OSF
open access
Bypass, Offload, or Scaffold: A Conceptual Model of How Large Language Models Shape Learning
Large language models (LLMs) can now supply complete solutions to most academic tasks on demand. Whether that helps or harms learning depends on what the interaction does to the effortful processing that learning requires. This article proposes the Neuroplasticity-AI Interaction Model (NAIM), which
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
OSF
Related documents
- Learning to Ideate for Scientific Impact#1077729
- Changes in Motivational Beliefs and Science Identity During an AI-Assisted Reading of Primary Scientific Literature#389994
- How Do Large Language Models Learn Concepts During Continual Pre-Training?#629893
- How Do Large Language Models Learn Concepts During Continual Pre-Training?#628031
- A Fragility Spectrum for Recursive Language-Model Training#998701
Record · ID 977039 · SHA-256 181194287ca0a0b3
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive