Vol.10, No.4, November 2021.                                                                                                                                                                           ISSN: 2217-8309

                                                                                                                                                                                                                          eISSN: 2217-8333

 

TEM Journal

 

TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS

Association for Information Communication Technology Education and Science


Video Films in Nursing and Midwifery Teaching – Statistical Study of Dependence

 

Tsveta Hristova, Despina Georgieva

 

© 2021 Tsveta Hristova, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)

 

Citation Information: TEM Journal. Volume 10, Issue 4, Pages 1520-1524, ISSN 2217-8309, DOI: 10.18421/TEM104-04, November 2021.

 

Received: 11 August 2021.

Revised:  08 September 2021.
Accepted: 14 September 2021.
Published: 26 November2021.

 

Abstract:

 

The paper presents educational videos as an interactive method of teaching nursing and midwifery students. As a part of the methods of online education, educational videos transform the learning content into a practical necessity for the formation ofstudents' professional competencies in the considered medical specialties. Correlation analysis identifies the degree of coherence between the observed features: "training with video films" and "professional competencies formation". Using x2statistics, it is decided whether the relationship between two nominal variables is statistically significant and how the strength of the relationship i.e., the extent of the effect, is valued using the coefficients Phi and Cramer’s V. The statistical processing of the performed didactic experiment proves a "strong" correlation between the studied features.

 

Keywords –online education, video films, midwives, nurses students, correlation statistical analysis.

 

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