Yuliia Rudenko

Work place: Sumy Professional College of Economics and Trade, Ukraine

E-mail: yango641@ukr.net

Website: https://orcid.org/0000-0003-3162-1216

Research Interests: Computer Networks, Network Architecture


Yuliia Rudenko is currently working at the Sumy professional College of Economics and Trade. She is head of the Department of finance, accounting, and IT. She received a scientific degree in Pedagogy (Education Theory). Her scientific interests: IT in education, modern teaching methods, gaming learning technologies, computer communication, and digital etiquette.

Author Articles
Analysis of the Results of the Pedagogical Experiment on the Integrated Analysis of the Average and Dispersions

By Vira Petruk Yuliia Rudenko Artem Yurchenko Inna Kharchenko Serhii Kharchenko Olena Semenikhina

DOI: https://doi.org/10.5815/ijmecs.2022.06.03, Pub. Date: 8 Dec. 2022

Pedagogical scientists often need to process the results of a pedagogical experiment. However, not every scientist (especially in humanitarianism) has appropriate mathematical training, so statistical data processing is a problem for him. Scientists-pedagogues in Ukraine use various statistical methods to process the results of a pedagogical experiment and face the problem of cumbersome calculations and the accuracy of assessments. Therefore, we developed a method that is based on the correct mathematical apparatus, simplifies the processing of empirical data, and allows us to draw qualitative conclusions without the explicit use of mathematical apparatus. To simplify the statistical analysis of the results of the pedagogical experiment and the interpretation of the obtained data, the authors suggest using a spreadsheet and analyzing the data according to Student's and Fisher's criteria (comparing the average sample and its variance) and controlling intermediate indicators of the results of the pedagogical experiment. The method developed by the authors has an advantage compared to other methods: it is enough to analyze the pair "mean and variance" for the sample to conclude the significance of the differences in the control and experimental groups. The method has a simple implementation since almost every researcher has a spreadsheet processor on his computer. The method does not require a thorough knowledge of the statistics course. The method guarantees more reasonable conclusions (two criteria are used at once), which is important when conducting a pedagogical experiment.

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