BIOSTATISTICAL EVALUATION OF THE EFFECTIVENESS OF PERSONALIZED LEARNING SYSTEMS IN TEACHING "INFORMATION TECHNOLOGIES" IN MEDICAL HIGHER EDUCATION INSTITUTIONS

This study investigates the effectiveness of personalized electronic learning systems in teaching the “Information Technologies in Medicine” course to first-year pharmacy students at a medical higher education institution. The results of the pedagogical experiment were evaluated within the Microsoft Excel environment using biostatistical methods, specifically analysis of variance and Student’s t-test. The empirical findings demonstrated that the academic performance of students in the experimental group, who were taught via the personalized e-system, was statistically significantly higher ($p < 0.05$) compared to the control group taught through traditional methods.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20320847
Primary Topic
Innovative Teaching Methods
Type
article
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article

BIOSTATISTICAL EVALUATION OF THE EFFECTIVENESS OF PERSONALIZED LEARNING SYSTEMS IN TEACHING "INFORMATION TECHNOLOGIES" IN MEDICAL HIGHER EDUCATION INSTITUTIONS

Durdona Rustam kizi Istamova, Yusufbek Fayzulla ugli Abdullayev, Dildora O'ktamjon kizi Ibragimova, Zebuniso Botirovna Tursunmurodova et al.
Zenodo (CERN European Organization for Nuclear Research)
Innovative Teaching Methods
article

BIOSTATISTICAL EVALUATION OF THE EFFECTIVENESS OF PERSONALIZED LEARNING SYSTEMS IN TEACHING "INFORMATION TECHNOLOGIES" IN MEDICAL HIGHER EDUCATION INSTITUTIONS

Durdona Rustam kizi Istamova, Yusufbek Fayzulla ugli Abdullayev, Dildora O'ktamjon kizi Ibragimova, Zebuniso Botirovna Tursunmurodova, Dinara Kamol kizi Qarshiyeva
article en

Abstract

This study investigates the effectiveness of personalized electronic learning systems in teaching the “Information Technologies in Medicine” course to first-year pharmacy students at a medical higher education institution. The results of the pedagogical experiment were evaluated within the Microsoft Excel environment using biostatistical methods, specifically analysis of variance and Student’s t-test. The empirical findings demonstrated that the academic performance of students in the experimental group, who were taught via the personalized e-system, was statistically significantly higher ($p < 0.05$) compared to the control group taught through traditional methods.

Zenodo (CERN European Organization for Nuclear Research)
Youngstown Neighborhood Development Corporation (United States) (US), Yaroslavl State Technical University (RU), Termez State University (UZ)
Quality Education
Openalex Percentile: Top 3%
Innovative Teaching Methods
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