Please welcome Dr. Min Chi to the ISE Department. Chi comes from NC State’s Computer Science Department. She will discuss how to use intelligent learning technologies for individualizing a student’s learning experience.
As always refreshments are available in 428 Daniels Hall 30 minutes before the seminar begins.
The creation of intelligent learning technologies from data has significant potential to transform the American
educational system by providing a low-cost way to adapt learning environments to individual students’ needs and
by informing advanced research on human learning. The goal of this project is to create the technology for a new
generation of data-driven Intelligent Tutoring Systems, enabling the rapid creation of individualized instruction
that supports learning in science, technology, engineering, and mathematics (STEM). The net result of this work
is a modular framework of educational data mining methods that offer student adaptive, individualized support at
multiple granularities, that have been implemented, iteratively refined, and empirically validated for learning
impact and robustness across systems and three STEM domains including logic, probability, and programming,
where building traditional Intelligent Tutoring Systems is extremely challenging. By providing individualized
instruction using data, this project has the potential to make individualized learning support accessible to a broad
audience, including students that are traditionally underrepresented in STEM fields. Ultimately, this project is
about closing the loop by using data-driven policies to support student decision-making and eventually to improve
their long-term problem-solving abilities through hybrid human-machine interactive decision making in vivo
experimentation.
Dr. Min Chi is an Assistant Professor in the Department of Computer Science at North Carolina State
University. She is a nationally and internationally recognized expert in the field of data-driven pedagogical policy
induction for Intelligent Tutoring Systems. Dr. Chi’s research expertise and impact has been recognized through
numerous awards including an NSF CAREER Award, a prestigious Alcoa Foundation Engineering Research
Achievement Award, five Best Paper, Best Student Paper, and Outstanding Paper Awards. Her international
visibility is manifested via a prestigious Executive Committee membership in the International Artificial
Intelligence in Education Society since 2017 and the Program Co-Chair for the 9th International Conference on
Educational Data Mining in 2016.
