Educational Neuroscience – a modern interdisciplinary research field integrating cognitive psychology, neuroscience, medicine, computer science, and Education Sciences – aims at bridging basic research and educational application. In our intersection, we pursue questions like the following:
- Where are numbers represented in the brain?
- Can we detect a learner’s workload by means of brain activation?
- Does it influence school achievement when children learn to self-regulate their brain?
To address these questions, we employ a multi-methodological approach, tailoring the method to the research question at hand. This includes electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and eye tracking (ET).
In our research field of numerical cognition and arithmetic learning, we are investigating neurocognitive processes in ecologically more valid settings. Hence, by employing fNIRS, we can use paradigms enabling participants to sit at their desk in neurocognitive studies as if they were in a classroom. In the research field of applied computer science, we aim at identifying neural or behavioral signatures of learner states such as cognitive workload or emotional states. In our research field of neuroscientifically guided intervention, we introduce an NIRS-based neurofeedback training in a VR classroom to help school children with ADHD.