Suzanne White Brahmia, PhD.

I am passionate about physics learning as a human endeavor, which drives my research, my teaching and my service. My work is built on a foundation that everyone, regardless of their background or the identities they hold, can be given a fair shot to experience the thrill of success with understanding physics.

Our team explores mathematization in physics: Novice-to-expert transition, symbolizing, graphical reasoning, quantification, proportional reasoning, negativity, covariational reasoning, and inventing with contrasting cases. Our areas of mathematization research and development include:

• Curricular intervention: development of lecture, homework and assessment activities that help students develop physics quantitative literacy with arithmetic through advanced calculus; AI-partnered learning activities; student-designed experiments using both real and virtual reality in the physics laboratory.
• Frameworks: development of physics expert frameworks of signed vector and scalar quantity, proportional reasoning specifically, and covariational reasoning more generally
• Technology-mediated learning: exploration at the frontiers of potential and limitation of VR- and AI-mediated learning
• Assessment: developed the PIQL reasoning inventory and its underlying framework and analysis targeted at pre-calculus mathematics level, and the algebra-based version (GERQN)

Enjoy the journey!