Startseite The Relation of Satisfaction, Self-Confidence and Emotion in a Simulated Environment
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The Relation of Satisfaction, Self-Confidence and Emotion in a Simulated Environment

  • Leandro Mano ORCID logo EMAIL logo , Alessandra Mazzo , Jose Rodrigues Torres Neto ORCID logo , Cezar Kayzuka Cotta Filho ORCID logo , Vinicius Pereira Goncalves ORCID logo , Jo Ueyama ORCID logo und Gerson Alves Pereira Junior
Veröffentlicht/Copyright: 23. Februar 2019

Abstract

Clinical simulation allows discussions about improving the quality on the patient’s care. This method have effectiveness on what concerns to satisfaction, self-confidence and student motivation. However, during the assessment, the students have emotional reactions that have tended to be overlooked. In view of this, this article seeks to identify and describe the relationship of the emotions observed by facial expressions and assess their degree of satisfaction and self-confidence by carrying out simulated practices among the nursing students. The analysis based on the scales showed high satisfaction and self-confidence levels, and it was found that the predominant basic emotion was anger, which is caused by other correlated emotions like tension and stress. This divergence between the identified emotions opens up space for further investigations about the level of motivation and the stimulus tolearning that these emotions can provide, and the extent to which they can lead to satisfaction and self-confidence.

Funding statement: This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo, Funder Id: 10.13039/501100001807, Grant Number: 2016/04261-1, 2015/21642-6, 2016/14267-7 and 2017/

References

Almeida, R. G. D. S., Mazzo, A., Martins, J. C. A., Pedersoli, C. E., Fumincelli, L., & Mendes, I. A. C. (2015). Validation for the portuguese language of the simulation design scale. Texto & Contexto-Enfermagem, 24(4), 934–940. doi:10.1590/0104-0707201500004570014Suche in Google Scholar

Atkinson, A., & Adolphs, R. (2005). Visual emotion perception: Mechanisms and processes. In L. Feldman-Barret, P. M. Niedenthal, & P. Winkielman (Eds.), Emotion and consciousness (pp. 150–184 ). New York: Guilford Press.Suche in Google Scholar

Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175. http://psycnet.apa.org/record/1990-01275-00110.1037/0003-066X.44.9.1175Suche in Google Scholar

Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117–148. doi:10.1207/s15326985ep2802_3Suche in Google Scholar

Baptista, R. C. N., Martins, J. C. A., Pereira, M. F. C. R., & Mazzo, A. (2014a). Simulação de alta-fidelidade no curso de enfermagem: Ganhos percebidos pelos estudantes. Revista de Enfermagem Referência, (1), 135. doi:10.12707/RIII13169Suche in Google Scholar

Baptista, R. C. N., Martins, J. C. A., Pereira, M. F. C. R., & Mazzo, A. (2014b). Students’ satisfaction with simulated clinical experiences: Validation of an assessment scale. Revista latino-americana de enfermagem, 22(5), 709–715. doi:10.1590/0104-1169.3295.2471Suche in Google Scholar

Cahill, L., & Alkire, M. T. (2003). Epinephrine enhancement of human memory consolidation: Interaction with arousal at encoding. Neurobiology of Learning and Memory, 79(2), 194–198. doi:10.1016/S1074-7427(02)00036-9Suche in Google Scholar

Compton, R. G., Davis, F. J., & Grant, S. C. (1986). The anodic oxidation of poly (N-vinylcarbazole) films. Journal of Applied Electrochemistry, 16(2), 239–249. https://link.springer.com/article/10.1007/BF0109335610.1007/BF01093356Suche in Google Scholar

Ekman, P. (1973). Cross-cultural studies of facial expression. In P. Ekman (Ed.), Darwin and facial expression: A century of research in review. New York: Academic Press.Suche in Google Scholar

Ekman, P. (Ed.). (2006). Darwin and facial expression: A century of research. New York: Academic Press, 1973.Suche in Google Scholar

Ekman, P., & Cordaro, D. (2011). What is meant by calling emotions basic. Emotion Review, 3(4), 364–370. doi:10.1177/1754073911410740Suche in Google Scholar

Ekman, P., & Friesen, W. V. (1969). The repertoire of nonverbal behavior: Categories, origins, usage, and coding. semiotica, 1(1), 49–98. doi:10.1515/semi.1969.1.1.49Suche in Google Scholar

Ellsworth, P. C., & Scherer, K. R. (2003). Appraisal processes in emotion. Handbook of Affective Sciences, 572, V595.Suche in Google Scholar

Fanning, R. M., & Gaba, D. M. (2007). The role of debriefing in simulation-based learning. Simulation in Healthcare, 2(2), 115–125. doi:10.1097/SIH.0b013e3180315539Suche in Google Scholar PubMed

Frijda, N. H. (1986). The emotions: Studies in emotion and social interaction. Paris: Maison de Sciences de l’Homme.Suche in Google Scholar

Halstead, J. A., Green, P. M., & Speziale, H. (2005). Core competencies of nurse educators with task statements. New York, NY: National League for Nursing Publications.Suche in Google Scholar

Hom, W. C. (2002). Applying customer satisfaction theory to community college planning of counseling services. IJournal. https://eric.ed.gov/?id=ED481317Suche in Google Scholar

Jeffries, P. R. (2016). The NLN Jeffries simulation theory. Philadelphia: National League for Nursing.Suche in Google Scholar

Kotler, P., & Roberta N. C. (1987). Marketing for health care organizations. Englewood Cliffs, N.J.: Prentice Hall.Suche in Google Scholar

Lubbers, J., & Rossman, C. (2017). Satisfaction and self-confidence with nursing clinical simulation: Novice learners, medium-fidelity, and community settings. Nurse Education Today, 48, 140–144. doi:10.1016/j.nedt.2016.10.010Suche in Google Scholar PubMed

Mano, L. Y., Faiçal, B. S., Nakamura, L. H., Gomes, P. H., Libralon, G. L., Meneguete, R. I., & Ueyama, J. (2016). Exploiting IoT technologies for enhancing health smart homes through patient identification and emotion recognition. Computer Communications, 89, 178–190. doi:10.1016/j.comcom.2016.03.010Suche in Google Scholar

Mano, L. Y., Giancristofaro, G. T., Faiçal, B. S., Libralon, G. L., Pessin, G., Gomes, P. H., & Ueyama, J. (2015). Exploiting the Use of Ensemble Classifiers to Enhance the Precision of User’s Emotion Classification. In Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS) p. 5. ACM. DOI: 10.1145/2797143.2797165Suche in Google Scholar

Parkinson, B. (1995). Ideas and realities of emotion. London and New York: Routledge.Suche in Google Scholar

Perry, P. (2011). Concept analysis: Confidence/Self‐confidence. Nursing Forum, 46(4), 218–230. Blackwell Publishing Inc. doi:10.1111/j.1744-6198.2011.00230.xSuche in Google Scholar PubMed

Plutchik, R. 2003. Emotions and life: Perspectives from psychology, biology, and evolution. Baltimore: United Book Press. doi:10.1080/02642060802123400Suche in Google Scholar

Saragih, J. M., Lucey, S., & Cohn, J. F. (2011). Deformable model fitting by regularized landmark mean-shift. International Journal of Computer Vision, 91(2), 200–215. doi:10.1007/s11263-010-0380-4Suche in Google Scholar

Scherer, K. R. (2005). What are emotions? And how can they be measured?. Social Science Information, 44(4), 695–729. doi:10.1177/0539018405058216Suche in Google Scholar

Schwabe, L., Joëls, M., Roozendaal, B., Wolf, O. T., & Oitzl, M. S. (2012). Stress effects on memory: An update and integration. Neuroscience & Biobehavioral Reviews, 36(7), 1740–1749. doi:10.1016/j.neubiorev.2011.07.002Suche in Google Scholar PubMed

Stemmler, G. (2003). Methodological considerations in the psychophysiological study of emotion. Handbook of Affective Sciences, 37, 225.Suche in Google Scholar

White, K. A. (2009). Self‐confidence: A concept analysis. Nursing Forum, 44(2), 103–114. Blackwell Publishing Inc. doi:10.1111/j.1744-6198.2009.00133.xSuche in Google Scholar

Received: 2018-02-27
Revised: 2019-02-01
Accepted: 2019-02-12
Published Online: 2019-02-23

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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