most citedUnderstanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings

4 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2026

CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks

Anqi Wang, Dongyijie Pan, Xin Tong +1

Although Large Language Models (LLMs) demonstrate proficiency in knowledge-intensive tasks, current interfaces frequently precipitate cognitive misalignment by failing to externali…

cs.HC2026

NexusAI: Enabling Design Space Exploration of Ideas through Cognitive Abstraction and Functional Decomposition

Anqi Wang, Bingqian Wang, Huiyang Chen +4

Large Language Models (LLMs) offer vast potential for creative ideation; however, their standard interaction paradigm often produces unstructured textual outputs that lead users to…

cs.HC2026

Reflexa: Uncovering How LLM-Supported Reflection Scaffolding Reshapes Creativity in Creative Coding

Anqi Wang, Zhengyi Li, Lan Luo +2

Creative coding requires continuous translation between evolving concepts and computational artifacts, making reflection essential yet difficult to sustain. Creators often struggle…

cs.HC2026★ 1 cited

Co-Designing Digital Humans for Online Learning: A Framework for Human-AI Pedagogical Integration

Xiaokang Lei, Ching Christie Pang, Yuyang Jiang +2

Artificial intelligence (AI) and large language models (LLMs) are reshaping education, with virtual avatars emerging as digital teachers capable of enhancing engagement, sustaining…

cs.HC2025★ 1 cited

DesignerlyLoop: Forming Design Intent through Curated Reasoning for Human-LLM Alignment

Anqi Wang, Zhengyi Li, Xin Tong +1

Recent large language models (LLMs) show promise in design tasks, yet a fundamental misalignment persists: design thinking requires iterative intent formulation, while LLMs treat i…

cs.HC2025★ 1 cited

FAIR: Framing AIs Role in Programming Competitions -- Understanding How LLMs Are Changing the Game in Competitive Programming

Dongyijie Primo Pan, Lan Luo, Ji Zhu +3

This paper investigates how large language models (LLMs) are reshaping competitive programming. The field functions as an intellectual contest within computer science education and…

cs.HC2025★ 4 cited

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings

Bei Yi Ng, Jiarui Li, Xinyuan Tong +4

Generative artificial intelligence (GenAI) is transforming the educational landscape by augmenting learning paradigms. However, state-of-the-art GenAI systems driving this transfor…