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A chapter of physics or biology is not a list. It is a web: forces cause acceleration, acceleration changes velocity, friction depends on the normal force. A concept map puts that web on paper, and building one makes you decide how every idea connects.
What is a concept map?
Concept maps were developed in 1972 in Joseph Novak's research programme at Cornell University, according to Novak and Cañas's guide. Their key terms:
Concepts sit in boxes or circles.
Linking words sit on the lines and say how two concepts relate.
A proposition is two or more concepts joined by linking words to make a meaningful statement, such as "net force / causes / acceleration".
A focus question says what the map is meant to answer.
Cross-links connect concepts in different parts of the map.
The linking words are what separate a concept map from a mind map full of arrows. If a line has no words on it, you haven't yet said what you know.
What did the meta-analyses find?
Nesbit and Adesope's 2006 meta-analysis pooled 67 effect sizes from 55 studies with 5,818 participants, from Grade 4 to university, in subjects including science. Using concept maps was associated with better knowledge retention across many settings, though the effects ranged from small to large depending on how maps were used and what they were compared with.
A 2018 update by Schroeder, Nesbit, Anguiano and Adesope, summarised by the Clearing House Unterricht at TU Munich, covered 63 studies and 142 effect sizes, 78% of them from STEM subjects. Its findings:
Overall, a medium positive effect (g = 0.58).
Building maps (g = 0.72) helped more than studying ready-made ones (g = 0.43).
Compared with lectures and discussions, the effect was large (g = 1.05); compared with similar activities such as outlines, lists or reading text, smaller (0.29 to 0.48).
Using maps for over a week went with bigger effects (about 0.7) than under a week (0.36).
Is a concept map better than testing yourself?
Not when you build it with the book open. Karpicke and Blunt compared the two directly: practising retrieval produced more learning of science texts than elaborative studying with concept mapping, even when the final test asked students to make a concept map.
So combine them. Read, close the book, draw the map from memory, then open the book and correct it in a different colour. The corrections show you what to revise.
Worked example: a block sliding down an incline
Focus question: Why does a block slide down a rough incline, and how fast does it speed up?
Parking lot (Novak and Cañas's term for concepts waiting to be placed): weight, mass, g, normal force, friction, coefficient of friction, net force, acceleration, angle θ, Newton's second law.
Propositions to draw:
Weight equals mg.
Weight splits into mg sin θ along the incline and mg cos θ into it.
Normal force balances mg cos θ (no acceleration into the surface).
Kinetic friction equals μ times normal force.
Friction acts against the sliding direction.
Net force along the incline equals mg sin θ minus friction.
Net force divided by mass gives acceleration (Newton's second law).
Cross-link: angle θ controls both the driving component and, through the normal force, the friction. That one line explains why steeper slopes speed blocks up more.
Read top to bottom, the map gives a = g(sin θ − μ cos θ). If you can't fill a linking word, that is the gap to fix. The Fermi Concept Library gives every concept in physics, chemistry, biology and mathematics its own lesson and its place in the map, which is useful for checking how a missing idea connects.
A checklist for your next map
Start with a focus question, not a chapter title.
List 15 to 25 concepts, as Novak and Cañas suggest.
Write a verb or phrase on every line.
Add at least two cross-links.
Redraw it from memory two days later, as part of your spaced revision schedule.
Pick one chapter you find tangled this week, and map it from memory before you open the book.
