Keywords
distance learning
cluster analysis
individualization of learning
k-means
hierarchical clustering
How to Cite
Abstract
The article is devoted to the urgent problem of educational losses that arose as a result of the COVID-19 pandemic and military operations in Ukraine. The article considers the concept of educational losses, the prerequisites and causes of their occurrence, as well as the categories of losses. The experience of other scientists in measuring and compensating for educational losses is also analyzed. Losses in learning and the decline in the level of students' academic achievements are analyzed separately. The authors propose a comprehensive approach to measuring and compensating for educational losses using cluster analysis methods. The k-means and hierarchical clustering algorithms were applied, which made it possible to identify groups of students with similar academic achievements. Python, with the Pandas, Matplotlib, and Scikit-learn libraries, was used for data processing and analysis. The graphical interface was implemented to visualize the results and facilitate teachers' work. The article presents experimental studies on grouping students 5-6 grades into clusters, as well as loss calculations obtained using the developed software. The results confirmed the existence of a stable correlation between achievements in different subjects and made it possible to calculate the level of individual educational losses.
The proposed approach creates conditions for personalization of learning, timely diagnosis of gaps and planning of compensatory measures, including differentiated tasks, group tutoring and additional psychological support. It was concluded that the automation of educational data analysis and the use of cluster analysis significantly increase the effectiveness of overcoming educational losses and contribute to ensuring equal access to quality education even in crisis conditions.
This will allow teachers to better organize compensation for educational losses, adapt curricula to the individual needs of students.
References
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