Irene Hou
Papers
1
Total Citations
27
H-Index
1
About
Irene Hou is a rising scholar at the intersection of computing education and artificial intelligence, whose work investigates how large multimodal models—like ChatGPT—are transforming the way students learn to code. Her most-cited paper, "More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems" (2024, 27 citations), demonstrates that these models can accurately solve visually diverse programming problems, challenging assumptions about the limits of AI in educational settings. This research builds on her broader contributions to understanding how generative AI performs relative to students—showing that models can explain code better than novices, answer multiple-choice questions at or above class averages, and generate code that passes automated tests in introductory courses. Hou’s work is critical for educators grappling with the rapid integration of AI into classrooms, offering both cautionary insights and practical guidance. With growing recognition for her forward-looking studies, she is helping to shape the conversation around AI literacy and assessment design in computer science education.
Research Focus
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Top Papers
- 1