Yang Shi is a Ph.D. Candidate and Goodnight Doctoral Fellow at North Carolina State University. He has been working towards building data-driven methods to enhance the ability of Intelligent Tutoring Systems and benefit student modeling processes. With a focus on the computing education discipline, his research interests also include Cognitive Science, Software Engineering, and Machine Learning. He has been serving as a co-organizer in CSEDM 20-23 workshops and a program committee (PC) member in conferences across multiple disciplines including EDM, LAK, KDD, AAAI, EAAI, SIGCSE, and ITICSE.

  • Computing Education Research
  • Educational Data Mining
  • Machine Learning
  • M.S. in Computer Science, 2017

    University of Georgia

  • B.Eng. in Automation, 2015

    Central South University