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App for Making Concept Map: What to Use and How

TL;DR

Choosing an app for making concept map assignments: the features that matter, which tools fit each step, and a worked biology example with 22 labelled links.

Published · Updated · 7 min read · by the Sakura5 team

App for Making Concept Map: What to Use and How

The best app for making a concept map is one that lets you write a label on every connecting line, draw cross-links between distant ideas, and get your list of concepts down fast — so in practice most people end up pairing a quick capture tool with a dedicated concept-map editor. If an app only draws branches from a central bubble with no words on the lines, it’s a mind map app, and the map you hand in will read like a list of headings.

That distinction matters more than features like colour themes or templates. A concept map is judged on its propositions — two concepts joined by a linking phrase, such as “insulin — lowers — blood glucose” — and an app that makes those hard to write makes the whole map worse.

Below: what to look for in an app for making concept maps, the main kinds of tools and what each one is good at, a workflow that splits the job between them, a worked example from a first-year biology unit, and the mistakes that cost marks.

What an app for making concept maps actually needs

Most app roundups compare price and platform. Those matter, but they come second. Before anything else, check that the app can do these four things:

  • Labelled links. You should be able to type a verb phrase directly on the line between two concepts. This is the single feature that separates concept-map tools from mind-map tools.
  • Free connections. Any concept should be able to link to any other, not just to its parent. Concept maps are networks; a strict tree can’t hold a cross-link.
  • Easy rearranging. You will move nodes constantly as the hierarchy settles. An app that snaps everything back into an automatic layout fights you here.
  • Clean export. Teachers and lecturers usually want a PDF or an image. If the export crops the map or loses the link labels, the rest doesn’t matter.

Two more are nice to have: a way to start from your own notes rather than a blank page, and sync between your phone and laptop so you can add a concept the moment it occurs to you. If you’re still unsure which format your assignment wants, our breakdown of concept map vs mind map differences covers the six differences that matter.

The three kinds of concept map apps

Nearly every tool falls into one of three groups, and each is strong at a different stage of the job.

The three kinds of concept map apps — app for making concept map
Nearly every tool falls into one of three groups, and each is strong at a different stage of the job.

1. Dedicated concept-map editors

These are built around the proposition. The best-known is CmapTools from IHMC, the research institute connected to Joseph Novak, who developed concept mapping in the first place. It’s free, it treats linking phrases as first-class objects, and it handles cross-links properly. The trade-off is that it feels like desktop software from another era, and it’s slow for the early, messy stage when you’re still working out which concepts belong.

2. General diagramming and whiteboard tools

Flowchart and whiteboard apps can draw anything, including concept maps. You get labelled connectors and total layout freedom. You also get no help at all with content: every box starts empty, and you have to decide the concepts yourself before you can draw a single line.

3. Mind map and AI mapping apps

These are fastest at the part people find hardest — getting from a chapter of text to a structured set of ideas. Mindmap AI, for example, lets you type a topic, paste a long text or drop in a URL, and the AI (a Pro feature) builds an organized map of main ideas and sub-ideas on an infinite canvas in seconds. Its maps are hierarchical, which is exactly the general-to-specific ordering a concept map starts from. What a mind map app doesn’t give you is a network of labelled propositions, so treat it as the first half of the job rather than the finished map.

A workflow that uses the right tool for each step

Splitting the work this way is faster than forcing one app to do everything.

1. Write the focus question

Start with one question, not a topic. “How does the body keep blood glucose stable?” tells you which concepts belong. “Diabetes” doesn’t, and the map will sprawl.

2. Extract the concepts

Paste your lecture notes or the textbook section into a mapping app and let it pull out the main ideas. In Mindmap AI you can tap any node to expand it with sub-ideas, or ask the AI to explain a concept right on the map (both Pro), which helps when a term in your notes is still fuzzy. Then switch to the outline view and cut anything that doesn’t serve the focus question. Aim for 12 to 20 concepts, each one to three words.

3. Rank general to specific

The hierarchy from step 2 gives you a rough order. Check it: the broadest concepts go at the top, mechanisms in the middle, specific molecules or examples at the bottom.

4. Link and label

Move to a tool with labelled connectors — a concept-map editor, a whiteboard app, or a sheet of A3 paper. Draw the links and write a verb phrase on every one. Read each line aloud. If it doesn’t make a true sentence, fix the label or remove the link.

5. Add cross-links and export

Look for connections between separate branches. These are where the real understanding shows. Then export as PDF or image and check that every label survived.

Worked example: a concept map on blood glucose regulation

Here’s the workflow on a real assignment. Priya is in first-year biology and has to submit a concept map answering the focus question “How does the body keep blood glucose stable?” She has about six pages of lecture notes and a textbook section of roughly 2,500 words.

Worked example: a concept map on blood glucose regulation — app for making concept map
She pastes the textbook section into Mindmap AI.

Extraction (about 10 minutes). She pastes the textbook section into Mindmap AI. The generated map has five main branches: pancreas, hormones, liver, muscle and fat tissue, and diabetes. Under hormones it lists insulin and glucagon; under liver, glycogen storage and glucose release. The diabetes branch, with eight sub-ideas, is interesting but off the focus question, so she cuts it down to a single concept, “type 1 diabetes,” as a possible example.

Concept list. After trimming, she has 16 concepts: blood glucose, pancreas, beta cells, alpha cells, insulin, glucagon, liver, glycogen, muscle cells, fat cells, glucose uptake, negative feedback, eating a meal, fasting, glycogen breakdown, and type 1 diabetes.

Linking (about 25 minutes). She rebuilds the concepts in a concept-map editor with blood glucose at the top and writes propositions such as:

  • eating a meal — raises — blood glucose
  • beta cells — release — insulin
  • insulin — increases — glucose uptake
  • glucagon — triggers — glycogen breakdown
  • liver — stores glucose as — glycogen

Her first pass has 21 links. Reading them aloud catches two problems: “pancreas — makes — glycogen” is simply wrong, and “insulin — related to — liver” is too vague to mark. She deletes the first and rewrites the second as “insulin — signals — liver to store glycogen.”

Cross-links. The strongest line on the final map joins two branches: “type 1 diabetes — destroys — beta cells.” It connects the example back to the mechanism and shows she understands why the condition breaks the feedback loop. The finished map has 16 concepts, 22 labelled links and three cross-links, built in under an hour.

Mistakes that turn a concept map into a word list

  • Unlabelled lines. The most common one, and usually a sign the map was made in a mind map app and handed in as-is. Every line needs words.
  • Vague linking phrases. “Related to,” “involves” and “linked with” commit to nothing. Use verbs that could be wrong: “inhibits,” “produces,” “is stored as.”
  • Sentences inside nodes. If a box contains a whole sentence, split it into two concepts and a link.
  • Too many concepts. Forty concepts on one page is unreadable. Cut to what answers the focus question.
  • No cross-links. A map with only top-down branches is a tree. Look for at least two or three lines that join separate parts.

The same habits apply in clinical subjects, where concept maps are used for care planning; our guide to concept maps for nursing school shows the format applied to patient cases.

FAQ

Is there a free app for making concept maps?

Yes. CmapTools, from the Florida Institute for Human and Machine Cognition, is free and was designed specifically for concept maps, with proper linking phrases and cross-links. Many general whiteboard and diagramming apps also have free tiers that can draw labelled connectors, though they give no help choosing your concepts.

Can I use a mind map app to make a concept map?

You can use one for the first half of the job: collecting concepts and ordering them from general to specific. A mind map app on its own usually produces a tree with unlabelled branches, which is not a concept map. Add linking phrases and cross-links in a tool that supports them, or on paper.

Can AI make a concept map for me?

AI is good at reading a long text and pulling out the main concepts and their hierarchy, which saves the slowest part of the work. The linking phrases are where your own understanding shows, so write and check those yourself. Read each proposition aloud and confirm it’s true before you submit.

What is the best app for making a concept map on iPhone or iPad?

Look for an app that syncs with your laptop, so you can capture concepts on your phone and finish linking on a bigger screen. Mindmap AI runs on iPhone, iPad and Mac with iCloud sync and is fast for turning notes into a structured set of ideas, which you then link and label.

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