Emily Jensen


Hi there, I’m Emily!

I’m a Ph.D. Candidate in the Department of Computer Science and the Institute of Cognitive Science at CU Boulder advised by Sriram Sankaranarayanan and Brad Hayes. In general, I’m interested in using autonomous systems to teach people complex tasks. You can read a formal write-up of my work on my docs page.

One of my goals is to maintain a life outside of academia; depending on the day, you can find me drinking tea, reading dystopian novels, knitting, running or hitting the trails (sometimes at the same time), and messing around on my piano. I also sporadically post an open notebook of sorts on this site to show that goals, motivation, and progress through academia (and life) isn’t anywhere close to linear.

As someone with interests at the intersection of a lot of different fields, I really struggled through the graduate school application process. On top of that, I didn’t know what to look for in a program or what the daily life of a graduate student looked like. If you have questions about these as well, I would be happy to chat about my experience or connect you with someone else.


Apr 30, 2024 I gave an overview of my recent work in AI-generated feedback for psychomotor tasks to the CU Boulder Engineering’s “Conversations on Generative AI” series.
Mar 11, 2024 I have two workshop papers accepted at this year’s Human-Robot Interaction conference.
Jan 1, 2024 I accepted a tenure-track position at Franklin & Marshall College’s Computer Science department!
Jun 14, 2023 I gave a seminar talk on my recent work in skill assessment at the MIRRORLab at Colorado School of Mines.
May 24, 2023 My collaborators and I organized a workshop at CPS-IoT Week called Humans in Cyber-Physical Systems Safe Teleoperation through Shared Control

Selected Publications

  1. Toward Automated Feedback on Teacher Discourse to Enhance Teacher Learning
    Jensen, Emily, Dale, Meghan, Donnelly, Patrick J., Stone, Cathlyn, Kelly, Sean, Godley, Amanda,  and D’Mello, Sidney K.
    In 2020 CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2020) 2020
  2. What You Do Predicts How You Do: Prospectively Modeling Student Quiz Performance Using Activity Features in an Online Learning Environment
    Jensen, Emily, Umada, Tetsumichi, Hunkins, Nicholas C., D’Mello, Sidney K., Hutt, Stephen,  and Huggins-Manley, A. Corinne
    In LAK21: 11th International Learning Analytics and Knowledge Conference (LAK21) 2021
  3. Large Language Models Enable Automated Formative Feedback in Human-Robot Interaction Tasks
    Jensen, Emily, Sankaranarayanan, Sriram,  and Hayes, Bradley
    In Human-Large Language Model Interaction workshop at the 2024 ACM/IEEE International Conference on Human-Robot Interaction Mar 2024