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Displaying 205-216 of 436 Results

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Human Behavior during Spaceflight - Evidence from an Analogue Environment

  • PI Guy Smith

    CO-I Jennifer Thropp

  • This study will examine the effects of the space environment on human performance during long-term space travel. An artificial environment will be created as an analogue of a space travel environment (specifically, an orbital environment). Relationships between earth and space environments (e.g. feelings of isolation, energy, motivation, mood etc.) will be measured.
Human Behavior While Living and Working in a Space Environment: Evidence from an Analogue Space Habitat

  • PI Guy Smith

  • This study is a follow-on to this research. This research is designed to study different aspects of the role of space participant, compared to the astronaut or space mission specialist.
Human Factors Awareness Training for FAA Aviation Safety Specialists Within Aircraft Certification and FAA Flight Standards

  • PI Scott Martin

  • In this project, which is funded by the FAA, Embry‑Riddle and Kent University will develop training for individuals within the FAA’s Aviation Safety Flight Standards Service who have expertise and job responsibilities related to the evaluation of aircraft systems design, maintenance, operations, procedures and pilot performance.
Humanistic STEM: Blending Humanities and STEM to Increase Undergraduate Student Engagement, Knowledge, and Skills

  • PI Debra Bourdeau

  • NSF IUSE #2120807

I

ICARUS Drone Net

  • PI Samuel Siewert

    CO-I Iacopo Gentilini

    CO-I Mehran Andalibi

    CO-I Stephen Bruder

  • 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. 

Ice Cloud Parameterizations and Aircraft Icing

  • PI Dorothea Ivanova

  • Ice and mixed phase clouds have an important impact on aviation, but they are often poorly represented in the models.
Identifying Cost-Effective Security Barrier Technologies for K-12 Schools: An Interdisciplinary Evaluation

  • 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.
If at first you do not succeed: the student benefits of multiple trials on summative assessments.

  • 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.
Implementing Active Learning Techniques in an Undergraduate Aviation Meteorology Course

  • 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. 
Improved Image Processing for Orbit Estimation

  • 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.
Improving Undergraduate Student Persistence, Performance, and Perspectives in Online STEM Courses via a Community of Inquiry and Decreasing Students' Cognitive Load

  • 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.
In Service Performance of Pipe to Structure Connections

  • 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.