Yang Victoria Shao

Yang Victoria Shao serves as a Teaching Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois. Her work bridges engineering education with technological innovation to enhance student learning experiences in STEM fields.

Dr. Shao's research focuses on engineering education methodologies, particularly in improving STEM content accessibility through innovative approaches. Her work spans concept mapping techniques, machine learning applications for educational content, and alternative content-delivery methods including video demonstrations. She investigates how these approaches impact student understanding, retention, and overall learning outcomes in undergraduate ECE courses.

Her recent publications reveal a strong emphasis on addressing accessibility challenges in mathematical and STEM content for engineering students. She examines student needs, develops machine learning models to improve content delivery, and explores faculty mentoring as a pathway to student success. Her research integrates educational theory with practical engineering applications, creating bridges between pedagogical innovation and technical subject matter.

Dr. Shao actively collaborates with colleagues across multiple disciplines, as evidenced by her co-authorship on numerous conference papers and contributions to engineering education research. Her work appears primarily in ASEE (American Society for Engineering Education) publications and focuses on practical, implementable solutions for engineering educators.