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When Mixing Up Your Practice Helps You Learn

Mixing practice can help when you need to recognize which approach a problem requires. It is different from changing subjects whenever the work becomes uncomfortable.

A page of handwritten botanical observations in Sherwin Carlquist’s field notebook.
A field notebook containing handwritten notes by botanist Sherwin Carlquist during a field expeditions to Fiji, Japan, California, Florida, Sweden and Denmark between 1978 – 1982. The notebook front and back cover are made of mottled, blue-colored paperboard w Photograph: Carlquist, Sherwin John, 1930-2021. Wikimedia Commons · CC BY 4.0. Contextual archive image; not a study participant. Resized for publication.

The next problem can give away the method

A worksheet contains twenty examples using one rule. After the first few, you may know which procedure to apply before reading the problem carefully. That can be useful while learning the procedure. It is less informative about whether you could select it from several plausible alternatives.

Interleaving mixes categories or problem types within practice. Its possible value lies partly in comparison: you must notice which features distinguish one kind of problem from another. That is a different purpose from random variety or constant interruption.

Learn enough to make a comparison

A beginner may need a clear explanation and some focused examples before a mixed set becomes meaningful. If every problem is wholly unfamiliar, the difficulty may reflect missing foundations rather than useful discrimination. Make sure the learner has a route into the task.

The Brunmair and Richter meta-analysis examined interleaving across different materials and settings and found important moderators. That argues against treating “mix everything” as a universal instruction. The kinds of categories and the learning objective matter.

A hand typing on a laptop keyboard.
hand-laptop-notebook-typing Photograph: http://www.Pixel.la Free Stock Photos. Wikimedia Commons · CC0. Contextual archive image; not a study participant. Resized for publication.

Mix for a reason

Suppose you are learning to distinguish two types of argument. Put examples of both into one set and explain which features determine the classification. If you are studying mathematics, choose problems that require selecting between methods you have already encountered.

Do not confuse this with checking messages between examples or replacing a difficult topic with an unrelated one. Interleaving is an arrangement of practice material. A stream of interruptions can change the task without providing the comparison that gives the method its purpose.

Ask why the method applies

After solving a problem, write the clue that made the method appropriate. Then describe a similar-looking problem where the same method would not apply. This makes the selection rule visible. Getting the answer right by recognizing the page’s pattern is not the same as knowing why the procedure fits.

Review errors in groups. Did you select the wrong method, misunderstand a concept, or carry out a correct method inaccurately? Each problem calls for a different repair. More mixed practice is not the automatic answer to every type of mistake.

Hands using a laptop on a desk beside a window.
Simon Hattinga Verschure 2015-01-03 Photograph: Simon Hattinga Verschure webmarbles. Wikimedia Commons · CC0. Contextual archive image; not a study participant. Resized for publication.

Compare on a later task

A practice session that feels slower may still be useful, but difficulty alone is not evidence of learning. Return to a comparable task after a gap. Can you choose the approach without a heading telling you what to do? Keep the comparison fair enough to learn from it.

Try mixing a small number of examples from two familiar categories this week. Explain the distinctions, check your answers, and revisit them later. The goal is not a more chaotic study session. It is a better ability to recognize what the next problem is asking.

Sources and context

Similarity matters: meta-analysis of interleaved learning (Brunmair & Richter, 2019)

Published by CreativePulse. Research, writing and production assisted by AI. The practical exercises are editorial suggestions; research limits are stated in the article. Editorial standards.

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