2023, no. 6
INFORMATION TECHNOLOGY IN EDUCATION

Technologies of remote laboratory practical training in engineering disciplines

Ilya B. Ginzburg, Aleksandr A. Ermakov, Sergey N. Padalko

DOI 10.20339/am.06-23.094pp. 94–102UDC [378:62]-042.4:00480 RUB

PDF

Bookmark

Abstract

The article presents the results of the development and implementation of distance learning technologies for conducting a laboratory workshop in engineering disciplines. Among them, ways to ensure remote laboratory practice, organizational and technical problems associated with distance learning, and solutions to these problems based on the experience gained. The technology and software solution based on Project Jupiter components are proposed, providing effective remote interaction in the process of conducting laboratory classes.

References

  1. Moodle — Open-source learning platform. Moodle.org [Online resource] URL: https://moodle.org/

    moodle.org
  2. SDE “Prometei”. Virtual Technologies in Education LLC [Online resource] URL: https://www.prometeus.ru/

    prometeus.ru
  3. Borodinsky, A.V., Ginzburg, I.B., Stolyarchuk, V.A. Evolution of distance learning methods. Scientific and Technical Bulletin of the Volga region. 2020. No. 11. P. 24–26.

  4. Maxorin, А.О., Padalko, С.N., Terentiev, М.N. Simulation of a multi-gateway wireless self-organizing network of arbitrary topology taking into account the solution of the problem of choosing optimal network parameters. Scientific and Technical Bulletin of the Volga region. 2014. No. 6. P. 228–232.

  5. Maxorin, А.О. Integer modeling of injective and bijective mappings. Scientific and Technical Bulletin of the Volga region. 2019. No. 12. P. 77–79.

  6. Maxorin, А.О., Stankevich, А.М. Resource usage model for solving aggregate planning tasks. Scientific and Technical Bulletin of the Volga region.2017. No. 2. P. 116–120.

  7. Stolyarchuk, V.А. Automated research support system. Automation. Modern technologies. 2020. No. 2. P. 64–71.

  8. Kondrashev, Y.N. The use of analytical technologies in decision support systems at the stages of the life cycle of aerospace products. Scientific and Technical Bulletin of the Volga Region. 2019. No. 5. P. 37–41.

  9. Volkomorov, S.V., Karpenko, А.P., Martinyk, V.А. Analysis of kinematics of parallel mechanisms by means of the CATIA computer-aided design system. Information Technologies. 2010. No. 11. P. 45–51.

  10. Project Jupyter [Online resource]. URL: https://jupyter.org/

    jupyter.org
  11. JupyterHub – JupyterHub 3.0.0 documentation [Online resource]. URL: https://jupyterhub.readthedocs.io/en/stable/

    jupyterhub.readthedocs.io
  12. JupyterLab – JupyterLab 3.5.0b0 documentation [Online resource]. URL: https://jupyterlab.readthedocs.io/en/stable/

    jupyterlab.readthedocs.io
  13. gnuplot homepage [Online resource]. URL: http://www.gnuplot.info/

    gnuplot.info
  14. GNU Octave [Online resource]. URL: https://octave.org/

    octave.org
  15. QuantStack/jupyterlab-drawio: A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab // GitHub: Let’s build from here [Online resource] URL: https://github.com/QuantStack/jupyterlab-drawio

    github.com
  16. Jeffrey M. Perkel. Why Jupyter is data scientists’ computational notebook of choice. November 2018. Nature 563 (7729). P. 145–146. DOI:10.1038/d41586-018-07196-1

    DOI 10.1038/d41586-018-07196-1
  17. Adam B. Blake, Benjamin J. Winjum, James Stigler. Simple Workflows for Teaching with Jupyter. January 2022. Conference: IASE 2021 Satellite Conference: Statistics Education in the Era of Data Science. DOI:10.52041/iase.yphve

    DOI 10.52041/iase.yphve
  18. Noprianto Noprianto, Vivi Nur Wijayaningrum, Vivin Ayu Lestari. Jupyter Lab Platform-Based Interactive Learning. December 2022. Conference: 2022 International Conference on Electrical and Information Technology (IEIT) At: Malang, Indonesia. DOI:10.1109/IEIT56384.2022.9967857

    DOI 10.1109/ieit56384.2022.9967857