131-140 of 192 results
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Ab initio computation of gas radiation properties for re-entry flow simulations
PI Eric Perrell
CO-I Fanny Thomas
CO-I Spatika Iyengar
Renewed interest in planetary atmospheric entry, descent, and landing underscores the need for improved physics modeling in computational fluid dynamics. From a recent NASA solicitation, “the current state of the art for predicting aerothermal environments for planetary entry are dependent on physical models and underlying numerical methods that are, in many cases, two to five decades old.” Uncertainty in experimental data used in radiation heat transfer computations leads to, “over-engineering” of entry body heat shields, at a large weight and cost penalty. A method for computing gas emissivity and absorptivity from quantum mechanics principles is developed.
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Mobile Technology in Higher Education: An Extended Technology Acceptance Perspective
PI Dennis Pires
PI Leila Halawi
The study provides an important theoretical framework for decision-making for educational institutions as they seek improvement in user acceptance of technology in the higher education setting. The study adds to the knowledge in the field of information technology by providing statistical research that uses path analysis to disentangle the various causal processes underlying the acceptance of technology in higher education. In this study, the research addresses the following question: Are the constructs of perceived resources, perceived ease of use, perceived usefulness, and attitude towards use significant predictors of educators’ acceptance of mobile technology in higher education as defined by actual use?
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What Differentiates Superior Performing Aviation and Aerospace Leaders
PI Linda Pittenger
The requirements of leaders today are radically different than just a couple years ago. Leaders need to be able to manage change, think critically, act globally, think technologically, and successfully lead a diverse workforce. Specific behavioral competencies may distinguish superior performing leaders from average performing leaders
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Matrix Analysis and Operator Theory
PI Edward Poon
Matrices and operators are ubiquitous throughout science, engineering, and mathematics; they are the transformations that arise whenever one studies a linear system (or approximates a nonlinear system by a linear one). Examples include rotations and reflections (rigid motions of space), spin operators (quantum mechanics and quantum computing), stress tensors (mechanics), regression and curve fitting (statistics and data analysis), derivatives and linear differential operators (dynamical systems), to name just a few. By studying various properties, relations, and transformations of matrices and operators one may obtain insight into a wide range of phenomena.
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UAV-based tools in forest environments
PI Scott Post
Measuring turbulent wind forces in forests to understand the forces on UAVs in flight, with a goal of being able to keep a UAV in position to mm tolerance.
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Astronomy
PI Pragati Pradhan
CO-I Brian Rachford
CO-I Noel Richardson
Astronomy is one of the oldest sciences, as people have been observing and learning from the stars for thousands of years. Astronomy has expanded beyond visible light to include the full spectrum of electromagnetic waves, from radio to x-rays and gamma rays, as well as cosmic messengers beyond the electromagnetic spectrum.
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Investigate Detect and Avoid Track Classification and Filtering
PI Richard Prazenica
CO-I Troy Henderson
CO-I Morad Nazari
CO-I Tyler Spence
This research will identify key sources of uncertainty in representative detect and avoid architectures and assess the downstream risks and effects of spurious information on downstream system performance
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Argumentative Knowledge Construction in Asynchronous Calculus Discussion Boards
PI Zackery Reed
CO-I Darryl Chamberlain
CO-I Karen Keene
Social learning tasks can provide additional cognitive benefits to students. These tasks are necessarily different in an asynchronous environment though. Our proposed study will investigate how instructors can encourage students to socially construct knowledge during asynchronous discussions.
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Aerodynamic Modeling of Ram-Air Parachutes
PI Mark Ricklick
CO-I Richard Anderson
CO-I Angelo Andres Fonseca Pazmino
CO-I Christian Alexis Guzman Zurita
The focus of this project is the investigation in flight performance of ram-air parachutes using Computational Fluid Dynamics (CFD). The modeling of a ram-air parachute presents challenges in the prediction of the in-flight geometry, as there is a strong interaction between the flow field and parachute structure. Methods were developed to approximate the geometry and efficiently model the parachute as a rigid body.
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Researching How You Teach Holistic Modeling (RHYTHM)
PI Kelsey Rodgers
CO-I Matthew Verleger
CO-I Lisa Davids
"Models are a critical part of the analysis and design of engineered systems. The purpose of multiple types of models (physical, mathematical, computational, and financial) is to provide a simplified representation of reality that mimics the features of the engineered system, and that predicts the behavior of the system. This project, a collaboration between Embry-Riddle Aeronautical University, San Jose State University, and the University of Louisville, aims to improve engineering students' modeling competence. The project plans to achieve this goal by transforming first-year engineering courses to teach modeling as an engineering tool. The project will change existing course materials, pedagogy, and assessment methods across the three institutions. Each institution will implement its own specific strategy to teach mathematical, physical, computational, and financial modeling, thus providing three different approaches. By comparing student's modeling abilities across the institutions and approaches, the project aims to identify the most impactful approaches for teaching multiple modeling in introductory undergraduate engineering courses.
The project is guided by a "holistic modeling perspective" theoretical framework, that builds on the successful "Models and Modeling Perspective" and "Computational Adaptive Expertise" frameworks. The objectives of the project are to: (1) implement, test, and refine holistic modeling environments for institutions that have flexibility in changing curriculum and for instructors that have different degrees of interest in changing their course(s); (2) implement, test, and refine methods to assess students' modeling abilities; and (3) evaluate and present the results of modeling abilities attained by students at three different universities. A unified language and discussion around modeling will be adopted in all revised courses. An assessment tool to measure students' modeling competence will be developed and implemented at each university. This work builds upon existing research in the development of more easily adaptable and adoptable modeling pedagogies and modeling languages. The following broad research question guides the research: How do students' definitional knowledge, ability to apply, and ability to create models change based on different degrees of modeling integration in the classroom?
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria."
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131-140 of 192 results