Mirera Digital Educational Platform
Main Article Content
Abstract
This paper presents the Mirera digital educational platform designed for comprehensive support of the educational process. The platform integrates learning management tools, automated assessment, learning analytics, attendance monitoring, and AI-based support for both instructors and students. The paper describes the key functionalities of the system, including automated assessment across various disciplines, adaptive learning pathways, analysis of students' digital footprints, integrated communication tools, and AI-powered assistants. Particular attention is paid to the automation of routine educational processes and data-driven pedagogical decision-making. The results of experimental deployment demonstrate that the platform reduces instructors' workload, increases student engagement, and improves the efficiency of educational process management. The findings confirm the potential of integrated digital educational platforms as an effective tool for the digital transformation of higher education.
Article Details
References
2. Besshaposhnikov N.O., Kushnirenko A.G., Leonov A.G., Rajko M.V., Sobakinskih O.V. Cifrovaya obrazovatel'naya sreda PiktoMir: opyt razrabotki i massovogo vnedreniya godovogo kursa programmirovaniya dlya doshkol'nikov // Informatika i obrazovanie. 2020. No. 10. P. 28–40. https://doi.org/10.32517/0234-0453-2020-35-10-28-40
3. Smolyaninova O.G., Ivanov N.A. Obzor praktik obespecheniya ehlektronnoj podderzhki obrazovatel'nogo processa sredstvami LMS Moodle: opyt rossijskih vuzov // Azimut nauchnyh issledovanij: pedagogika i psihologiya 2019. Vol. 8, No. 2(27). P. 228–232. https://doi.org/10.26140/anip-2019-0802-0054
4. Tkanov V. Ot pervyh kursov po vyboru k massovoj individualizacii: kak platforma Modeus pomogaet rossijskim vuzam perejti k novoj obrazovatel'noj modeli // Honors College Conference: Materialy II Mezhdunarodnoj konferencii, Krasnoyarsk, 27–28 noyabrya 2020 goda. Krasnoyarsk: Sibirskij federal'nyj universitet, 2020, P. 30–34.
5. Gorchakov L.V., Stas A.N., Kartashov D.V. Obuchenie programmirovaniyu s ispol'zovaniem sistemy EJUDGE // Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta. 2017. No. 9 (186). P. 109–112. https://doi.org/10.23951/1609-624X-2017-9-109-112.
6. Larina Y.A., Lavrovskaya O.B. Osobennosti ispol'zovaniya onlajn-platformy Yandeks.kontest dlya provedeniya zanyatij po programmirovaniyu // Teoreticheskie i prikladnye aspekty razvitiya sovremennoj nauki i obrazovaniya: Materialy IV Vserossijskoj nauchno-prakticheskoj konferencii, Cheboksary, 26 fevralya 2021 goda. Cheboksary: Negosudarstvennoe obrazovatel'noe chastnoe uchrezhdenie dopolnitel'nogo professional'nogo obrazovaniya "Ehkspertno-metodicheskij centr", 2021. P. 102–105.
7. Lakotko E. COURSERA kak al'ternativnoe vysshee obrazovanie // Na putyah k novoj shkole 2016. No. 2. P. 49–54.
8. Shamsudin N.M., Teoh S.H. Exploring the Synergy of Learning Experience Platforms (LXP) with Artificial Intelligence for Enhanced Educational Outcomes // Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024), Shah Alam, Malaysia, 20–22 August 2024. P. 30–40. https://doi.org/10.2991/978-94-6463-589-8_5
9. Grigor'ev S.G. Iskusstvennyj intellekt v obrazovanii // Informatizaciya obrazovaniya i metodika ehlektronnogo obucheniya: cifrovye tehnologii v obrazovanii : Materialy VII Mezhdunarodnoj nauchnoj konferencii, Krasnoyarsk, 19–22 сентября 2023 года. Krasnoyarsk: Krasnoyarskij gosudarstvennyj pedagogi-cheskij uni-versitet im. V.P. Astaf'eva, 2023. P. 1050–1055.
10. Grigor'ev S.G., Anik'eva M.A. Povyshenie ehffektivnosti primeneniya tehnologij generativnogo iskusstvennogo intellekta v obrazovatel'noj deyatel'nosti // Informatika i obrazovanie. 2024. Vol. 39. No. 3. P. 5–15. https://doi.org/10.32517/0234-0453-2024-39-3-5-15
11. Carbonell J. AI in CAI: An Artificial-Intelligence Approach to Computer-Assisted Instruction // IEEE Transactions on Man-Machine Systems. 1970. Vol. 11, No. 4. P. 190–202. https://doi.org/10.1109/TMMS.1970.299942
12. Nye B.D., Graesser A.C., Hu X. AutoTutor and family: A review of 17 years of natural language tutoring // International Journal of Artificial Intelligence in Education. 2014. Vol. 24, No. 4. P. 427–469. https://doi.org/10.1007/s40593-014-0029-5
13. Afzal S., Dempsey B., D'Helon C., Mukhi N., Pribic M., Sickler A., Strong P., Vanchiswar M., Wilde L. The Personality of AI Systems in Education: Experiences with the Watson Tutor, a One-on-One Virtual Tutoring System // Childhood Education. 2019. Vol. 95, No. 1. P. 44–52. https://doi.org/10.1080/00094056.2019.1565809
14. Alden Rivers B., Whitelock D., Richardson J.T.E., Field D., Pulman S. Functional, Frustrating and Full of Potential: Learners’ Experiences of a Prototype for Auto-mated Essay Feedback. Proceedings of the International Computer Assisted Assessment Conference – Research into E-Assessment, Zeist, The Netherlands, 30 June – 1 July 2014. Communications in Computer and Information Science, Vol. 439. P. 40–52. https://doi.org/10.1007/978-3-319-08657-6_4
15. Arnold K.E., Pistilli M.D. Course Signals at Purdue: Using Learning Analytics to Increase Student Success // Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12), Vancouver, Canada, 29 April – 2 May 2012. P. 267–270. https://doi.org/10.1145/2330601.2330666
16. Kustitskaya T.A., Esin R.V., Vainshtein Y.V., Noskov M.V. Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students // Education Sciences. 2024. Vol. 14, No. 6. P. 657–676. https://doi.org/10.3390/educsci14060657
17. Kushnirenko A.G., Leonov A.G., Mashchenko K.A., Martynov N.S., Pchelin K.K., Shlyahov A.V. Integraciya nejrosetevogo assistenta obuchayushchihsya po programmirovaniyu v cifrovuyu obrazovatel'nuyu platformu // Informatika i obrazovanie. 2026. Vol. 41, No. 1. P. 23–36. https://doi.org/10.32517/0234-0453-2026-41-1-23-36
18. Gridnev N.V., Karavaeva A.S., Leonov A.G., Mashchenko K.A., Pchelin K.K., Tarasyuk E.D. Gibridnaya model' obucheniya: novacii v uchete poseshchaemosti v cif-rovoj obrazovatel'noj platforme Mirera // Trudy NIISI. 2025. Vol. 15, No. 1. P. 58–64. https://doi.org/10.25682/NIISI.2025.1.0008
19. Kadina D.I., Leonov A.G., Martynov N.S., Mashchenko K.A., Orlov E.A., Strekalova A.I. Avtomatizaciya proverki na plagiat: novyj podhod k analizu koda v cifrovoj obrazovatel'noj platforme Mirera // Trudy NIISI. 2025. Vol. 15, No. 1. P. 52–57. https://doi.org/10.25682/NIISI.2025.1.0007
20. Leonov A.G., Martynov N.S., Mashchenko, K. A., Hol'kina A.A., Shlyahov A.V. Avtomatizaciya proverki semanticheskoj sostavlyayushchej tekstovyh otvetov obuchayushchihsya v cifrovoj obrazovatel'noj platforme // Programmnye produkty i sistemy. 2024. Vol. 37, No. 3. P. 440–452. https://doi.org/10.15827/0236-235X.147.440-452
This work is licensed under a Creative Commons Attribution 4.0 International License.
Presenting an article for publication in the Russian Digital Libraries Journal (RDLJ), the authors automatically give consent to grant a limited license to use the materials of the Kazan (Volga) Federal University (KFU) (of course, only if the article is accepted for publication). This means that KFU has the right to publish an article in the next issue of the journal (on the website or in printed form), as well as to reprint this article in the archives of RDLJ CDs or to include in a particular information system or database, produced by KFU.
All copyrighted materials are placed in RDLJ with the consent of the authors. In the event that any of the authors have objected to its publication of materials on this site, the material can be removed, subject to notification to the Editor in writing.
Documents published in RDLJ are protected by copyright and all rights are reserved by the authors. Authors independently monitor compliance with their rights to reproduce or translate their papers published in the journal. If the material is published in RDLJ, reprinted with permission by another publisher or translated into another language, a reference to the original publication.
By submitting an article for publication in RDLJ, authors should take into account that the publication on the Internet, on the one hand, provide unique opportunities for access to their content, but on the other hand, are a new form of information exchange in the global information society where authors and publishers is not always provided with protection against unauthorized copying or other use of materials protected by copyright.
RDLJ is copyrighted. When using materials from the log must indicate the URL: index.phtml page = elbib / rus / journal?. Any change, addition or editing of the author's text are not allowed. Copying individual fragments of articles from the journal is allowed for distribute, remix, adapt, and build upon article, even commercially, as long as they credit that article for the original creation.
Request for the right to reproduce or use any of the materials published in RDLJ should be addressed to the Editor-in-Chief A.M. Elizarov at the following address: amelizarov@gmail.com.
The publishers of RDLJ is not responsible for the view, set out in the published opinion articles.
We suggest the authors of articles downloaded from this page, sign it and send it to the journal publisher's address by e-mail scan copyright agreements on the transfer of non-exclusive rights to use the work.