Cardoso Karen, Zaro Milton Antônio
Universidade Federal do Rio Grande do Sul - UFRGS/ Programa de Pós-graduação em Informática na Educação (PPGIE)-Porto Alegre, Brasil. Universidade Federal do Rio Grande do Sul Universidade Federal do Rio Grande do Sul - UFRGS/ Programa de Pós-graduação em Informática na Educação (PPGIE) Porto Alegre Brazil.
Int J Psychol Res (Medellin). 2024 Aug 30;17(2):76-83. doi: 10.21500/20112084.7361. eCollection 2024 Jul-Dec.
The objectives of this study were to develop the Laboratory of Immersive Learn ing in Health and Nursing - LIASE, based on the main themes of biosafety in health, and to evaluate the learning process of undergraduate nursing students from a public federal university through portable Electroencephalogram (EEG) Emotiv Insight 2.0, observation, and Intrinsic Motivation Inventory. The present research contains a qualitative-quantitative, exploratory, and experimental methodology from a pilot virtual laboratory, developed in the Immersive Virtual World - IVW, represented in this study by Second Life - SL. The sample consisted of 17 students who agreed with the inclusion criteria of the study. Among them, 9 students had stable EEG signals. Those students were observed during the monitoring of brain activity by the EEG, and at the end of the proposed learning pathway, they filled out the Intrinsic Motivation Inventory (IMI). The results were obtained through triangulation of the different collec tion instruments and the following variables: Stress, Enthusiasm/Excitement, Engagement, Focus/attention, and Relaxation, measured and verified by the Emotiv algorithm's brain wave analysis, which algorithm which correspond to the metrics of brain performance.
本研究的目的是基于健康领域生物安全的主要主题,建立健康与护理沉浸式学习实验室(LIASE),并通过便携式脑电图(EEG)Emotiv Insight 2.0、观察和内在动机量表,评估一所公立联邦大学护理专业本科学生的学习过程。本研究采用定性-定量、探索性和实验性方法,来自于在沉浸式虚拟世界(IVW)中开发的试点虚拟实验室,本研究中以第二人生(SL)为代表。样本包括17名符合研究纳入标准的学生。其中,9名学生有稳定的脑电图信号。在通过脑电图监测大脑活动期间对这些学生进行观察,并在拟定的学习路径结束时,让他们填写内在动机量表(IMI)。结果是通过对不同收集工具以及以下变量进行三角测量得出的:压力、热情/兴奋、参与度、专注度/注意力和放松程度,这些变量由Emotiv算法的脑电波分析测量和验证,该算法对应于大脑表现指标。