EML Educational Modelling Language A public research-and-writing project

EML

Educational Modelling Language is a book and learning system for making learning visible, traceable, and revisable across time.

The project studies how handwriting anchors thought, AI projection externalises structure, and human re-reading contests the transformed output. The purpose is to train the human, not the machine.

Start here Open project documents
Notebook-style EML knowledge space diagram with concepts, notes, models, emergence, and practice connected through read-write cycles.
Public atlas view of the EML knowledge space.

Start Here

Educational Modelling Language is a way of making learning visible, traceable, and revisable. This site is the public surface of the EML project.

Orientation Grammar Circuits in Practice Futures Lexicon
Inscription Projection Re-entry Revision Drift
control

The Read-Write Model

The Read-Write Model is the EML mechanism through which thought becomes visible, revisable, and trainable over time.

  1. Inscription: handwriting or another embodied mark anchors thought.
  2. Projection: AI or another tool returns structure, pattern, and possible form.
  3. Re-entry: the human reads the projection back into the body of thought.
  4. Revision: the human accepts, rejects, sharpens, or redirects the projection.
  5. Drift control: repeated return reveals whether the work is deepening or flattening.

The Book: Four Parts

The manuscript is designed as a model in book form.

01

Orientation

Lived experience, inheritance, self-location, ethical drift, and formative action.

02

Grammar

Symbols, casting, crucible, knowledge space, read-write cycles, and drift vectors.

03

Circuits in Practice

Classroom scenes, AI interactions, workflows, MVPs, tool use, and artefacts.

04

Futures

Agentic learning systems, technics, delegated agency, and human-AI ecology.

The Three EML Layers

Each educational encounter can be read through structure, time, and agency.

Structural

Nodes, links, flows, constraints, forms, visual grammar, and knowledge-space topology.

Cognitive-Temporal

Repetition, delay, casting, drift, memorisation, and learning over time.

Agentic

Learners, educators, AI, notebooks, diagrams, prompts, tools, and delegated agency.

Read the Project

Public links open the living GitHub repository and its source documents.

Project guide Identity, working rules, folder architecture, and routing model. End goals The book, grammar, lexicon, visual language, learning system, and milestones. Current knowledge surface Portable project context for ChatGPT and mobile capture. Book drafts The working manuscript parts and chapter seeds. Lexicon Definitions, terms, and phrases that stabilize EML vocabulary. Assets Diagrams, circuits, readings, visual language, and templates.

Current Concept Cluster

The current development thread treats a concept as a path rather than a fixed object. A note draws movement from latent space into a field of study, where it can be returned to, tested, and developed.

Concept as Path An idea read through provenance, pressure, trajectory, and repeated return. Stage Return A concept becomes legible through repeated re-entry. Field-Centred Study Attention creates a field in which the object becomes observable. Note as Anchor The note holds emergence so later return can develop it.