ONLINE EDUCATION SYSTEM USING PERSONALIZED RECOMMENDATIONS

Authors

  • Zarina VINIARSKA Taras Shevchenko National University of Kyiv image/svg+xml Author
  • Vyacheslav ZOSIMOV Odesa National University of Technology image/svg+xml Author
  • Oleksandra BULGAKOVA Odesa National University of Technology image/svg+xml Author

DOI:

https://doi.org/10.17721/3041-2323.2024.42-51

Keywords:

online education, artificial intelligence, personalization, e-learning

Abstract

The article is devoted to the analysis and design of an online education system with integrated artificial intelligence capabilities to provide personalized recommendations and real-time support. It describes the software architecture, the use of the client-server pattern, and the features of user interface development, database, and server components. The article also highlights the potential for adapting this system to local educational needs.

References

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Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1-47. https://doi.org/10.1177/016146811311500307

StudelpFounder. (2024). Udemy vs. Coursera vs. Udacity vs. Edx – Which is Best? 2024 Review. https://studelpfounder.medium.com/udemy-vs-coursera-vs-udacity-vsedx-c985d44cf9fd

Title

Published

01.10.2024