THE MULTIFACTOR MATHEMATICAL MODEL FOR CONSTRUCTING A MULTITUDE OF CONSISTENT EDUCATIONAL PATHS FOR TRAINING FULL STACK SPECIALISTS
DOI:
https://doi.org/10.17770/sie2020vol4.5100Keywords:
educational program, full stack specialist, information technology, minimum viable product, multifactor mathematical model, startupAbstract
The modern labor market, especially in the field of information technology startups, requires the training of a sufficiently large number of specialists with competencies in creating the minimum viable product (MVP). The educational organization should be able to quickly form the trajectory of specialist training based on the challenges of the labor market, taking into account the dynamics of its change, while maintaining the integrity and consistency of the educational program. The mathematical model of the formation of an educational program is proposed taking into account a large number of variable parameters, which allows one to construct many possible training paths for specialists and select the optimal ones according to the criteria of cost, efficiency or laboriousness.
References
Bosch, J., Olsson, H., Björk, J., & Ljungblad, J. (2013). The early stage software startup development model: A framework for operationalizing lean principles in software startups. Lean Enterprise Software and Systems. Springer, 167, 1–15.
Dennehy, D., Kasraian, L., O’Raghallaigh, P., Conboy, K., Sammon, D., & Lynch, P. (2019). A Lean Start-up Approach for Developing Minimum Viable Products in an Established Company. Journal of Gecision Systems, 28(3), 224-232.
Gurcan, F., & Köse C. (2017) Analysis of software engineering industry needs and trends: Implications for education. International Journal of Engineering Education, 33(4), 1361-1368.
Guryanov, A., Kozlov, V., & Zhuravliova, O. (2019). Arranging University Educational Process based on the Regional Competence Profile. Society, Integration, Education. Proceedings of the International Scientific Conference, I, 205-212. DOI: http://dx.doi.org/10.17770/sie2019vol1.3829
Kozlov V., Alontseva, E., & Guryanov, A. (2019). Information and Educational Environment for Monitoring and Forming a Cumulative Assessment of Academic Work in a Semester. Society, Integration, Education. Proceedings of the International Scientific Conference. V, 383-392. DOI: http://dx.doi.org/10.17770/sie2019vol5.3828
Kozlov, V., & Nasyrov, M. (2014). Automated information system of active positioning of students in the labor market. International Research Journal, 3-2 (22), 25-26.
Münch, J., Fagerholm, F., Johnson, P., Pirttilahti, J., Torkkel, J., & Jäarvinen, J. (2013). Creating Minimum Viable Products in Industry-Academia Collaborations. Lean Enterprise Software and Systems. Proceedings of 4th International Conference, 137-151.
Northwood, C. (2018). The Full Stack Developer: Your Essential Guide to the Everyday Skills Expected of a Modern Full Stack Web Developer. Retrieved from http://www.xn--101-8cdo3any.xn--p1ai/pdf/The_Full_Stack_Developer.pdf
Park, T., & Wiedenbeck, S. (2011). Learning web development: Challenges at an earlier stage of computing education. Proceedings of the Seventh International Workshop on Computing Education Research, USA, August 8-9, 125-132
Savoskina, E., Domnina, S., & Kozlov. V. (2017). Mehanizm sozdanija regional'nogo kompetentnostnogo profilja vypusknika vuza. Izvestija Samarskogo nauchnogo centra Rossijskoj akademii nauk. Social'nye, gumanitarnye, mediko-biologicheskie nauki, 19(4), 41-45.
Yusupova, O., Alontseva, E., Kozlov, V., & Kulakova, N. (2017).Experience of a pilot project for the implementation of a score-rating system in a technical university. In the collection: Traditions and innovations in construction and architecture. Social and humanitarian and economic sciences. Collection of articles: electronic resource. Samara State Technical University. Samara, 150-153.
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