How do Learning Styles Affect Learning Predictions?

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How do Learning Styles Affect Learning Predictions?

Students learned one list at a time. While the students were learning the lists, they were asked to make a judgment of learning (JOL). A JOL is just a prediction about how well they think they have learned the material. In this case, they were asked to rate the likelihood that they would remember the pair in the testing phase later. Sometimes they made the JOL right after seeing a pair, and other times it came after a delay of a couple of minutes (at least intervening 10 items).

Testing Phase:

After learning the first list, the students performed an unrelated “distractor task” for 2 minutes, and then took a cued-recall test to measure their learning of the items. The students saw a cue word or picture one at a time, and were asked to recall the other word or picture from the pair they originally studied.

Repeat for the Second List:

Finally, the learning and predictions phase and the testing phase were repeated for the second list. (I.e., the students who learned the pairs of words first now learned the pairs of pictures; the students who learned the pairs of pictures first now learned the pairs of words.)

The Results

The researchers found that learning style was not related to actual learning. In other words, the verbal students did not remember the words any better than the pictures, and the visual students did not remember the pictures any better than the words.

However, their predictions about how well they would remember the pictures and words did depend on their learning style.

  • The verbal students had higher JOLs for the words than pictures, indicating they predicted they would remember the words better than the pictures (even though they didn’t).

  • The visual students had higher JOLs for the pictures than words, indicating they predicted they would remember the pictures better than the words (even though they didn’t).

The predictions were only related to learning style when the JOLs were made right after studying the pair. This means that after waiting a little bit, the students were better able to assess how well they would remember the item. In general, delaying one’s prediction of how much is learned (i.e., metacognitive monitoring) leads to a more accurate prediction.

Why is it a problem that learning styles are related to learning predictions but not actual learning?

If a student is studying, and they believe in learning styles, they may study the information in their own particular style. While they are studying, they are likely assessing how well they think they know the material, likely in preparation for a test. If they think they learn best with verbal information, and they are studying verbal information, this pairing alone should drive up their prediction of how well they are learning without actually meaning they are learning more. (And, students tend to overestimate how much they will remember in general as it is.) Their prediction that they know the material better may lead them to terminate studying early, potentially leading to a disappointing surprise when it comes time for exam day. If the students were told that learning styles don’t matter for learning, and encouraged to use dual coding (and delayed predictions of their own learning for that matter), their assessments would generally be more accurate.

Bottom Line

Catering to learning styles isn’t just ineffective at producing learning. It can also be harmful. While this experiment utilized very simple experimental materials for learning, that does not necessarily mean it doesn’t have any validity for the classroom. This type of experiment can allow for greater control over the materials and experimental procedure, making it easier to determine cause-and-effect relationships (see this post).

Instead, we should engage students in multimodal learning, or dual coding, and match learning activities to the material to be learned. Imagine trying to learn the anatomy of this flower and how these parts work together without a diagram. It would be very difficult for many people to learn just based on a verbal description. On the other hand, if we remove all of the words from this diagram, the chances of learning would likely be greatly reduced.