Purpose: Improving students’ self-confidence is an important strategy in simulation learning. This study aimed to identify the factors influencing students’ self-confidence in simulation learning based on the Jeffries Simulation Framework. Method: A cross-sectional survey was conducted with 140 senior nursing students’ at a university, and data were collected through self-reported questionnaires. Data on students’ self-confidence were collected for student/ facilitator factors (satisfaction on major, overall grade average, and facilitator satisfaction), educational practice factors (active learning, collaboration, diverse ways of learning and educational goals), and simulation design characteristics factors (objectives/information, support, problem solving, feedback, and fidelity). Data were analyzed using an independent t-test, one-way ANOVA, Pearson’s correlation, and hierarchical multiple regression analysis. Results: The regression model had an adjusted R2 of .61, indicating that education goal, active learning, facilitator satisfaction, and fidelity were significant predictors of students’ self-confidence in simulation learning. Conclusion: To increase students' self-confidence with simulation learning strategies, it is necessary to design lessons that include educational goals, active learning, improved student satisfaction with the facilitator and fidelity based on the Jeffries Simulation Framework.

Purpose: This study aimed to construct and test a hypothetical model to explain predictive factors affecting nursing students' satisfaction and self-confidence in simulation-based education based on the National League for Nursing Jeffries Simulation Theory. Methods: A cross-sectional study was conducted on 305 fourth-year nursing students with experience in simulation-based education enrolled at universities in Gangwon-do, Gyeongsangbuk-do, and Gyeonggi-do. Data were analyzed using SPSS 25.0 and AMOS 25.0. Results: The hypothetical model showed good fit with the empirical data: χ2/df 2.17, RMSEA=.01, RMR=.01, GFI=.95, AGFI=.91, NFI=.94, TLI=.95, CFI=.97, and PNFI=.68. Simulation design characteristics, teaching efficiency, and flow were found to affect satisfaction and self-confidence directly. A bootstrap test indicated that teaching efficiency and flow mediated the relationship between simulation design characteristics and satisfaction and self-confidence. Conclusion: Simulation educators should apply best practice that enhance teaching efficiency and flow through well-organized simulation designs, nursing students can attain satisfaction and self-confidence through simulation-based education.

Purpose: This study aims to describe the experience of nursing students who used a virtual simulation program for their nursing practicum. Method: Structured debriefing papers were collected from 65 senior nursing students using a convenient sampling method for this qualitative study. Conventional content analysis method was used for data analysis. Results: The study’s findings derived three theme clusters. The theme clusters were “satisfied by leading role in nursing practice and repetitive training,” “gained nursing responsibility and confidence in applying the learning into clinical practice,” and “recognized the limitations of customized nursing care.” Conclusion: The results of this study provided insight into nursing students' virtual simulation-based practical training experiences in the context of the Coronavirus disease-19 (COVID-19) pandemic.

In order to investigate remotely the behavior and distribution of fishes, the telesounder system which was composed of two parts with a buoy station at sea and a base station on land was manufactured trial. The buoy station at sea consists of fishfinder, transmission interface and transceiver. On the other hand, the base station on land consist of transceiver, receiving interface, trigger/signal separator and color display monitor. The system simulation for the performance of telesounder was carried out by use of echo simulator which could input echo signal into fishfinder. The received power (dBm) of transceiver at 29.4MHz decreased almost in proportion to distance between transmitter and receiver, and the electric field intensity was 12.12mV/m at 100 meters distance from transmitter. The image of color display monitor at the base station on land was very well coincident with the records of fishfinder from the buoy station located at sea. Therefore, it is concluded that the telesounder system is very useful in the analysis of the information on the behavior and the distribution of fishes detected from sea