Reading Group
Paper discussions exploring the latest research in digital education. We meet regularly to read and discuss influential papers in the field.
Upcoming
Paper TBD โ Facilitator: Minsun Kim
Paper TBD โ Facilitator: Fariha
Past Sessions
Fall 2026
Staring at Tables: Exploring Conceptual Data Modeling as a Rich Collaborative Activity
Staring at Tables: Exploring Conceptual Data Modeling as a Rich Collaborative Activity
Laura Koesten, Daphne Miedema, Hsiang Yun Wu, Mathias Funk
Discussion led by: Moonwara
Read Paper โStudent Perspectives on the Role of Teaching Assistants in the Age of GenAI
Student Perspectives on the Role of Teaching Assistants in the Age of GenAI
Alex Chao, Mia Chen, Yuan-Kai Yang, William G. Griswold, Leo Porter, Adalbert Gerald Soosai Raj
Discussion led by: David H. Smith IV
Read Paper โSpring 2026
Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education
Closing the Loop: An Instructor-in-the-Loop AI Assistance System for Supporting Student Help-Seeking in Programming Education
Tung Phung, Heeryung Choi, Mengyan Wu, Christopher Brooks, Sumit Gulwani, Adish Singla
Discussion led by: Kwasi Biritwum-Nyarko
Read Paper โTeach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim
Discussion led by: S. Moonwara A. Monisha
Read Paper โThematic analysis with open-source generative AI and machine learning: a new method for inductive qualitative codebook development
Thematic analysis with open-source generative AI and machine learning: a new method for inductive qualitative codebook development
Andrew Katz, Gabriella Coloyan Fleming, and Joyce Main
Discussion led by: David Smith
Read Paper โReflecting on Thematic Analysis in Computer Science Education Research: A Field Guide for Researchers and Reviewers
Reflecting on Thematic Analysis in Computer Science Education Research: A Field Guide for Researchers and Reviewers
Aadarsh Padiyath and Tamara Nelson-Fromm
Discussion led by: Vee Pettit
Read Paper โThe Dynamics of the Self-regulation Process in Student-AI Interactions: The Case of Problem-solving in Programming Education
The Dynamics of the Self-regulation Process in Student-AI Interactions: The Case of Problem-solving in Programming Education
Sonsoles Lรณpez-Pernas, Kamila Misiejuk, Eduardo Oliveira and Mohammed Saqr
Discussion led by: David Smith
Read Paper โ