USING ARTIFICIAL INTELLIGENCE TO DETERMINE STUDENTS' PERSONAL LEARNING TRAJECTORY
DOI:
https://doi.org/10.17721/3041-2323.2024.365-373Keywords:
individualized learning trajectory, artificial intelligence, expert system, machine learning, deep learningAbstract
This paper addresses the pressing issue of enhancing the quality of education for learners through the application of artificial intelligence to create individualized learning trajectories and assess academic achievement. The goal of this study is to identify the primary tasks, methods, and technologies of artificial intelligence that can be effectively implemented in higher education. The paper proposes the use of expert system shells, machine learning, and deep learning methods to improve the quality of the
educational process.
References
Gritsenko, V. G. (2016). Organizational and pedagogical principles of creation and implementation of a web-oriented information and analytical university management system. Bohdan Khmelnytsky National University [in Ukrainian].
Kankovskyi, I. Ye. (2013). Individual educational trajectories as a necessity of the modern process of professional training. Professional Education: Problems and Perspectives, 4, 62–65 [in Ukrainian].
Lapinskyi, V. V. (2011). Electronic learning tools: Retrospective and prospects. Informatics, 33, 3–9 [in Ukrainian].
Nemets, L. M., Segida, K. Yu., & Logvinova, M. O. (2019). Individual educational trajectories: Role in ensuring the quality of higher education. Problems of Modern Education, 10, 51–60 [in Ukrainian].
Platform for Distance Learning with Open-Source Code EdX. (n. d.). Retrieved from http://edx.org, https://github.com/openedx/XBlock (Accessed: 27.09.2024) [in Ukrainian].
Morozov, A. V., & Vakaliuk, T. A. (2021). An electronic environment of higher education institution (on the example of Zhytomyr Polytechnic State University). Journal of Physics: Conference Series, 1840(1), 012061. https://doi.org/10.1088/1742-6596/1840/1/012061
Sharov, S., Lubko, D., Lomeiko, O., & Chemerys, H. (2021). Information system for the formation of students' individual educational trajectory. 1st International Conference on Education, Humanities, Health and Agriculture. Ruteng, Flores, Indonesia. https://doi.org/10.4108/eai.3-6-2021.2311038
Vinnyk, M., Poltorackiy, M., Spivakovska, Y., Vinnyk, T., Bondarenko, L., & Revenko, Y. (2020). Measuring the effectiveness of the implementation of individual educational trajectories by university students. In CEUR Workshop Proceedings, 2732, 1286–1297.
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