Conference Session

Software Engineering Division (SWED) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mohit Chandarana, Codio; Sindhu Ramachandra, Codio; Joshua Ball, Codio; Maura Lyons, Codio; Phillip Snalune, Codio

Tagged Divisions

Software Engineering Division (SWED)

CS education. We recommend educatorsguide students in leveraging custom, context-specific assistants to improve learning and developcritical AI application skills.IntroductionLarge Language Models (LLMs) enable educational platforms to support students throughadvanced tools with real-time personalized feedback, guidance, and engagement mechanisms.By employing methods like retrieval-augmented generation (RAG), LLMs are increasingly ableto overcome challenges related to scalability and handling unexpected or unforeseen inputs, asare often experienced with intent-based chatbots [1]. RAG-powered assistants demonstratesignificantly improved performance in terms of response accuracy, adaptability, and studentsatisfaction [2].This study examines

Conference Session

Software Engineering Division (SWED) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Edward F. Gehringer, North Carolina State University at Raleigh; David Mond, North Carolina State University at Raleigh; jack liu

Tagged Divisions

Software Engineering Division (SWED)

improvements in code structure, readability, anddesign adherence, while also identifying limitations in current LLM capabilities.1. IntroductionOpen-source software (OSS) projects play a pivotal role in software engineering education by offeringstudents real-world coding experience. However, these projects often suffer from poor design and highmaintenance costs due to students' limited engagement and adherence to software design principles.Students, constrained by time and struggling to understand the codebase, often structure code poorly andplace functionality in the wrong classes, making the codebases harder to interpret and maintain. Thisstudy investigates the application of Large Language Models (LLMs), such as GPT-4, in enhancing OSSprojects. We

Conference Session

Software Engineering Division (SWED) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mike Borowczak, University of Central Florida; Andrea Carneal-Burrows Borowczak, University of Central Florida

Tagged Divisions

Software Engineering Division (SWED)

support reflective learning andcommunication in computing courses [1].The goal of this work is twofold: 1. Provide a retrospective analysis of a novel instructional model, offering sufficient detail for other educators to adopt, adapt, or extend the approach. 2. Demonstrate the effectiveness of this modified instructional approach in addressing stagna- tion in content delivery, preparing students for the rapidly evolving field of computer science.In a field as rapidly changing as computer science, modifications to the methods of instruction mayhelp intrinsically prepare students for this rapidly changing ecosystem.Theoretical FrameworkConstructivism as an educational theoretical framework has often been applied to the sub-field

Conference Session

Software Engineering Division (SWED) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Ashley Rea, Embry-Riddle Aeronautical University - Prescott; Taylor Alexis Hobbs, Embry-Riddle Aeronautical University - Prescott; Chanel Davis, Embry-Riddle Aeronautical University - Prescott; Abigail Sophia Clerget, Embry-Riddle Aeronautical University - Prescott

Tagged Topics

Diversity

Tagged Divisions

Software Engineering Division (SWED)

exploration of non-traditional educational environments1. IntroductionSoftware engineering and STEM fields face persistent challenges with diversity, equity, andinclusion. For example, while women make up 56% of students enrolled in undergraduatedegrees, women account for only 22% of the students in engineering programs. This numberdrops even further in the workforce, where women comprise only 15.9% of the engineeringindustry [1]. Consequently, the industry of equity-focused coding education grew rapidly fromthe 2010s until 2024, leading to the creation of coding bootcamps, workshops, and community-based coding education specifically designed to increase the participation of women in tech [2],[3]. Recent funding shortages in 2024 and anti-DEI

Conference Session

Software Engineering Division (SWED) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

David Li, University of Maryland College Park; Houbing Herbert Song, University of Maryland Baltimore County

Tagged Divisions

Software Engineering Division (SWED)

Paper ID #45882GPS Spoofing on UAV Simulation using ArdupilotDavid Li, University of Maryland College ParkProf. Houbing Herbert Song, University of Maryland Baltimore County Houbing Herbert Song (M’12–SM’14-F’23) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012. He is currently a Professor, the Founding Director of the NSF Center for Aviation Big Data Analytics (Planning), the Associate Director for Leadership of the DOT Transportation Cybersecurity Center for Advanced Research and Education (Tier 1 Center), and the Director of the Security and