Displaying 217-228 of 442 Results
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PI Debra Bourdeau
- NSF IUSE #2120807
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PI Samuel Siewert
CO-I Iacopo Gentilini
CO-I Mehran Andalibi
CO-I Stephen Bruder
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Drone Net is a conceptual architecture to integrate passive sensor nodes in a local sensor network along with traditional active sensing methods for small Unmanned Aerial Systems traffic management. The goal of the proposed research architecture is to evaluate use of multiple passive sensor nodes integrating Electro-Optical/Infrared and acoustic arrays networked around a UAS Traffic Management operating region (Class G uncontrolled airspace). The Drone Net approach will be compared to and/or used in addition to RADAR and Automatic Dependent Surveillance-Broadcast tracking and identification. We hypothesize that this approach can better manage non-compliant small UAS along with compliant UAS and general aviation in sensitive airspace, urban locations, and geo-fenced regions.
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PI Dorothea Ivanova
- Ice and mixed phase clouds have an important impact on aviation, but they are often poorly represented in the models.
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PI Thomas Foley
CO-I Reginald Parker
CO-I Michele Gazica
CO-I Brooke Shannon
CO-I Erin Bowen
CO-I Muna Slewa
CO-I Michael Brady
CO-I Richard Rodriguez
CO-I Perry Feder
- This study proposes to test and collect data on the effectiveness of commonly used physical security systems in delaying intruders. The purpose of this study is to support the design of better physical security systems for schools. The study will also gather data on parent and teacher perceptions of the quality of security in schools.
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PI Emily Faulconer
CO-I John Griffith
CO-I Hayden Frank
- This paper explores the combination of multiple attempts on assessments with immediate feedback through the LMS. The data reveals that students who do not earn an A are likely to use additional attempts and they tend to do better on future attempts.
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PI Daniel Halperin
PI Joseph Keebler
CO-I Robert Eicher
CO-I Thomas Guinn
CO-I Kim Chambers
- Student feedback from end-of-course evaluations repeatedly indicated a desire to change the format of the course by de-emphasizing the PowerPoint-based lectures. The goal of the present study was to determine whether including a set of new active-learning techniques in an Aviation Weather course would result in better student understanding (as measured by exam scores) and make the course more engaging (as measured by end-of-course evaluations). During 2018-19, three instructors implemented five different active-learning techniques into their classes (i.e., the experimental group), while two instructors continued to use the unrevised course materials (i.e., the control group). The new active-learning techniques, described below, included daily quizzes, polling questions, flipped classroom sessions, in-class activities, and assertion-evidence-based lectures. All sections used the same assignments and exams, allowing for direct assessment of the effectiveness of the active-learning techniques. Analyses of Variance (ANOVA) tables were used to determine the statistical significance of the differences in exam scores. Indirect assessments in the form of end-of-course evaluations were also examined.
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PI Troy Henderson
- This project seeks to improve orbit estimation methods using advanced image processing techniques applied to images from ground and space-based telescopes.
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PI Emily Faulconer
CO-I Darryl Chamberlain
CO-I Beverly Wood
- This project aims to serve the national interest in high-quality undergraduate STEM education by designing and studying a pilot program to improve online discussion forums in STEM courses. The goal of the project is to positively impact student persistence, performance, and perspectives in asynchronous online STEM courses.
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PI Payal Kotecha
- Dr. Kotecha was awarded a research grant for $200,000 from the Florida Department of Transportation to investigate pipe-to-structure connections.
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PI Fady Barsoum
CO-I Arka Das
CO-I Heidi Steinhauer
CO-I William Engblom
CO-I Chad Rohrbacher
- This project aims to introduce and implement ANSYS computer modeling and simulation tools into the Engineering Programs at Embry-Riddle.
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PI Emily Faulconer
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The purpose of this work was to develop additional teaching strategies to increase student interaction with and awareness of the student
learning objectives. The influence of these targeted strategies on student perception of both the clarity of learning objectives and their overall connection to the course activities and deliverables was measured using an end-of-course evaluation (EOCE) with Likert-scale responses.
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PI Anke Arnaud
- Educators are continuously concerned with developing innovative and effective teaching methodology to increase student learning and engagement. This study is designed to assess the effectiveness of an innovative instructional methodology, using a TV series to teach and develop leadership understanding, skills and knowledge.