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EEG Data on Online Lecture Comprehension
Data Science and Analytics
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About
Captures raw Electroencephalography (EEG) data and resulting brain waves from students engaged in an online learning environment. The experiment was conducted during the Covid-19 lockdown, recording data using an Emotiv Epoc X 14 channel headset. Participants included high school, middle school, and undergraduate students. The primary purpose is to allow analysis of neuro-physiological responses to educational videos, supplemented by a crucial binary variable indicating whether the student ultimately understood the lecture material. This dataset provides a unique resource for modelling cognitive processes and optimizing digital instruction methods.
Columns
The primary data file,
EEG_data.csv, contains 87 columns derived from the experiment:- video_id: An index variable corresponding to the specific online lecture video used during the recording.
- subject_id: An index variable identifying the student who participated in the experiment.
- Columns 3-16: Raw EEG data captured from the 14 sensors (e.g., EEG.AF3, EEG.F7, EEG.T7, EEG.O1).
- Columns 17-86: Contains five distinct brain wave measurements for each of the 14 sensors.
- Column 87: A binary variable (1 or 0) indicating the subject's understanding of the lecture (1 = Understood the lecture | 0 = Did not understand the lecture).
Auxiliary data on subject and video details are available in separate files (
Subject details.csv and Video details.csv).Distribution
The dataset is provided in CSV format. The main file,
EEG\_data.csv, has a file size of 56.18 MB. It consists of 87 columns and features 68.8k valid records. The data structure is high quality, showing zero missing or mismatched values across the tracked sensor and index variables.Usage
Ideal applications include developing machine learning models to predict student understanding based on brain activity, researching patterns of cognitive load in distance learning settings, and performing neuroscientific studies related to attention and information retention through video lectures. The data is also suitable for academic research into the efficacy of digital education platforms.
Coverage
The data was collected during the Covid-19 lockdown period. Participants represent varied educational stages, including high school, middle school, and undergraduate students. Based on associated tags, the geographic scope is referenced as the Middle East.
License
CC0: Public Domain
Who Can Use It
This data is intended for educational researchers interested in neuroscience applications, data scientists building predictive models for academic outcomes, public health researchers examining student stress and engagement, and institutions seeking evidence-based improvements for their distance learning curriculum.
Dataset Name Suggestions
- EEG Data on Online Lecture Comprehension
- Distance Learning Student Brainwaves
- Neuro-physiological Study of Distance Education
- Student Engagement EEG Metrics
Attributes
Original Data Source: EEG Data on Online Lecture Comprehension
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