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Articles 1 - 14 of 14
Full-Text Articles in Physical Sciences and Mathematics
‘‘Can I Drop It This Time?’’ Gender And Collaborative Group Dynamics In An Engineering Design-Based Afterschool Program, Jessica Schnittka, Christine Schnittka
‘‘Can I Drop It This Time?’’ Gender And Collaborative Group Dynamics In An Engineering Design-Based Afterschool Program, Jessica Schnittka, Christine Schnittka
Journal of Pre-College Engineering Education Research (J-PEER)
The 21st century has brought an increasing demand for expertise in science, technology, engineering, and math (STEM). Although strides have been made towards increasing gender diversity in several of these disciplines, engineering remains primarily male dominated. In response, the U.S. educational system has attempted to make engineering curriculum more engaging, informative, and welcoming to girls. Specifically, project-based and design-based learning pedagogies promise to make engineering interesting and accessible for girls while enculturating them into the world of engineering and scientific inquiry. Outcomes for girls learning in these contexts have been mixed. The purpose of this study was to explore how …
Quantifying Terrestrial Ecosystem Carbon Dynamics With Mechanistically-Based Biogeochemistry Models And In Situ And Remotely Sensed Data, Shaoqing Liu
Open Access Dissertations
Terrestrial ecosystem plays a critical role in the global carbon cycle and climate system. Therefore, it is important to accurately quantify the carbon dynamics of terrestrial ecosystem under future climatic change condition. This dissertation evaluates the regional carbon dynamics by using upscaling approach, mechanistically-based biogeochemistry models and in situ and remotely sensed data.
The upscaling studies based on FLUXNET network has provided us the spatial and temporal pattern of the carbon fluxes but it fails to consider the atmospheric CO2 effect given its important physiological role in carbon assimilation. In the second chapter, we consider the effect of atmospheric CO2 …
Computational Environment For Modeling And Analysing Network Traffic Behaviour Using The Divide And Recombine Framework, Ashrith Barthur
Computational Environment For Modeling And Analysing Network Traffic Behaviour Using The Divide And Recombine Framework, Ashrith Barthur
Open Access Dissertations
There are two essential goals of this research. The first goal is to design and construct a computational environment that is used for studying large and complex datasets in the cybersecurity domain. The second goal is to analyse the Spamhaus blacklist query dataset which includes uncovering the properties of blacklisted hosts and understanding the nature of blacklisted hosts over time.
The analytical environment enables deep analysis of very large and complex datasets by exploiting the divide and recombine framework. The capability to analyse data in depth enables one to go beyond just summary statistics in research. This deep analysis is …
Detangling The Interrelationships Between Self-Regulation And Ill-Structured Problem Solving In Problem-Based Learning, Xun Ge, Victor Law, Kun Huang
Detangling The Interrelationships Between Self-Regulation And Ill-Structured Problem Solving In Problem-Based Learning, Xun Ge, Victor Law, Kun Huang
Interdisciplinary Journal of Problem-Based Learning
One of the goals for problem-based learning (PBL) is to promote self-regulation. Although self-regulation has been studied extensively, its interrelationships with ill-structured problem solving have been unclear. In order to clarify the interrelationships, this article proposes a conceptual framework illustrating the iterative processes among problem-solving stages (i.e., problem representation and solution generation) and self-regulation phases (i.e., planning, execution, and reflection). The dynamics of the interrelationships are further illustrated with three ill-structured problem-solving examples in different domains (i.e., information problem solving, historical inquiry, and science inquiry). The proposed framework contributes to research and practice by providing a new lens to examine …
Transforming Schools Using Project-Based Learning, Performance Assessment, And Common Core Standards, D. Mark Weiss, Brian R. Belland
Transforming Schools Using Project-Based Learning, Performance Assessment, And Common Core Standards, D. Mark Weiss, Brian R. Belland
Interdisciplinary Journal of Problem-Based Learning
No abstract provided.
Exploring Regional And Telecoupled Land Use Change Impacts From Environmental Shocks, Kevin Hill, Liz Wachs, Brady Hardiman, David Yu, Shweta Singh
Exploring Regional And Telecoupled Land Use Change Impacts From Environmental Shocks, Kevin Hill, Liz Wachs, Brady Hardiman, David Yu, Shweta Singh
The Summer Undergraduate Research Fellowship (SURF) Symposium
Natural disasters or environmental shocks have the potential to disrupt local agricultural systems as well as distant agricultural systems through cascading effects. In this work we selected two distinct environmental shocks and traced their cascading effects on land use change. Quantifying cascading effects is a salient issue because climate change forecasts indicate an increase in frequency and intensity of global environmental shocks. This study incorporated the concept of telecoupled systems involving interrelating ecological, economic and political/social components. A telecoupled framework involving cascading effects was implemented using three approaches. The first approach involved using bilateral agricultural trade matrix data to analyze …
Passive Visual Analytics Of Social Media Data For Detection Of Unusual Events, Kush Rustagi, Junghoon Chae
Passive Visual Analytics Of Social Media Data For Detection Of Unusual Events, Kush Rustagi, Junghoon Chae
The Summer Undergraduate Research Fellowship (SURF) Symposium
Now that social media sites have gained substantial traction, huge amounts of un-analyzed valuable data are being generated. Posts containing images and text have spatiotemporal data attached as well, having immense value for increasing situational awareness of local events, providing insights for investigations and understanding the extent of incidents, their severity, and consequences, as well as their time-evolving nature. However, the large volume of unstructured social media data hinders exploration and examination. To analyze such social media data, the S.M.A.R.T system provides the analyst with an interactive visual spatiotemporal analysis and spatial decision support environment that assists in evacuation planning …
Tool Comparison Of Semantic Parsers, Robert Hinh
Tool Comparison Of Semantic Parsers, Robert Hinh
Open Access Theses
Natural Language Processing (NLP) is a vital aspect for artificial intelligence systems to achieve integration into human lives, which has been a goal for researchers in this industry. While NLP focuses on an array of problems, semantic parsing will be specifically focused on throughout this paper. These parsers have been considerably targeted for improvement through the scientific community and demand for semantic parsers that achieve high accuracy has increased. There have been many approaches developed for this specific purpose and in this paper, a deep analysis was performed to compare the performance of semantic parsing systems. The implications of this …
Focusing On Selection For Fixation, John K. Tsotsos, Calden Wloka, Yulia Kotseruba
Focusing On Selection For Fixation, John K. Tsotsos, Calden Wloka, Yulia Kotseruba
MODVIS Workshop
Building on our presentation at MODVIS 2015, we continue in our quest to discover a functional, computational, explanation of the relationship among visual attention, interpretation of visual stimuli, and eye movements, and how these produce visual behavior. Here, we focus on one component, how selection is accomplished for the next fixation. The popularity of saliency map models drives the inference that this is solved; we suggested otherwise at MODVIS 2015. Here, we provide additional empirical and theoretical arguments. We then develop arguments that a cluster of complementary, conspicuity representations drive selection, modulated by task goals and history, leading to a …
Zephyr: A Social Psychology-Based Mobile Application For Long-Distance Romantic Partners, Dhiraj Bodicherla
Zephyr: A Social Psychology-Based Mobile Application For Long-Distance Romantic Partners, Dhiraj Bodicherla
Open Access Theses
Long-distance romantic relationships have become quite common nowadays. With CMC tools advancing day-by-day, their usage among LDRs is proliferating rapidly. Attachment-related anxiety and avoidance can block the ability to enjoy happy relationships. During such situations, remembering happy past moments can be comforting. In this study a mobile chat application that enables LDR couples to reminisce about happy moments was developed. This study primarily focuses on evaluating the usability of this mobile application using survey-based methods. System Usability Scale was considered to discuss the outcome of the study. The overall results provide useful recommendations for further improvements in the design of …
A History Of African And South American Basins, Rebecca A. Bobick
A History Of African And South American Basins, Rebecca A. Bobick
Open Access Theses
As hydrocarbon development in Africa and South America continues to expand, understanding the geologic evolution as well as the geologic symmetry of each of the continent's coastal basins grows increasingly important. Unfortunately, there's currently no comprehensive database that contains the stratigraphic record, depositional environments, and tectonic evolution available for either Africa or South America. Therefore, the goal of my research is to create an extensive datapack and guide booklet for Africa's major sedimentary basins, complete the South America datapack that's currently being constructed, and correlate the western African conjugate basins to the eastern South American conjugate basins. To accomplish this, …
An Evaluation Of Noise Reduction Strategies At Large Commercial Airports In The United States: A Policy Analysis And Framework Classification, Tyler Spence
Open Access Dissertations
Noise pollution from aircraft, specifically in the vicinity of airports as aircraft takeoff and land, is a problem that has been shown to have negative impacts on the welfare of humans, animals, and the surrounding environment. The problem may only become worse as air travel increases for cargo and passenger operations, populations increase, and the overall number of aircraft increase. Currently, guidance has been issued from the International Civil Aviation Organization on how to combat the issue of noise pollution through policy, both at that national regulatory level, and at the local airport level. This study evaluated the local airport …
Managing Your Professional Identity: Leveraging Social Media And Emerging Metrics To Demonstrate Professional Impact, Megan R. Sapp Nelson
Managing Your Professional Identity: Leveraging Social Media And Emerging Metrics To Demonstrate Professional Impact, Megan R. Sapp Nelson
Libraries Faculty and Staff Presentations
This session will assist graduate students to deliberately develop an online professional identity that will uniquely identify them as an academic as well as positively highlight their personal strengths.
Students will walk away with a plan to create a unique professional identifier and an understanding of how to measure the impact of online scholarly communication.
Topics included are:
ORCID ID
social media, such as LinkedIn & ResearchGate
Alternative Metrics (Altmetrics), such has Kudos, ImpactStory, & AltMetric
Data repositories, such as GitHub & FigShare
Electric Power And The Global Economy: Advances In Database Construction And Sector Representation, Jeffrey C. Peters
Electric Power And The Global Economy: Advances In Database Construction And Sector Representation, Jeffrey C. Peters
Open Access Dissertations
The electricity sector plays a crucial role in the global economy. The sector is a major consumer of fossil fuel resources, producer of greenhouse gas emissions, and an important indicator and correlate of economic development. As such, the sector is a primary target for policy-makers seeking to address these issues. The sector is also experiencing rapid technological change in generation (e.g. renewables), primary inputs (e.g. horizontal drilling and hydraulic fracturing), and end-use efficiency. This dissertation seeks to further our understanding of the role of the electricity sector as part of the dynamic global energy-economy, which requires significant research advances in …