Listen very carefully - Online tracking of auditory attention via electroencephalography (EEG) in individuals and groups of learners
From 01-10-2023 to 30-09-2027
Description
Attention plays a vital role in understanding how students learn and get distracted in classroom situations. Educational scientists study attention via post-hoc assessments (selfreports or cognitive tests), yet these are inaccurate and do not capture fluctuations in attention over time. On the other hand, biomedical engineers have recently made progress in objectively tracking attention to auditory stimuli via brain recordings such as electroencephalography (EEG), but these methods are not yet adapted to the complexity of the classroom context. We propose a strong interdisciplinary collaboration between biomedical engineers and educational neuroscientists, to develop novel EEG-based markers of auditory attention during learning. This will lead to new data-driven EEGbased algorithmic tools that quantify attention over time, both in groups and individuals. These tools will be used to identify student profiles and to investigate the 2 effects of (neurofeedback) interventions.
Team
- Alexander Bertrand, Coordinator
- Simon Geirnaert, Team member
Financing
Funding: KU Leuven - Internal Funding KU Leuven
Program/Grant Type: IDN - Interdisciplinary Networks
Events
2/09/2024:
PhD defense - Martijn Oldenhof
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3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
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Seminar by Antoine Passemiers
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