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Educators, curriculum designers, and researchers building AI-assisted educational agents that stay within explicit knowledge boundaries.

Ed4All

Active Inference for Grounded Educational Knowledge Environments.

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EcosystemResearchFiltered resourcesGlobal directoryEduActive UnitActive Inference and Education

Ed4All (Active Inference for Grounded Educational Knowledge Environments) is an open, locally deployable, empirically evaluated framework for grounded educational agents that operate within explicit knowledge and evidentiary boundaries.

Overview

Ed4All develops educational agents whose responses are grounded in an explicit, bounded body of knowledge and evidence, rather than an open-ended generative model — aimed at classroom and self-directed learning contexts where staying within a defined curriculum or evidence base matters. The framework is designed to run locally and be empirically evaluated rather than deployed as an opaque black box.

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Educators, curriculum designers, and developers interested in grounded, evaluable educational AI agents are welcome.

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Shared topics: Eduactive Research Active Inference Cycle Book for Self-Knowing

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Shared topics: Eduactive Research Active Inference for Social Sciences

Develops courses, curricula, research, and writing connecting Active Inference to social sciences disciplines.

Shared topics: Eduactive Research Active Inference Journal

A community publication and knowledge channel for Active Inference research and discussion.

Shared topics: Eduactive Research Active Inference Ontology

Maintains and develops the public ontology for Active Inference and decentralized science with structured, machine-readable definitions.

Shared topics: Eduactive Research Applied Active Inference Symposium

The Applied Active Inference Symposium is a yearly event that convenes the global Active Inference community. It has run five times from 2021 through 2025, with

Shared topics: Eduactive

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Learners, educators, course developers, textbook contributors, and anyone interested in Active Inference education. EduActive Unit

EduActive is the Institute's education arm. It hosts the Textbook Group, courses, ontology work, the Active Inference Journal, audio-visual production, seasonal school, and related learning initiatives. EduActive projects connect Active Inference to learning infrastructure, pedagogy, and public educational resources.

 Researchers, educators, and Institute fellows exploring computational and theoretical models of teaching, learning, and curriculum design. Active Inference and Education

Education is a socially organized process for reducing uncertainty about the world and about other minds, which makes it an archetypal fit for active inference and the free energy principle. A small but growing body of peer-reviewed work has begun to formalize students and teachers as agents who build hierarchical generative models, select policies under expected free energy, and update beliefs through prediction error — but this literature remains conceptually oriented, with direct empirical tests of active inference in real classrooms still largely absent.

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Projects convert shared ideas into repositories, research outputs, learning infrastructure, media, events, and applied work.