235 citations · 245 across the 15 of their papers we have counts for
6 papers · 1 filter
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning
Xinying Hou, Ruiwei Xiao, Runlong Ye +2
The broad adoption of Generative AI (GenAI) is impacting Computer Science education, and recent studies found its benefits and potential concerns when students use it for programmi…
TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models
Zijian Zhang, Pan Chen, Fangshi Du +4
Efficiently navigating and understanding academic papers is crucial for scientific progress. Traditional linear formats like PDF and HTML can cause cognitive overload and obscure a…
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
Ruiwei Xiao, Xinying Hou, Runlong Ye +4
With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight…
Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents
Runlong Ye, Zeling Zhang, Boushra Almazroua +1
AI-powered code assistants are widely used to generate code completions, significantly boosting developer productivity. However, these tools typically present suggestions without e…
ScholarMate: A Mixed-Initiative Tool for Qualitative Knowledge Work and Information Sensemaking
Runlong Ye, Patrick Yung Kang Lee, Matthew Varona +2
Synthesizing knowledge from large document collections is a critical yet increasingly complex aspect of qualitative research and knowledge work. While AI offers automation potentia…
The Design Space of Recent AI-assisted Research Tools for Ideation, Sensemaking, and Scientific Creativity
Runlong Ye, Matthew Varona, Oliver Huang +3
Generative AI (GenAI) tools are radically expanding the scope and capability of automation in knowledge work such as academic research. While promising for augmenting cognition and…