7 papers
InquiryBits: Sharing AI Conversation Traces to Support Collaboration Within Trust Boundaries
Caitlin Morris, Pattie Maes
AI chat tools are shifting problem-solving and brainstorming conversations away from colleagues and into private AI interactions, reducing the shared awareness that supports team c…
From Gaze to Guidance: Interpreting and Adapting to Users' Cognitive Needs with Multimodal Gaze-Aware AI Assistants
Valdemar Danry, Javier Hernandez, Andrew Wilson +2
Current LLM assistants are powerful at answering questions, but they have limited access to the behavioral context that reveals when and where a user is struggling. We present a ga…
Critical Inker: Scaffolding Critical Thinking in AI-Assisted Writing Through Socratic Questioning
Philipp Hugenroth, Valdemar Danry, Pattie Maes
As Large Language Models (LLMs) increasingly automate writing tasks, there is a growing risk of cognitive deskilling where users offload critical thinking to the system. To address…
Same Feedback, Different Source: How AI vs. Human Feedback Attribution and Credibility Shape Learner Behavior in Computing Education
Caitlin Morris, Pattie Maes
As AI systems increasingly take on instructional roles - providing feedback, guiding practice, evaluating work - a fundamental question emerges: does it matter to learners who they…
AI-Wrapped: Participatory, Privacy-Preserving Measurement of Longitudinal LLM Use In-the-Wild
Cathy Mengying Fang, Sheer Karny, Chayapatr Archiwaranguprok +3
Alignment research on large language models (LLMs) increasingly depends on understanding how these systems are used in everyday contexts. Yet naturalistic interaction data is diffi…
Same Feedback, Different Source: How AI vs. Human Feedback Shapes Learner Engagement
Caitlin Morris, Pattie Maes
When learners receive feedback, what they believe about its source may shape how they engage with it. As AI is used alongside human instructors, understanding these attribution eff…