Brazil faces a persistent educational deficit, impacting millions of students and hindering national progress. Traditional teaching methods often fail to engage learners, leading to poor outcomes and high dropout rates. Active learning techniques show promise, but their effectiveness and optimal implementation remain largely unexplored.

Key Features:
Teacher Dashboard: Intuitive interface for educators to visualize and interpret student data, informing instructional decisions. Adaptive Learning Systems: Personalized educational tools that respond to individual student needs and optimize engagement. Machine Learning Algorithms: Sophisticated algorithms to analyze EEG data and extract meaningful insights. Data Collection Platform: Secure and scalable system for storing and managing large volumes of Educational EEG data. This platform will not only ensure data integrity and confidentiality but will also be designed with open access in mind. By making anonymized and aggregated data publicly available, we empower the Brazilian government, researchers, and educational institutions. Wearable EEG Devices: Comfortable and user-friendly headsets to collect brain data during learning activities, that can be used to address different research questions in future research.