Neuroscience, Education and Cognitive Function

Syncing Minds for Learning: Student-Teacher Inter-brain Coupling Forecast Cross-semester Academic Fluctuation in Real-World Classrooms

This study shows that increased student-teacher inter-brain coupling predicts academic improvement in real-world classrooms using longitudinal EEG data.

Think Like an Expert: Neural Alignment Predicts Understanding in Students Taking an Introduction to Computer Science Course

This study introduces a neural measure called neural alignment to predict learning outcomes by comparing students' brain activity to experts and peers in a computer science course.

Instructor-learner brain coupling discriminates between instructional approaches and predicts learning

This study shows brain-to-brain coupling during instruction correlates with learning outcomes and is influenced by scaffolding behaviors, not explanation approaches, and machine learning better decodes instructional methods from coupling data.

Sex and pedagogy influences in physics learning-related reorganization of brain activity

This study uses fMRI to show that active-learning and lecture-based physics instruction lead to brain activity reorganization, with sex differences observed in frontoparietal, default mode, and visual areas, and pedagogy-sex interactions during physics retrieval.

Brain activity links performance in science reasoning with conceptual approach

The paper examines brain function during physics problem solving in students, linking conceptual approaches to neural mechanisms and success in science reasoning.