The problem of using digital applications to predict students’ academic success in scientific receptions by scholars

Хоружа, Людмила Леонідівна and Тустановський, Віталій Володимирович (2026) The problem of using digital applications to predict students’ academic success in scientific receptions by scholars Науковий вісник ужгородського університету, 1 (58). pp. 285-290. ISSN 2524-0609

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Abstract

Scholars have identified several variable practices regarding the use of digital applications in predicting students' academic performance. It becomes especially relevant when digital applications are integrated into educational platforms, provide transparent explanations of forecasts, and adhere to the principle of «people at the center of decision-making, affecting the retention of the student contingent and the quality of their education. The article studies scientific works on the issue of using digital applications to predict students' academic performance. The essence of the category “academic performance” is considered a complex construct used in educational research to assess students' learning outcomes. The methodology of scientific research is based on an interdisciplinary approach to consider the issue of predicting student performance using digital applications, based on research in pedagogy, psychology, information technology, mathematics, etc. An analysis of the scienti¿c receptions of domestic and foreign scholars made it possible to analyze the problem through the prism of educational analytics, the peculiarities of forecasting in education, and to directly study current research on digital forecasting applications. The latter are considered certain tools that make it possible to obtain the necessary information and results of students' academic performance. Modern research uses ensemble methods, such as Gradient Boosting (XGBoost, LightGBM), which demonstrate high accuracy when working with educational data. Information systems are also being developed that automatically collect data on educational activities and generate forecasts. Emphasis is placed on the use of modern containerization technologies (Docker, Kubernetes) and scaling digital applications in cloud environments (AWS, Azure, GCP), opening up opportunities for real-time forecasting.

Item Type:	Article
Uncontrolled Keywords:	academic performance; forecasting; educational analytics; digital applications; scientific reception of scholars
Subjects:	Статті у базах даних > Index Copernicus Статті у періодичних виданнях > Фахові (входять до переліку фахових, затверджений МОН)
Divisions:	Факультет педагогічної освіти > Кафедра освітології та психолого-педагогічних наук
Depositing User:	Людмила Леонідівна Хоружа
Date Deposited:	06 May 2026 09:43
Last Modified:	06 May 2026 09:43
URI:	https://elibrary.kubg.edu.ua/id/eprint/57337

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