Brain Connectivity Based on EEG of Student Learning Processes Using Gen-AI

EEG dataset for analyzing brain activity and connectivity during active and passive interaction with Generative Artificial Intelligence (Gen-AI) in learning. The EEG data were collected from 15 college students aged 20 – 22 years. EEG signals were recorded while participants completed learning tasks under two experimental conditions, namely Active and Passive AI. The Active AI protocol consisted of three phases involving independent problem solving, AI-assisted idea generation, critical evaluation, and solution refinement. The Passive AI protocol consisted of guided interactions in which participants copied predefined prompts into the AI without actively evaluating the responses. Behavioral responses, written answers, prompts, confidence ratings, and EEG recordings were collected throughout all experimental phases.