84 citations · 212 across the 15 of their papers we have counts for
9 papers · 1 filter
Structure-Aware Rendering: How Code Reveal Shapes Programmers' Visual Attention
Xiaotian Su, Jan Brasser, David Robert Reich +2
AI coding interfaces present generated code either all at once or token-by-token. These rendering strategies reflect model generation rather than how programmers actually read code…
Notrix: Understanding Machine Learning Solutions Across Computational Notebooks at Scale
Xiaotian Su, Hongxin Fu, Xiaoyu Zhang +1
Computational notebooks make problem-solving visible, but typically only one notebook at a time. Meanwhile, in data science platforms like Kaggle, one competition can accumulate hu…
[MM/AI] Mental Models in Human-AI Interaction: Methods and Challenges in the Generative and Agentic AI Era (Workshop)
Téo Sanchez, Bhada Yun, Prerna Ravi +6
The mental model construct is widely used in HCI to refer to the knowledge structure people hold in order to reason about and interact with computing systems. Yet it is often opera…
NL2Scratch: An Executable Benchmark and Evaluation for Block-Based Programming
Heejin Do, Alexandre Ballenghien, Yang Wu +1
Block-based programming environments such as Scratch are widely used in early programming education, yet natural-language-to-code (NL2Code) research has focused primarily on text-b…
Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education
Junling Wang, Boqi Chen, Heejin Do +3
AI systems are increasingly used to support educational content creation, yet it remains unclear whether they can generate outputs that faithfully represent the pedagogical concept…
When Should Teachers Control AI Generation for Mathematics Visuals?
Zhengxu Li, Junling Wang, April Yi Wang
Generative AI has the potential to help teachers rapidly create classroom-ready visual materials, particularly in mathematics where diagrams and visual representations must be peda…
GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns
Sankalan Pal Chowdhury, Junling Wang, Donya Rooein +2
Several educational domains rely heavily on diagrams and visual cues, yet most existing tutoring datasets are limited to text-only interactions. This limits the development of AI t…
AI Phenomenology for Understanding Human-AI Experiences Across Eras
Bhada Yun, Evgenia Taranova, Dana Feng +2
There is no 'ordinary' when it comes to AI. The human-AI experience is extraordinarily complex and specific to each person, yet dominant measures such as usability scales and engag…
"Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots
Irene Hou, Zeyu Xiong, Philip J. Guo +1
Instructors are increasingly experimenting with AI chatbots for classroom support. To investigate how instructors adapt chatbots to their own contexts, we first analyzed existing r…