Emily Jensen

Emily Jensen is an Assistant Professor of Computer Science at Franklin & Marshall College. She holds a joint Ph.D. in Computer Science and Cognitive Science from the University of Colorado Boulder (2024), with earlier degrees from Case Western Reserve University (B.S. Mathematics and B.A. Cognitive Science, 2018). Her research focuses on developing adaptive training systems for psychomotor tasks by integrating educational theory with computational tools like machine learning and formal methods. She emphasizes practical platforms such as web applications and video games for skill acquisition.

Her work has been presented at venues like the Human-Agent Interaction Conference (2024) and the Human-Robot Interaction Conference (2023). Recent projects include automated feedback systems for teacher discourse analysis and predictive models of student performance in online learning environments. She advocates for transparent academic career paths and shares application documents and career insights on her website.

Key research areas include human-robot interaction, skill assessment, and formative feedback mechanisms. Her publications span topics from psychomotor training in teleoperation to emotion differentiation in emerging adults. While no explicit awards are listed, her active participation in interdisciplinary workshops and conferences highlights her collaborative approach to research.

Emily Jensen advises no listed students but collaborates on grants related to adaptive training systems and educational technology. Her work bridges computational methods with cognitive science, aiming to improve human performance through technology-enhanced learning environments.