The purpose of this study was to explore student's experiences when practicing information technology skills with an online simulation environment. After using the online simulation environment over a five-week period, 215 undergraduate students were surveyed regarding their usage-related experiences, satisfaction with the environment, and perceived learning. Both quantitative and qualitative data collection methods were employed. The quantitative results suggested that perceived ease of use had a direct effect on student's satisfaction with the online simulation environment, and that the satisfaction with the online simulation environment led to higher perceived learning. The qualitative findings revealed that technical problems, not being able to accomplish the objective of a step due to the precision required by the task, and the inflexibility of certain features of the online simulation environment were the commonly referenced issues, which might have impacted student's satisfaction and their perceived learning.
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http://dx.doi.org/10.1007/s12528-021-09303-0 | DOI Listing |
Wood Sci Technol
January 2025
TU Wien, Institute for Mechanics of Materials and Structures, Karlsplatz 13, Vienna, 1040 Austria.
Unlabelled: Accurate prediction of moisture distributions in wood is among the most critical challenges in timber engineering. Achieving this requires a well-coordinated comparison of experimental methods and simulation tools. While significant progress has been made in developing simulation tools in recent years, a lack of experience with and trust in these tools continues to hinder broader implementation, especially when it comes to free water and its absorption.
View Article and Find Full Text PDFBioinformatics
January 2025
Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, W12 0NN, United Kingdom.
Unlabelled: Metabolomics extensively utilizes Nuclear Magnetic Resonance (NMR) spectroscopy due to its excellent reproducibility and high throughput. Both one-dimensional (1D) and two-dimensional (2D) NMR spectra provide crucial information for metabolite annotation and quantification, yet present complex overlapping patterns which may require sophisticated machine learning algorithms to decipher. Unfortunately, the limited availability of labeled spectra can hamper application of machine learning, especially deep learning algorithms which require large amounts of labelled data.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Key Laboratory for Advanced Coal and Coking Technology of Liaoning Province, University of Science and Technology Liaoning, Anshan 114051, China.
In this study, the mechanisms of SO adsorption on lignite char and char-supported Fe-Zn-Cu sorbent (FZC sorbent) were investigated. The FZC sorbent was prepared by the impregnation of metal components on raw coal followed by steam gasification. Flue gas desulfurization experiments were carried out on a fixed-bed reactor at 100-300 °C by using simulated flue gas containing SO/O/HO balanced by N.
View Article and Find Full Text PDFPLoS One
January 2025
School of Marxism, Central South University, Changsha, China.
Since the dissemination of information is more rapid and the scale of users on online platforms is enormous, the public opinion risk is more visible and harder to tackle for universities and authorities. Improving the accuracy of predictions regarding online public opinion crises, especially those related to campuses, is crucial for maintaining social stability. This research proposes a public opinion crisis prediction model that applies the Grey Wolf Optimizer (GWO) algorithm combined with long short-term memory (LSTM) and implements it to analyze a trending topic on Sina Weibo to validate its prediction accuracy.
View Article and Find Full Text PDFNurs Rep
December 2024
Department of Oncological Urology, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy.
As part of simulation-based learning, it is well known that debriefing plays a crucial role; ineffective debriefing can lead to a reiteration of errors in decision-making and a poor understanding of one's limitations, compromising the learner's psychological safety and making future simulated learning experiences less effective. In Italy, although simulation has been used in nursing education for more than 20 years, there is a general lack of data regarding the elements of debriefing. An exploratory, cross-sectional, multicenter nationwide study was conducted to identify current debriefing practices in Italian simulation-based nursing education.
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