Concept mapping#

A note on the evidence (2026). Concept mapping is a genuinely useful way to organise and connect ideas — and it’s the making of the map that helps you, not the picture itself. Be wary of older claims that maps “use more of your brain” or multiply memory; those aren’t well supported. For the techniques with the strongest evidence see proven learning methods , and for the myths to avoid see what doesn’t work .

The strongest way to use any map below is to build it from memory first, then check it against your notes — that turns the exercise into retrieval practice , which is where the real learning happens.

Mind Maps are one type of concept map made popular by Tony Buzan. What many people don’t realize is that there are many different types of concept maps, each suited to different purposes. Trying to use mind maps for tasks they’re not designed for limits their effectiveness.

At heart, every map in this course does the same thing: it’s thinking with labelled graphs in space — you build the structure, then recall it. Each type lays a handful of ideas (nodes) and the named relationships between them (labelled edges) out on the page so you can see the whole shape at once.

The core technique of concept mapping lives in the learning cycle itself — it’s the worked instrument of the Organise step , where you build a map to chunk material and shape a schema. This course is the full atlas: the catalogue of map types, the patterns, and the tools for putting them to work.

How this course is organised#

Whatever map you draw, you’re doing three things. You externalise — get the ideas out of your head and onto the page where you can work on them. You structure — shape them into a graph, deciding what connects to what and naming each link. And you retrieve — rebuild the map from memory and check it against your source. Retrieval is where the learning actually happens, so it comes back in every module, not just at the end. The modules below add map types and tools, but the same three moves run through all of them.

This course covers more than ten concept map types in detail, with exercises throughout. It pairs well with the visual learning techniques section of the manual, and it builds directly on the course map you sketch when planning a subject — a course map is really just a concept map at its coarsest grain.

Concept map of “water”: water is required by living things (e.g. animals, then dogs; and plants, then maples), is composed of molecules (which are in molecular motion, from heat, from my oven), and changes states — solid (as in snow, ice), gas (as in steam, in a boiler) and liquid (as in fog, and river, e.g. Elm). Each link is labelled, which is what turns a diagram into a concept map.

Modules#

Basic concept maps — Spider, hierarchical, and network maps: the three fundamental structures that underlie all other concept map types.
Common concept maps — Mind maps, IHMC concept maps, flowcharts, fishbone diagrams, pictorial maps, and Mandala maps.
Advanced concept maps — Systems maps, decision trees, logic trees, and software-based concept maps for complex knowledge modelling.
Using concept maps — How to create, memorize, and apply concept maps for study, note-taking, and teaching.
Software for concept mapping — The modern tools for building maps digitally: visual canvases like Excalidraw and Miro, outline-driven mind mappers, and CmapTools for formal labelled-link concept maps.
Systems thinking & feedback — Causal-loop diagrams, reinforcing and balancing loops, delays, and why learning itself is a feedback loop.
Concept mapping in the AI age — AI-assisted mapping, knowledge graphs, networked notes, diagrams-as-code, and turning a finished map into retrieval practice.