The 5E learning cycle model has shown a positive effect on student learning in science education, particularly in courses with theory and practice components. Combining problem-based learning (PBL) with the 5E learning cycle was suggested as a better option for students' learning of theory and practice. The purpose of this study was to compare the effects of the traditional learning method with the 5E learning cycle model with PBL. The control group (n = 78) was subjected to a learning method that consisted of lecture and practice. The experimental group (n = 83) learned by using the 5E learning cycle model with PBL. The results showed that the experimental group had significantly improved self-efficacy, critical thinking, learning attitude, and learning satisfaction. Such an approach could be used in other countries to enhance students' learning of fundamental nursing.
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http://dx.doi.org/10.3928/01484834-20131121-03 | DOI Listing |
Sci Rep
January 2025
Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC, 29209, USA.
Accurately predicting the energy consumption plays a vital role in battery electric buses (BEBs) route planning and deployment. Based on the algebraic derivative estimation, we present a novel method to forecast the energy consumption in real time. In contrast to the mainstream machine-learning-based methods, the proposed method does not require access to the historical energy consumption data.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mathematics and Computer Science, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China.
Urban expansion has triggered significant changes in soil organic carbon (SOC), profoundly affecting the global carbon cycle. The accurate prediction of the global distribution of urban SOC and assessment of the impact of future urban expansion on SOC are essential for urban soil carbon management. By using data from 377 urban locations, this study estimated the global distribution of urban SOC and projected future SOC changes under two socioeconomic scenarios: SSP126 and SSP585.
View Article and Find Full Text PDFJ Psychiatr Res
January 2025
Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, 52246, USA; Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, 52246, USA; Yale Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA. Electronic address:
Prenatal stress is a risk factor for neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD). However, how early stress modification of brain development contributes to this pathophysiology is poorly understood. Ventral forebrain regions such as dorsal striatum are of particular interest: dorsal striatum modulates movement and cognition, is altered in NDDs, and has a primarily GABAergic population.
View Article and Find Full Text PDFPLoS Biol
January 2025
Department of Neuroscience, University of Minnesota, Minneapolis, Minnesota, United States of America.
Worrying about perceived threats is a hallmark of multiple psychological disorders including anxiety. This concern about future events is particularly important when an individual is faced with an approach-avoidance conflict. Potential goals to approach are known to be represented in the dorsal hippocampus during theta cycles.
View Article and Find Full Text PDFJ Phys Ther Educ
January 2025
Introduction: This study examines the ability of human readers, recurrence quantification analysis (RQA), and an online artificial intelligence (AI) detection tool (GPTZero) to distinguish between AI-generated and human-written personal statements in physical therapist education program applications.
Review Of Literature: The emergence of large language models such as ChatGPT and Google Gemini has raised concerns about the authenticity of personal statements. Previous studies have reported varying degrees of success in detecting AI-generated text.
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