Sungwon Shin, Ph.D. is an Associate Professor of Instructional Technology whose research explores instructional design, technology-integrated learning, and student-centered pedagogies such as inquiry-based, project-based, and collaborative learning. She has led numerous externally funded projects, including NSF EAGER (#2335681), NSF IUSE (#2417379), and the TEA Case Library, advancing innovative instructional models and sustainable digital learning resources. Dr. Shin is passionate about broadening STEM participation and integrating social issues into STEM education, working extensively with K–12 teachers and students through professional development and STEM camps, and with engineering students on ethical and social awareness. She also serves on the leadership team of NSF ERC CASFER(#2133576), contributing to education and workforce development initiatives.
About Us
This project is funded by the National Science Foundation Improving Undergraduate STEM Education (IUSE) program, Award #2417379. The project focuses on designing and evaluating an innovative undergraduate course: Cyber-Aerial Computing – Design and Implementation.
Using a Design-Based Research (DBR) approach, we integrate Flipped Project-Based Learning (FPBL) to teach embedded programming using drone technology. Our mission is to enhance student learning, practical engagement, and ethical awareness around privacy and security in cyber-aerial computing.
Meet Our Team
Meet the educators, researchers, and collaborators contributing to the Cyber-Aerial Computing project.
Principal Investigators
Sunho Lim, Ph.D., is an Associate Professor in the Department of Computer Science at Texas Tech University. Before joining TTU, he was an Assistant Professor in the Department of Electrical Engineering and Computer Science at South Dakota State University. His primary research interests are in the areas of Cyber Aerial Computing, Data Privacy, and AI/ML-Motivated Wireless Networks and Mobile Computing.
MoreMihwa Park, PhD, is an associate professor of Science and STEM Education. Her research interests include the development of measurement instruments, teacher and student identity, epistemic emotions, and student reasoning and conceptual understanding.
MoreResearchers
Burcu Stone is a program manager at Texas Tech University Online and a doctoral candidate in the Department of Instructional Technology at Texas Tech University. Her research focuses on student-centered instructional approaches, including game-based learning, blended and personalized learning, and project-based learning, as well as online course design and design-based research in higher education.
MoreDeniz Bulut is a doctoral student and research assistant in the Instructional Technology program at Texas Tech University. Her research interests include teacher education, instructional design, technology integration, and teacher–AI collaboration. She also has professional experience in instructional design, educational technology, and the development of online and blended learning experiences.
MoreFelix Mule is a doctoral student and research assistant in the Educational Instructional Technology Program at Texas Tech University. He has previously worked in the cloud computing world, specifically with AWS.
MoreSarah Fadillah is a Doctoral student in STEM Education program at The Department of Curriculum and Instruction, Texas Tech University. Her research interests include intrapersonal factors influencing students’ learning, formative assessment, and teacher professional identity.
MoreEvans Kurgat is a Doctoral student in Education Instructional Technology at Texas Tech University and currently serves as a Research Assistant in the School of Education. His main research interests include Computational Linguistics, Natural Language Processing, Machine Learning, Education Technology & Instructional Design, Second Language Acquisition, and AI in Language Education.
MoreBeyza Yoldaş is a Doctoral student in Instructional Technology at Texas Tech University and currently works as a Graduate Research Assistant in the College of Education. With seven years of professional teaching experience in science education, her primary research interests center on AI applications in education and STEM education, mental modeling, and the integration of emerging technologies.
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