Using Student Annotated Hashtags and Emojis to Collect Nuanced Affective States. - Amy X. Zhang; Michele Igo; Marc T. Facciotti; David R. Karger (L@S, 2017)

Classifying and visualizing students' cognitive engagement in course readings. - Eran Yogev; Kobi Gal; David R. Karger; Marc T. Facciotti; Michele Igo (L@S, 2018)

#Confused and beyond: detecting confusion in course forums using students' hashtags. - Shay A. Geller; Nicholas Hoernle; Kobi Gal; Avi Segal; Amy X. Zhang; David R. Karger; Marc T. Facciotti; Michele Igo (LAK, 2020)

Seeding Course Forums using the Teacher-in-the-Loop. - Einat Shusterman; Hyunsoo Gloria Kim; Marc T. Facciotti; Michele Igo; Kamali Sripathi; David R. Karger; Avi Segal; Kobi Gal (LAK, 2021)

New Methods for Confusion Detection in Course Forums: Student, Teacher, and Machine. - Shay A. Geller; Kobi Gal; Avi Segal; Kamali Sripathi; Hyunsoo Gloria Kim; Marc T. Facciotti; Michele Igo; Nicholas Hoernle; David R. Karger (IEEE Trans. Learn. Technol., 2021)

Spotlights: Designs for Directing Learners' Attention in a Large-Scale Social Annotation Platform. - Jumana Almahmoud; Farnaz Jahanbakhsh; Marc T. Facciotti; Michele Igo; Kamali Sripathi; Kobi Gal; David R. Karger (Proc. ACM Hum. Comput. Interact., 2022)

Enhancing User Engagement in Large-Scale Social Annotation Platforms: Community-Based Design Interventions and Implications for Large Language Models (LLMs). - Jumana Almahmoud; Marc T. Facciotti; Michele Igo; Kamali Sripathi; David R. Karger (CoRR, 2025)