معرفی
Rebeckah Fussell is a researcher in the Physics department at Cornell University, affiliated with the Center for Physics Education Research (CPERL) under Natasha Holmes. She focuses on applying machine learning to advance Physics Education Research (PER), analyzing student interactions in labs, and assessing educational technologies' reliability and bias. Her work bridges PER with computational methods, emphasizing trustworthy AI applications and interdisciplinary research.
She contributes to the Graduate and Undergraduate Programs in Physics at Cornell, offering expertise in lab instruction design and educational data analysis. Her research explores student epistemic framing, open-structure lab courses, and the ethical implications of machine learning in education.
Recent articles highlight her focus on large language models for student assessment, bias mitigation in multi-institutional studies, and hybrid forecasting in chaotic systems. While no specific awards are listed, her publications underscore contributions to improving educational methodologies through computational tools.
Rebeckah collaborates within the CPERL research group and the CDER Physics program. No specific grants or advising details are publicly noted, though her involvement in PER methodology and educational technology signals active engagement in both research and teaching capacities.
