Test scores or brain scans? Predicting student learning

Brain scans may be more accurate than traditional graded tests when it comes to measuring learning, according to new research.

The study, published in Science Advances, was authored by a team of researchers from seven universities and led by Georgetown neuroscientists.

Critics have long expressed concerns about whether the data that neuroscience provides can really tell educators anything they couldn’t find out using traditional paper-and-pencil or computer-based tests.

However, the research team’s new findings point to a new way of integrating neuroscience with education that helps to overcome these challenges. Instead of focusing on each individual student’s brain, the study focused on the curriculum the students learned. The results show that brain imaging can detect the changes that come with learning a specific curriculum in real-world classrooms, and that these brain changes can be used to compare different curricula.

“For a long time, psychologists and philosophers have debated whether spatial thinking, like mental images of objects, is actually hiding underneath thinking that seems verbal,” said Adam Green, the study’s senior author and Provost’s Distinguished Associate Professor at Georgetown College of Arts and Sciences in the Department of Psychology.

“If this is true, then teaching students to improve their spatial thinking skills should boost their verbal reasoning ability.”

The researchers studied a ‘spatially enriched’ science course offered at public high schools in Virginia, which emphasises spatial thinking skills like building maps and planning how cities can be reconfigured to reduce energy consumption. MRI scans showed changes in students’ brains as they learned the course curriculum, and these changes were compared to the ways in which learning is traditionally measured (eg, changes in test scores).

The brain changes were far better predictors of learning, especially a kind of learning called ‘far transfer’, which is so deep that it helps students succeed at tasks they weren’t even taught to accomplish. Far transfer is something of a Holy Grail for educators and notoriously difficult to capture with traditional tests.

Making models in the mind

The team’s findings support mental model theory, or MMT, which posits that when humans comprehend spoken or written language the mind ‘spatialises’ this information, relying on systems in the brain that originally evolved to help our primate ancestors nimbly navigate complex environments.

When the researchers tested verbal reasoning, about words in sentences rather than objects on maps, they found marked improvements in the students who had taken the course emphasising spatial thinking. What’s more, the better students got at spatial thinking, the more their verbal reasoning improved.

“These findings demonstrate that mental modelling could be an important basis for far transfer in real-world education, taking skills from the classroom and applying them more generally,” said lead author and psychology PhD student Robert Cortes. “This study not only informs our understanding of how education changes our brains, but it also reveals key insights into the nature of the mind.

“Verbal reasoning is one of the most powerful tools that human evolution has produced,” said Cortes. “It is incredibly exciting to combine neuroscience and education to better understand how the human brain learns to reason. Hopefully we can leverage these findings to improve human reasoning more broadly.”

Showing new evidence for MMT in the brain, the research team found that improvements in verbal reasoning could be best predicted by changes in centres of spatial processing in students’ brains — specifically in the posterior parietal cortex.

Creating curriculum for the cranium

While the debate about mental models has a long history, one of the hottest debates in the modern educational landscape is whether neuroscience can improve teaching and learning in schools. Though promising in theory, efforts to integrate neuroscience with education have proved challenging in the real world. One of the major obstacles is that neuroscience tools, like MRI scans, are expensive and time-consuming, making it unlikely that they can be applied at the large scale of education policy and practice.

“We can’t scan every kid’s brain, and it would be a really bad idea to do that even if it was possible,” said Green.

“Curriculum development can and does happen at the kinds of small scales that neuroscience can realistically accommodate. So, if we can leverage neuroimaging tools to help identify the ways of teaching that impart the most transferable learning, then those curricula can be widely adopted by teachers and school systems. The curricula can scale up, but the neuroimaging doesn’t have to.”

Students in the spatially enriched curriculum showed more robust brain changes compared to closely matched students who took other advanced science curricula. These changes appear to indicate a deep learning of spatial abilities that the brain can apply in highly flexible ways, which may not be fully captured by traditional tests of specific skills. In particular, the study’s finding that brain changes can predict learning better than traditional tests provides strong evidence that the inside view afforded by neuroscience can give educators insights about far-transfer learning that they have long sought but that traditional learning assessments often miss.

“This study is a great example of our department’s mission of bridging ‘Neurons to Neighbourhoods’ through science. We hope to use this data to convince policymakers to increase access to this kind of spatially enriched education,” said Cortes.

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