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.
Authors
- Ekaterina Ivanova (ORCID: https://orcid.org/0000-0002-8243-7585)
- Pavel Zlatarov (ORCID: https://orcid.org/0000-0003-4548-2851)
- Galina Ivanova (ORCID: https://orcid.org/0000-0001-7799-1162)
- Julia Doncheva (ORCID: https://orcid.org/0000-0003-3148-3220)
Institutions
- Angel Kanchev University of Ruse (BG)
Publication Details
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1109/infoteh64129.2025.10959184
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00