Jessica McBroom

Jessica McBroom is a researcher affiliated with the Department of Computer Science at the University of Sydney. Her work focuses on educational data mining, artificial intelligence in education, and programming education equity. She has contributed to automated programming hint systems, student behavior analysis, and gender equity studies in computer science education.

Her research explores how machine learning techniques can improve feedback mechanisms for programming students, analyze learning difficulties, and address systemic biases in education. Key projects include the HINTS Framework for automated hints, the DETECT algorithm for behavioral trends analysis, and studies on gender differences in programming education.

Publications span journals like ACM Computing Surveys and conferences including AIED and EDM, emphasizing applications of data science to education technology. Her work bridges computer science and pedagogy, aiming to enhance scalability and inclusivity in online learning environments.