Agathe Merceron

Agathe Merceron is a Professor at Beuth University of Applied Sciences Berlin, leading the online Media Informatics Bachelor and Master programs. She specializes in Educational Data Mining, Learning Analytics, and Technology-Enhanced Learning. Her research focuses on analyzing student performance, predicting academic success/dropout, and developing tools like the LeMo application for learning process monitoring. She chairs the Media Informatics committee at the Virtual University of Applied Sciences (VFH) and has contributed to EU projects like PROMIS and DiSEA.

• Research projects: DiSEA (dropout factors in online degrees), mEDUator (educational platform), fMOOC (wearable learning for seniors), and LeMo (learning analytics).
• Editorial roles: Associate Editor of the Journal of Educational Data Mining (JEDM) and member of STICEF editorial board.
• Professional memberships: ACM, GI Learning Analytics Group, International Educational Data Mining Society.

Her work bridges data science with education, emphasizing practical applications in course recommendation systems, adaptive learning environments, and analyzing large-scale educational datasets.