Benjamin Shih
bshih@cs.cmu.edu
1 st year CALD student
1 st year PIER student

Advisors : Richard Scheines and Ken Koedinger

Research Description : My research focuses on adapting, improving, and applying causal inference techniques to the educational domain. In particular, I am presently performing a causal analysis on some non-experimental data from the Help-Seeking project. The goal is to eventually create tools facilitating simple and informative causal exploration of non-experimental data, especially with regards to the LearnLab.

Interests : Causal inference, machine learning for educational technology, education in non-traditional domains and environments.

Long term goals : I'd like to push educational technology outside of traditional domains, to provide support and scaffolding for learning opportunities far beyond the classroom.