Leveraging a Specialized Screening System for Personalized Learning: A Statistical Evaluation of Student Performance Optimization

Personalized learning is recognized for its role in enhancing student performance by addressing individual learning needs. This study presents a statistical evaluation of a pedagogical experiment conducted via a specialized screening system designed to improve learning outcomes and provide the basis for data-driven customization of educational content. The system enables continuous tracking of student progress and provides real-time feedback for educators to fine-tune instructional strategies. Using a sample of elementary school students, we conducted an empirical study comparing traditional methods with personalized learning approaches facilitated by the screening system. Statistical analyses revealed performance improvements among students in the experimental group, particularly when personalized learning plans were used in the process. These findings underscore the screening system's potential as a valuable tool in personalizing education, paving the way for its broader integration within educational environments.

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Published
2025-03-19
DOI
https://doi.org/10.1109/infoteh64129.2025.10959184
Primary Topic
Online Learning and Analytics
Type
article
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article

Leveraging a Specialized Screening System for Personalized Learning: A Statistical Evaluation of Student Performance Optimization

Ekaterina Ivanova, Pavel Zlatarov, Galina Ivanova, Julia Doncheva
Online Learning and Analytics
article

Leveraging a Specialized Screening System for Personalized Learning: A Statistical Evaluation of Student Performance Optimization

Ekaterina Ivanova, Pavel Zlatarov, Galina Ivanova, Julia Doncheva
article en

Abstract

Personalized learning is recognized for its role in enhancing student performance by addressing individual learning needs. This study presents a statistical evaluation of a pedagogical experiment conducted via a specialized screening system designed to improve learning outcomes and provide the basis for data-driven customization of educational content. The system enables continuous tracking of student progress and provides real-time feedback for educators to fine-tune instructional strategies. Using a sample of elementary school students, we conducted an empirical study comparing traditional methods with personalized learning approaches facilitated by the screening system. Statistical analyses revealed performance improvements among students in the experimental group, particularly when personalized learning plans were used in the process. These findings underscore the screening system's potential as a valuable tool in personalizing education, paving the way for its broader integration within educational environments.

Angel Kanchev University of Ruse (BG)
Quality Education
Openalex Percentile: Top 93%
Online Learning and Analytics
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Leveraging a Specialized Screening System for Personalized Learning: A Statistical Evaluation of Student Performance Optimization — Ekaterina Ivanova, Pavel Zlatarov, et al. · (2025) | TGRS Research Map | TGRS