Agentivism defines learning as durable growth in human capability through selective AI delegation, epistemic monitoring and verification, reconstructive internalization of AI outputs, and transfer under reduced support.
AI Tutoring Outperforms In-Class Active Learning: An RCT Introducing a Novel Research-Based Design in an Authentic Educational Setting
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A structured dialogue intervention corrects 82% of multimodal errors made by LLMs on physics problems, including 100% of visual processing errors.
citing papers explorer
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Agentivism: a learning theory for the age of artificial intelligence
Agentivism defines learning as durable growth in human capability through selective AI delegation, epistemic monitoring and verification, reconstructive internalization of AI outputs, and transfer under reduced support.
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A Dialogue-Based Framework for Correcting Multimodal Errors in AI-Assisted STEM Education
A structured dialogue intervention corrects 82% of multimodal errors made by LLMs on physics problems, including 100% of visual processing errors.