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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/4486

Title: Application of Educational Technologies and Video Algorithms in Medical University-Varna
Other Titles: Приложение на образователните технологии и видео алгоритмите в Медицински университет-Варна
Authors: Dimitrova, Diana
Bogdanova, Galina
Keywords: Educational Technology
Video Algorithms
Healthcare Education
Issue Date: 24-Jul-2023
Publisher: Institute of Mathematics and Informatics – Bulgarian Academy of Sciences
Citation: Dimitrova, D.; Bogdanova, G. (2023). Application of Educational Technologies and Video Algorithms in Medical University-Varna, Science Series "Innovative STEM Education", volume 05, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, pp. 29-34, DOI: https://doi.org/10.55630/STEM.2023.0504
Series/Report no.: Science Series "Innovative STEM Education", volume 05;04
Abstract: Video-learning (in the form of video films), when properly integrated into the curriculum, can make learning much more engaging and successful for medical and healthcare students. The aim of the present study was to compare the efficacy of learning practical skills (Holter placement) in Nursing students. The students were divided into two groups of 8 students each. The first group was given an algorithm on paper, and the second group - a specially made video film. The results showed that the acquisition of this medical manipulation was more effective in the students having access to the video film. 87.5% of the students who watched the film did well on the post-test, compared to 50% of the second group (P less than 0.05). Students learning through a video lesson show higher satisfaction and retention of knowledge and skills. The results of the current study found that video triggers can be used effectively to capture learners' attention and deliver a visual lesson. However, threshold motivation is required for active learning to be successful.
URI: http://hdl.handle.net/10525/4486
ISSN: 2683-1333
Appears in Collections:STEM, vol.5, 2023

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