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360-Degree Video for Cardiopulmonary Resuscitation (CPR) Knowledge: Preliminary Data of a Randomized Controlled Trial

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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference (MIS4TEL 2023)

Abstract

360-degree video is a type of video defined as immersive. Unlike traditional video (2D video), the use of particular viewers (Head Mounted Display - HMD), allow to experience the feeling of being immersed in the scene. Therefore, 360-degree videos can offer a higher level of presence than traditional videos. This study aimed to evaluate the effectiveness of the 360-degree video to improve Cardiopulmonary Resuscitation (CPR) knowledge, satisfaction, and self-confidence in learning in nursing students compared with standard video (2D). This study was a multi-site randomized controlled trial conducted in three different nursing schools in Rome (Italy), with first-year nursing students. Students were randomly assigned into two groups: 360-video or standard video (2D), and completed a CPR knowledge test, after and before the intervention, and the Student Satisfaction and Self-Confidence in Learning, after the intervention. Ninety-six students participated, mostly were female (71.88%), with a mean age of 20.8 (SD ± 3.70) years in a range from 18 to 40 years. Difference in knowledge was not statistically significant. Results of Satisfaction and Self-Confidence were statistically significant. The 360-degree videos could have many advantages, especially in nursing education, but further research is necessary to explore its effectiveness in terms of learning outcomes, as well as how to improve their educational potentiality.

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Acknowledgements

This study was funded by the Center of Excellence for Nursing Scholarship, Rome.

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Correspondence to Andrea Gazzelloni .

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All authors declare no conflicts of interest in this paper.

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Gazzelloni, A. et al. (2023). 360-Degree Video for Cardiopulmonary Resuscitation (CPR) Knowledge: Preliminary Data of a Randomized Controlled Trial. In: Kubincová, Z., Caruso, F., Kim, Te., Ivanova, M., Lancia, L., Pellegrino, M.A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-031-42134-1_28

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