Preview

Advanced Engineering Research (Rostov-on-Don)

Advanced search

Automation of multicriteria ranking of students using ePortfolio

https://doi.org/10.23947/1992-5980-2019-19-4-382-388

Abstract

Introduction. The paper considers improving the management quality of an educational organization through automating the personalized data collection, storage and ranking. The authors have developed a module of the university corporate system, an ePortfolio of students, which implements a multicriteria optimization method for calculating the students’ rating on the basis of the collected and stored data. The study object is multicriteria ranking methods. The subject of the study is the automated calculation of student’s rating within the electronic portfolio. The study objective is to develop tools for collecting, storing and processing data on individual achievements of students and the implementation of the mathematical method of multicriteria optimization for ranking students on the basis of the portfolio data. Practical implications include development of a tool for an effective management of the educational process.

Materials and Methods. A prototype module of the university corporate system “ePortfolio” on the platform of 1C: Enterprise 8.3 is presented. To rank students, a special case of the alternative ranking method is implemented in the block of the data analysis module – pairwise comparison in order of their relative importance. At that, a unified scale of relations was used.

Research Results. The authors described the scheme of the information system (IS) operation “ePortfolio”, presented a process interaction pattern for the portfolio formation, as well as a diagram of business processes under calculating an individual rating. A fragment of the sample is shown on which the performance of the multicriteria optimization block has been tested. The criteria of the calculations are described, as well as the rule of screening alternatives for solving for the optimum.

Discussion and Conclusion. The paper presents the results of the IS block operation on ranking a list of students. The calculation results coincide with the practical data.

About the Authors

L. A. Ponomareva
Moscow City University, Institute of Digital Education
Russian Federation


O. N. Romashkova
Moscow City University, Institute of Digital Education
Russian Federation


A. N. Belyakova
Moscow City University, Institute of Digital Education
Russian Federation


V. S. Zabolotnikova
Moscow City University, Institute of Digital Education
Russian Federation


References

1. Об образовании в Российской Федерации : федер. закон от 29.12.2012 № 273-ФЗ [Электронный ресурс] / КонсультантПлюс. ― Режим доступа : http://www.consultant.ru/document/cons_doc_LAW_140174/ (дата обращения : 20.09.2019).

2. Orlov, Y. Time-dependent sir modeling for d2d communications in indoor deployments / Y. Orlov, D. Zenyuk, A. Samuylov, D. Moltchanov, Y. Gaidamaka, K. Samouylov, S. Andreev, O. Romashkova // Proceedings - 31st European Conference on Modelling and Simulation, ECMS. — 2017. — P. 726–731.

3. Gudkova, I. A. Determination of the range of the guaranteed radio communication in wireless telecommunication networks of IEEE 802.11 standard with the use of ping program / I. A. Gudkova, O. N. Romashkova, V. E. Samoylov // CEUR Workshop Proceedings 8. Ser. “ITTMM 2018”: Proceedings of the Selected Papers of the 8th International Conference "Information and Telecommunication Technologies and Mathematical Modeling of HighTech Systems". — 2018. — P. 54–59.

4. Romashkova, O. N. Application of information technology for the analysis of the rating of university / O. N. Romashkova, L. A. Ponomareva, I. P. Vasilyuk, Y. V. Gaidamaka // Workshop proceedings 8. Ser. “ITTMM 2018”: Proceedings of the selected papers of the 8th international conference "Information and Telecommunication Technologies and Mathematical Modeling of High-Tech Systems". — 2018. — P. 46–53.

5. Ponomareva, L. A. Method of effective management of competence development processes in educational environments. / L. A. Ponomareva, P. E. Golosov, A. B. Mosyagin, V. I Gorelov //, Modern science: actual problems of theory and practice. Series: natural and technical. — 2017. — Vol. 9. — P. 48.

6. Ponomareva, L. A. Method of computer aided formation of organic compound descriptors for quantitative structure-property relationships / L. A. Ponomareva, M.I. Kumskov, E. A. Smolenskii, D. F. Mityushev, N. S. Zefirov // News of the Academy of Sciences. Chemical series. — 1994. — No. 8. — P. 1391.

7. Prokhorov, E. I. Fuzzy classification and fast rules for refusal in the QSAR problem / E. I. Prokhorov, L. A. Ponomareva, E.A. Permyakov, M.I. Kumskov // Pattern recognition and image analysis (advances in mathematical theory and applications). — 2011. — Vol. 21, no. 3. — P. 542–544.

8. Пономарева, Л. А. Линейное ранжирование показателей оценки деятельности вуза / Л. А. Пономарева, О. Н. Ромашкова, И. П. Василюк // Современные информационные технологии и ИТобразование. ― 2018. ― Т. 14, № 1. ― С. 245–255.

9. Пономарева, Л. А. Алгоритм оценки эффективности работы кафедр университета для управления его рейтинговыми показателями / Л. А. Пономарева, О. Н. Ромашкова, И. П. Василюк // Вестник Рязан. гос. радиотехн. ун-та. ― 2018. ― № 64. ― С. 102–108.

10. Prokhorov, E. I. Fuzzy classification and fast rejection rules in the structure-property problem. / E. I. Prokhorov, L. A. Ponomareva, E. A. Permyakov, M. I. Kumskov // Pattern recognition and image analysis (advances in mathematical theory and applications). — 2013. — Vol. 23, no. 1. — P. 130–138.

11. Bobrikova, E. The application of a fluid-based model for the analysis of the distribution time of a file among users in peer-to-peer network. / E. Bobrikova, Y. Gaidamaka, O. Romashkova // Selected Papers of the II International Scientific Conference "Convergent Cognitive Information Technologies" (Convergent 2017). CEUR Workshop Proceedings. — 2017 — Vol. 2064. — P. 55–61 Available at: http://ceur-ws.org/Vol-2064/paper06.pdf


Review

For citations:


Ponomareva L.A., Romashkova O.N., Belyakova A.N., Zabolotnikova V.S. Automation of multicriteria ranking of students using ePortfolio. Vestnik of Don State Technical University. 2019;19(4):382-388. https://doi.org/10.23947/1992-5980-2019-19-4-382-388

Views: 696


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2687-1653 (Online)