On the Possibility of Developing a System for Predicting Students Academic Performance Using Machine Learning Methods

Tsygankov, Y.A.; Solovev, A.Iu.; Sergeychik, M.S.

doi:10.1109/summa60232.2023.10349481

2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) 2023

DOI: 10.1109/summa60232.2023.10349481

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On the Possibility of Developing a System for Predicting Students Academic Performance Using Machine Learning Methods

Y.A. Tsygankov,

A.Iu. Solovev,

M.S. Sergeychik

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2024

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Optimising the Educational Process Using Gradient Boosting Machine: Analysing Residual Knowledge and Enhancing Student Performance

Levin

2024

Синтез Науки И Образования Как Перспективный Путь Развития Общества: Сборник Статей Международной Научной Конференции (Петрозав

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The article presents the results of a study to evaluate the effectiveness of applying the Gradient Boosting Machine (GBM) algorithm integrated into the Learning Management System (LMS) to enhance student performance and identify residual knowledge. The experiment was conducted among 98 third-year students, divided into control and experimental groups. The results of the final testing showed a significant improvement in performance in the experimental group compared to the control, as well as increased activity and engagement of students in the educational process. The analysis of data collected using GBM provided accurate identification of knowledge gaps, which allowed for the adaptation of educational materials to eliminate residual knowledge. The study confirms the potential of using machine learning to optimise the educational process. It emphasises the importance of further developing and integrating such technologies into the educational environment.

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Optimising the Educational Process Using Gradient Boosting Machine: Analysing Residual Knowledge and Enhancing Student Performance

Levin

2024

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On the Possibility of Developing a System for Predicting Students Academic Performance Using Machine Learning Methods

Cited by 1 publication

References 9 publications

Optimising the Educational Process Using Gradient Boosting Machine: Analysing Residual Knowledge and Enhancing Student Performance

Optimising the Educational Process Using Gradient Boosting Machine: Analysing Residual Knowledge and Enhancing Student Performance

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