CanvasConvo presents a spatial canvas interface for branching LLM conversations, evaluated in a 5-7 day field study with 24 participants that found support for exploratory workflows.
AI makes you smarter but none the wiser: The disconnect between per- formance and metacognition
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
A reinforcement learning agent for timing GenAI access in education yields better post-test performance and metacognitive accuracy than unrestricted use and fewer errors than full restriction in a 105-participant lab study.
The paper proposes a Causal-Agency Framework to restore human causal control at AI interfaces by combining causal models, uncertainty quantification, and human-centered evaluation.
citing papers explorer
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Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas
CanvasConvo presents a spatial canvas interface for branching LLM conversations, evaluated in a 5-7 day field study with 24 participants that found support for exploratory workflows.
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Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education
A reinforcement learning agent for timing GenAI access in education yields better post-test performance and metacognitive accuracy than unrestricted use and fewer errors than full restriction in a 105-participant lab study.
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Human Agency, Causality, and the Human Computer Interface in High-Stakes Artificial Intelligence
The paper proposes a Causal-Agency Framework to restore human causal control at AI interfaces by combining causal models, uncertainty quantification, and human-centered evaluation.