Embry–Riddle Aeronautical University

Embry-Riddle Aeronautical University
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    21593 research outputs found

    Leveraging Artificial Intelligence in Education to Drive Cross-Sector Innovation

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    As artificial intelligence (AI) reshapes educational practices, particularly in technical fields such as uncrewed systems, robotics, and aviation/ aerospace, its integration raises promise and complexity. This exploratory study features an investigation of the impact AI tools adoption has on instruction, curriculum support, and workforce preparation, with a focus on online learning environments. Drawing from pilot survey data across aviation and aerospace education stakeholders and hands-on evaluation of AI video production platforms, findings reveal diverse applications, perceived benefits, and critical concerns, including ethical, pedagogical, and institutional challenges. Additionally, the analysis explored how AI-enabled education intersects with broader industry and government innovation goals, emphasizing the need for intentional alignment, ethical safeguards, and capacity-building. The authors offer recommendations to promote responsible AI use in education and enhance its value across sectors

    Northward Expansion of Mangroves: Drivers, Ecological Impacts, and Proposed Research

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    Coastal wetland habitats, including mangroves and salt marshes, provide invaluable ecological and economic benefits to shorelines. However, climate changes, such as increases in temperature, the frequency and intensity of tropical storms, and sea level rise, pose major threats to these habitats. This study synthesizes findings from peer-reviewed studies published between 2009 and 2024 regarding mangrove migration and coastal wetland dynamics across the Gulf of Mexico and the southern Atlantic coast of North America. Literature focused on the northward and inland expansion of mangrove forests into salt marsh habitats using remote sensing data, as well as identifying environmental cues that drive these shifts. Reviewed studies showed evidence that mangrove expansion and poleward migration correlated with a reduction in hard freezes and propagule dispersal driven by tropical storms. Additionally, mangrove migration has begun encroaching on salt-marsh habitats, where mangroves are more likely to outcompete salt marshes in the event of rising sea levels. However, most studies lacked long-term climate records or high-resolution remote sensing data, limiting their ability to assess historical changes or predict future trends. To address these gaps, my research proposes using high-resolution remote sensing data and long-term climate data to confirm mangrove expansion and salt marsh conversion and evaluate the link to regional weather trends along the eastern coast of Florida. Loss of salt marsh habitat to mangroves impacts the functionality and resilience of coastal habitats in terms of fishery nurseries, carbon storage, biodiversity, and coastal erosion. Understanding the driving factors and implications of mangrove migration and expansion is crucial for conserving coastal wetlands and developing proper management and adaptation strategies under climate change

    Generative AI Use & Sentiment– Spring 2025 Survey

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    Comprehensive analysis of faculty and student engagement with generative AI tools in our Spring 2025 survey, revealing adoption patterns, confidence levels, and institutional readiness

    Student Perspectives on AI-Enabled Tools for Adaptive Learning

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    Artificial Intelligence (AI) is increasingly influencing the delivery of higher education, especially in aviation technical disciplines. From AI-assisted gimbals and video production tools to generative AI platforms, these technologies are helping learners to engage with course material, accomplish objectives, and connect academic concepts with professional applications. By offering pathways for personalization, streamlining resource access, and supporting interactive instruction, AI tools expand opportunities for effective learning. This work builds on a current collaborative research project with a faculty researcher to explore the student perspective in the active review and application of these tools to highlight their potential to improve usability, address diverse learning preferences, and refine teaching strategies. Outcomes from this work are anticipated to guide ethical and purposeful adoption of AI in technical education, strengthening student engagement, enhancing achievement, and balancing opportunities with awareness of risks, limitations, and responsibilities across educators, learners, and industry stakeholders

    Turning Language Into Insight: How AI and Forensic Linguistic Analysis Are Transforming Investigations

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    Language is the fabric of human thought and communication, subtle, layered, and deeply revealing. When scrutinized, it can offer far more than simple testimony; it can hold the keys to motive, identity, intent, contradiction, and context. Traditionally, law enforcement has focused on fingerprints, DNA, surveillance, and physical evidence to solve crimes. Yet one of the most untapped wells of intelligence lies between the lines of written statements from suspects, witnesses, and victims. Now, with the advent of advanced artificial intelligence (AI) and the sophisticated science of forensic linguistics, investigators have powerful new tools to mine language for insights that were once only accessible to expert analysts

    Panel #3: Emerging Industry Advances

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    Panel #3: Emerging Industry Advances Showcases the latest industry-driven innovations in aerospace and cybersecurity, including AAM security, AI-driven security, zero trust architectures, and quantum cryptography. Moderator: Anne Boettcher (ERAU) Panelists: • Sanjay Bajekal (Collins Aerospace) • Frederick Jones (Raytheon Technologies Research Center) • Sivaraman Mani (Honeywell Aerospace) • Nayyar Rao (Honeywell Aerospace) • Stefan Schwindt (GE Aviation

    Panel #4: Cyber Intelligence and Incident Response

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    Panel #4: Cyber Intelligence and Incident Response Explores cyber threat intelligence, risk forecasting, and threat actor analysis, highlighting how AI, data analytics, and collaboration improve threat detection and mitigation. Moderator: Jon Haass (ERAU) Panelists: • Levi Gundert (Recorded Future) • Riley Montgomery (FBI) • Stephen Thomas (NIRT

    From Behind The Door\u27s Window To The Cockpit\u27s Window

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    This personal essay, From Behind the Door to Behind the Cockpit Window, reflects on a journey of transformation from working as a flight attendant to pursuing the dream of becoming a pilot. Growing up in Singapore, my aspirations of flight seemed unattainable due to academic struggles, but a career in aviation reignited those dreams. Inspired by breathtaking moments, such as viewing Mount Fuji from an airplane window, and a pivotal conversation when i met with a pilot on a 5th freedom flight, I embark on a new path through Embry-Riddle Aeronautical University. This story explores resilience, the power of perspective, and the determination to redefine my perceived limits

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