Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform. - David Y. J. Kim; Adam Winchell; Andrew E. Waters; Phillip Grimaldi; Richard G. Baraniuk; Michael Mozer (iTextbooks@AIED, 2020)

Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention. - David Y. J. Kim; Tyler R. Scott; Debshila Basu Mallick; Michael C. Mozer (iTextbooks@AIED, 2021)

Assessing Affective Engagement with Narratives of Invisible Disability. - Daniel T. Kessler; David Y. J. Kim; Grace S. Ahn; Neska ElHaouij; Rosalind W. Picard (ACII, 2023)

Digital Art Therapy with Gen AI: Mind Palette. - Daeun Yoo; David Y. J. Kim; Elisandra Lopes (ACIIW, 2023)

AI-Augmented Feature to Edit and Design Mobile Applications. - Ashley M. Granquist; David Y. J. Kim; Evan W. Patton (MobileHCI (Companion), 2023)

Redefining Computer Science Education: Code-Centric to Natural Language Programming with AI-Based No-Code Platforms. - David Y. J. Kim (CoRR, 2023)

App Planner: Utilizing Generative AI in K-12 Mobile App Development Education. - David Y. J. Kim; Prerna Ravi; Randi Williams; Daeun Yoo (IDC, 2024)

App Planner: Utilizing Generative AI for Design Thinking in K-12 Mobile App Development Education. - David Y. J. Kim; Prerna Ravi; Randi Williams; Daeun Yoo (CoRR, 2024)

Aptly: Making Mobile Apps from Natural Language. - Evan W. Patton; David Y. J. Kim; Ashley M. Granquist; Robin Liu; Arianna Scott; Jennet Zamanova; Harold Abelson (CHI Extended Abstracts, 2025)