Abstract
The aim of this article is to research the key characteristics of the smart education system, prepare some requirements for its main components, and develop a set of tasks in order to ensure the higher level of education, communication, analysis and prediction of students’ academic performance. Based on the research of the smart education system main components, there was built an account interface for a student to login into this system using web development tools. Moreover, to implement this smart education system, there was recommended to use software and hardware system that will allow quickly to access educational materials, smart simulators, interactive personal assistant, virtual boards, and other educational tools. Overall, the development of the smart education system will provide the higher-quality learning content, make the educational process more individualized, help to keep track of changes in the academic performance, provide recommendations for its improvement, as well as improve the knowledge quality for the future specialists.
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Yaremko, S., Kuzmina, E., Savina, N., Yaremko, D., Kuzmin, V., Adler, O. (2022). Development of a Smart Education System for Analysis and Prediction of Students’ Academic Performance. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_52
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DOI: https://doi.org/10.1007/978-3-030-82014-5_52
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