Interactionalism: Re-Designing Higher Learning for the Large Language Agent Era
On the map: LLM agents and tool use → Educational agents and math problem solving
Abstract (arXiv)
We introduce Interactionalism as a new set of guiding principles and heuristics for the design and architecture of learning now available due to Generative AI (GenAI) platforms. Specifically, we articulate interactional intelligence as a net new skill set that is increasingly important when core cognitive tasks are automatable and augmentable by GenAI functions. We break down these skills into core sets of meta-cognitive and meta-emotional components and show how working with Large Language Model (LLM)-based agents can be proactively used to help develop learners. Interactionalism is not advanced as a theory of learning; but as a blueprint for the practice of learning - in coordination with GenAI.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Educational agents and math problem solving, one of 16 directions in LLM agents and tool use. Builds on 0 of its 2 references that are in the map. First posted on arXiv 1 Jan 2025.
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