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Students believed physics was one of the most challenging sciences in education, and their interest in learning physics was lacking. Therefore, this study aims to enhance students' understanding and creativity in the STEAM learning system on electricity by creating a project (Paper Circuit) using the students' creativity at the junior high school level - quantitative research with a pre-experimental design used for this study. The population is 8th grade and 9th grade (50 students adapted to the curriculum used in the school) in one of the Junior Secondary Schools located in Bandung and Cimahi, Indonesia. The data is obtained from the pretest-posttest results, which show that the average pre-test score was 57.04 and the post-test score was 76.64. The nonparametric test was tested using the Wilcoxon test to measure student understanding. The results from e Wilcoxon are 0.000, which shows sig. <0.05, which means there is a significant difference between pre-test and post-test. Students' creativity is obtained from the Creativity Product Analysis Matrix (CPAM), and the result for Project 1 is 73.71%, categorized as enough, and Project 2 is 83.13%, categorized as good. Based on the result, Paper Circuit STEAM project-based learning can enhance student understanding and creativity. STEAM project-based learning can be used as an alternative teaching strategy in junior secondary school.

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This article demonstrates how data from a biology paper, which analyzes the relationship between mass and metabolic rate for two species of marine bryozoan, can be used to teach a variety of regression topics to both introductory and advanced students. A thorough analysis requires intelligent data wrangling, variable transformations, and accounting for correlation between observations. The bryozoan data can be used as a valuable class example throughout the semester, or as a dataset for extended homework assignments and class projects. Supplementary materials for this article are available online.

Carbon emissions from the Yangtze River Economic Belt are an important element of China's carbon emission endeavor, and a study of its emission reduction pathway can provide a reference for the country's overall management of carbon emission reduction. From the perspective of energy consumption, this paper uses the carbon emission factor method to estimate the carbon emissions of the transportation industry in the Yangtze River Economic Belt during 2006–2020, based on the extended STIRPAT model, considering the influence of seven factors, i.e., population size, urbanization rate, GDP per capita, transportation added value, energy structure, energy intensity, and transportation intensity, on carbon emissions. Based on these factors, a scenario analysis, combined with a forecasting model, is used to predict the peak carbon performance of the transportation industry under different development scenarios. The results show that the overall carbon emissions of transportation in the YEB from 2006 to 2020 show a fluctuating upward trend, and the downstream carbon emissions are significantly higher than those in other regions. The main factors influencing carbon emissions from transportation in different upstream, midstream, and downstream regions vary, with both population and economic factors contributing to carbon emissions, while technical factors affect them differently. There are significant differences in the peak carbon performance of transportation under different development scenarios, and the government should take effective measures to work towards achieving the goals of the low-carbon or enhanced low-carbon scenarios. [ABSTRACT FROM AUTHOR]

Literature on student ideas about circuits largely focuses on misunderstandings and difficulties, with seminal papers framing student thinking as stable, difficult to change, and connected to incorrect ontological categorizations of current as a thing rather than a process. In this paper, we analyzed 417 student responses to a conceptual question about electric circuits using a lens consistent with resources theory. We found that though indicators of substance-based reasoning about current are common in student responses, this reasoning is not predictive of other difficulties reported in the literature, such as "current is consumed" or "the battery is a constant source of current." We also found that students use substance-based reasoning in resourceful ways, suggesting that substance-based reasoning may in fact be a productive starting place for instruction on circuits.

A global transition to low-carbon, resource-efficient economies is occurring in response to risks posed by climate change and environmental degradation. Hydrogen is proposed as a zero-carbon substitute for natural gas with the potential to reduce carbon emissions in homes and businesses. Trades, including gasfitting, will be affected by the transition to a low-carbon economy and require upskilling to develop competencies to work with hydrogen to ensure safety and support domestic uptake. Understanding the training needs of trades practitioners is essential to the successful transition to a zero-carbon economy. This paper presents findings from a qualitative study of Australian gasfitters, exploring what motivates gasfitters to participate in training, what informs their ongoing learning and what their preferences are for hydrogen training. Most gasfitters are either self-employed or work in small businesses, and, as such, this context presents both challenges and opportunities to consider in upskilling strategies. Drawing on interview findings and literature on small business learning, the paper presents considerations to inform training approaches and policies in the transition to hydrogen and also, more broadly, for upskilling other small trade businesses similarly affected by a shift to low-carbon and green technologies.

The aim of the present study was to assess the energy-, environmental-, and climate change literacy among primary and middle school students in selected cities of Ethiopia. This survey study was conducted in primary and middle schools found in six cities and involved a total of 1589 students. The finding indicate that the participants of the study had a very good awareness about principles underlying generation and use of energy but performed much poorly in items related to awareness about impacts of climate change. The paper also concluded that students' views about issues related to generation and use of energy cannot be considered as favorable. On the other hand, the results on practices related to energy use and environmental protection reveal that participants reported pro-energy and environmental practice. Interestingly, the practice of participants doesn't seem to align with the generally unfavorable attitude towards energy generation and climate change. Therefore, it is advised that primary and middle schools offer a thorough education on energy and environmental education because these levels of instruction have a special role to play in raising awareness of and developing skills and attitudes related to environmental and climate change education.

Internet of Things (IoT) architectures generally focus on providing consistent performance and reliable communications. The convergence of IoT, edge, fog, and cloud aims to improve the quality of service of applications, which does not typically emphasize energy efficiency. Considering energy in IoT architectures would reduce the energy impact from billions of IoT devices. The research presented in this paper proposes an optimization framework that considers energy consumption of nodes when selecting a node for processing an IoT request in edge-fog-cloud layered architecture. The IoT use cases considered in this paper include smart grid, autonomous vehicles, and eHealth. The proposed framework is evaluated using CPLEX simulations. The results provide insights into mechanisms that can be used to select nodes energy-efficiently whilst meeting the application requirements and other network constraints in multi-layered IoT architectures. [ABSTRACT FROM AUTHOR]