Brain scans prove better at testing students' ability than traditional exams
Cortes told, “one of the main limitations is that, since the study was done in the real world , we could not randomly assign students to take the class versus a control class. Instead, we used the closest possible approximation to random assignment--a quasi-experimental technique called propensity score matching.” This method reduces selection bias in real-world experiments where randomization of groups is impossible.
He further added, “essentially, we measured students from both the Geospatial and control groups on their overall "propensity" to enroll in the Geospatial course, and then used these measures to closely match each Geospatial student to a control student who was equally likely to have taken the course based on baseline characteristics .”
The researchers are now aiming to replicate these results with a follow-up study while exploring new secrets related to learning and brain scans.Current debate surrounds the promise of neuroscience for education, including whether learning-related neural changes can predict learning transfer better than traditional performance-based learning assessments.
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