most citedExploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Mind the Trust Gap: Identifying (Mis)alignments in Teacher-Student Views Toward Control and Agency in K-12 Classroom AI

Tomohiro Nagashima, Lisa Siegrist, Niklas Scholz +3

As Artificial Intelligence (AI)-based technologies have been integrated into school classrooms where multiple stakeholders (with different roles) interact with each other, it is cr…

cs.HC2026

Gaze-Informed Proactive AI Assistance for Children's Picture Exploration

Zekun Wu, Man Su, Huiyong Li +2

Proactive assistance with large language models (LLMs) has received growing attention in the human computer interaction (HCI) community. However, most past work on proactive LLMs'…

cs.CY2026

Understanding Student Effort Using Response-Time Propensities During Problem Solving

Conrad Borchers, Lijin Zhang, Kexin Yang +2

Adaptive learning systems can produce substantial learning gains, yet many students engage for too brief or too superficial a period to benefit. A central obstacle is measuring eff…

cs.HC20261 cited

Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

Chao Wen, Tung Phung, Pronita Mehrotra +4

Generative AI has democratized content creation, but popular chatbot-based interfaces often prioritize execution, generating fully rendered artifacts right away. This issue can lea…

cs.CY2025

Partnering with AI: A Pedagogical Feedback System for LLM Integration into Programming Education

Niklas Scholz, Manh Hung Nguyen, Adish Singla +1

Feedback is one of the most crucial components to facilitate effective learning. With the rise of large language models (LLMs) in recent years, research in programming education ha…