I am a research fellow at the University of Michigan School of Information. Prior to this, I worked as a digital learning postdoctoral associate researcher at MIT. My primary research focus is to advance a theoretical and methodological understanding of self-regualted learning (SRL) skills through machine learning, educational theory, and learner-centered design. I believe SRL skills, such as metacognitive thinking, are even more crucial in this AI erea. Outside of my research, I enjoy listening to K-pop while walking around here and there.

Jul. 2024

Our work was accpeted to the 2024 annual meeting of Academic Data Science Alliance (ADSA)! Stay tuned for our lightening talk on associations between sociodemographic backgrounds of students and generative AI uses!

May. 2024

I am happy to work again at the University of Michigan as a research fellow, where I met so many great people!

Oct. 2023

I am thrilled to share that I will give a talk at the Cornell University, the Department of Information Science! Check out "Advancing Learning Analytics: Insights from Trace and Survey Data on Self-Regulated Learning" on October 17, at 3:30pm (ET) if you are around!

Oct. 2023

Our LWMOOCs'23 paper is nominated for the Best Paper award! I appreciate so much to my co-authors! Stay tuned for 'Meta-LAD: Developing a Learning Analytics Dashboard With Theoretically Grounded and Context-Specific Approaches' in the upcoming proceedings!

Aug. 2023

I am thrilled to present a talk titled "Upskilling SCM Professionals through Online Learning" for the MIT CTL Supply Chain Exchange August Monthly Briefing!

Jun. 2023

My LWMOOCs paper 'Meta-LAD: Developing a Learning Analytics Dashboard With Theoretically Grounded and Context-Specific Approaches' got accepted!

Jun. 2023

My book chapter 'Reconfiguring Measures of Motivational Constructs Using State-Revealing Trace Data' co-authored with Prof. Chris Brooks and Prof. Phil Winne has been published!

Mar. 2023

I will give a talk on my research to Department of Instructional Design, Development and Evaluation at Syracuse University, School of Education.

Feb. 2023

My paper 'The benefit of reflection prompts for encouraging learning with hints in an online programming course' got accepted to The Internet and Higher Education journal.

Jan. 2023

I am excited to give a talk 'Meta-LAD: A Dashboard Supporting SRL' to Open Learning, MITx Digital Learning Lab.

Dec. 2022

LAK'23 paper 'Logs or Self-Reports? Misalignment Between Behavioral Trace Data and Surveys When Modeling Learner Achievement Goal Orientation' got accepted.

Jun. 2022

I won the MITili grant for the Meta-LAD project I proposed!

May. 2022

I started working at Massachusetts Institute of Technology, Center for Transportation and Logsitics as a digial learning postdoctoral associate.

Apr. 2022

I received my PhD in Information at University of Michgian, School of Information.

2022 - Present

Massachusetts Institute of Technology
Digital learning postdoc associate

2016 - 2022

University of Michigan
PhD in Information

2014 - 2016

Seoul National University
M.S. in Cognitive Science

2009 - 2014

Seoul National University
B.A. in English Education (Summa Cum Laude)