Moskva, Moscow, Russian Federation
Bryansk, Bryansk, Russian Federation
Bryansk, Bryansk, Russian Federation
Bryansk, Bryansk, Russian Federation
Modern requirements for educational technologies are flexibility and adaptability, with the consideration of the student’s individual characteristics, learning style and basic competencies. The most important resource is time, therefore, shortening the training time and obtaining the most useful and complementary professional competencies and knowledge is an urgent and important task. The article discusses the concept of metadesign as a means for building learning paths, and examines the design and platform application based on its principles. Implementing metadesign principles is demonstrated on the example of the educational trajectory while training software developers. Forming the learning paths within the trajectory using the created educational platform is considered. The functional requirements for the educational platform are stated. The principles of building an educational trajectory within the framework of the platform using modern educational trends and simulators are described.
metadesign, educational trajectories, interactivity, gamification, simulators, visualization
1. Fischer G., Giaccardi E. Meta-design: A Framework for the Future of End-User Development. In: Lieberman H., Paternò F., Wulf V. (eds) End User Development. Human-Computer Interaction Series, 2006, vol. 9. Springer, Dordrecht. DOI:https://doi.org/10.1007/1-4020-5386-X_19.
2. Giaccardi E. Principles of Metadesign: Processes and Levels of Co-Creation in the New Design Space, 2003. Available at: http://hdl.handle.net/10026.1/799.
3. Korostelyov D.A., Radchenko A.O., Silchenko N.S., Krylov R.A., Migal P.N. Software Platform for Designing and Running Artificial Intelligence Competitions with a Visualization Subsystem. Proceedings of the 29th International Conference on Computer Graphics and Vision (GraphiCon 2019). Bryansk, CEUR Workshop Proceedings, 2019, vol. 2485, pp. 295-299. DOI:https://doi.org/10.30987/graphicon-2019-2-295-299.
4. Zakharova A.A., Silchenko N.S., Krylov R.A., Aver-chenkov V.I. The Software Platform for Creating and Conduct-ing Artificial Intelligence Competitions with a Visualization Subsystem. Proceedings of the 8th International Scientific Conference on Computing in Physics and Technology (CPT2020). Pushkino, CEUR Workshop Proceedings, 2020, vol. 2763, pp. 207-212. DOI: 0.30987/conferencearticle_5fce2771ef1358.41238945
5. Zakharova A.A., Vekhter E.V., Shklyar A.V. The Applicability of Visualization Tools in the Meta-Design of an Educational Environment. Evropeyskiy zhurnal sovremennogo obrazovaniya [European Journal of Contemporary Education], 2019, vol. 8, no 1, pp. 43-51. DOI:https://doi.org/10.13187/ejced.2019.1.43
6. Wood J. Win-Win-Win-Win-Win-Win: Synergy Tools for Metadesigners. In: Inns T. (eds) Designing for the 21st Cen-tury, Interdisciplinary Questions and Insights. London, Gower Publishing Ltd, 2007, pp. 114-128.
7. Zakharova A.A., Shklyar A.V., Rizen Y.S. Measura-ble Features of Visualization Tasks. Nauchnaya vizualizatsiya [Scientific Visualization], 2016, vol. 8, no. 1, pp. 95-107.
8. Zakharova A.A., Vekhter E.V., Shklyar A.V. Me-thods of Solving Problems of Data Analysis Using Analytical Visual Models. Nauchnaya vizualizatsiya [Scientific Visualiza-tion], 2017, vol. 9, no. 4, pp. 78-88. DOI:https://doi.org/10.26583/sv.9.4.08.
9. Van Wijk J.J. The Value of Visualization. In: Proceedings of VIS 05. IEEE Visualization, 2005, pp. 79-86. DOI:https://doi.org/10.1109/VISUAL.2005.1532781
10. Guo H. et al. A Case Study Using Visualization Interac-tion Logs and Insight Metrics to Understand How Analysts Arrive at Insights. IEEE Transactions on Visualization and Com-puter Graphics, 2016, vol. 22, no. 1, pp. 51-60. DOI:https://doi.org/10.1109/TVCG.2015.2467613
