers of multimedia learning, JohnWiley & Sons, 2011. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org 15th International Multidisciplinary Scientific GeoConferences SGEM2015

  19. Hay K.E., Crozier J., Barnett M., Allison D., Bashaw M., Hoos B., Perkins L., Virtual gorilla modeling project: Middle school students constructing virtual models for learning, International Conference of the Learning Sciences: Facing the Challenges of Complex Real-world Settings, pp. 212-213, 2013.

  20. Kelly A.E., Lesh R.A., Baek J.Y., Handbook of design research methods in education: Innovations in science, technology, engineering, and mathematics learning and teaching, Routledge, 2014.

  21. Lin W.S.,Wang C.H., Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit, Computers & Education, issue 58(1), pp. 88–99, 2012.

  22. Lucas E.P., Cruz-Benito J., Gonzalo O.G., Usalsim: learning, professional practices and employability in a 3d virtual world, International Journal of Technology Enhanced Learning, issue 5(3), pp. 307–321, 2013.

  23. Mokrozub V.: Representation of directed ultra-and hypergraphs with constraints in a relational database, Automatic Documentation and Mathematical Linguistics, issue 45(2), pp. 64–73, 2011.

  24. Nemtinov V., Methodological principles for designing a computerized data system for taking decisions on ecological safety, Scientific and Technical Information Processing C/C of Nauchno-tekhnicheskaia Informatsiia seriia I, issue 32(5), pp. 23–30, 2005.

  25. Nemtinov V., Karpushkin S., Mokrozub V., Malygin E., Egorov S., Krasnyanskiy M., Borisenko A., Nemtinova Y., Methods and algorithms of virtual modeling of chemical and technological systems, The Publishing House of Tambov State University named after G.R. Derzhavin (in Russian), 2011.

  26. Nemtinov V., Karpushkin S., Mokrozub V., Malygin E., Egorov S., Krasnyanskiy M., Borisenko A., Nemtinova Y., A prototype of a virtual model of educational and material resources of a university with chemical and technological profile, The Publishing House of Tambov State University named after G.R. Derzhavin (in Russian), 2012.

  27. O’Neil H.F., Perez R.S., Web-based learning: Theory, research, and practice. Routledge, 2013.

  28. Shi L., Al Qudah D., Qaffas A., Cristea A.I., Topolor: a social personalized adaptive e-learning system, User Modeling, Adaptation, and Personalization, Springer, pp. 338–340, 2013.

  29. Villaverde J.E., Godoy D., Amandi A., Learning styles' recognition in e‐learning environments with feed ‐forward neural networks, Journal of Computer Assisted Learning, vol. 22, issue 3, pp. 197-206, 2006.

  30. Woolf B.P., Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning, Morgan Kaufmann, 2010. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list