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Impact of Virtual Reality on Education
This visualization compares learning outcomes between students using virtual reality and a control group across immersion levels. The line chart displays average learning gain by weekly VR hours, with spline-smoothed traces for each group and unified hover tooltips showing both metrics simultaneously. Built with Plotly.js and D3 for data processing, the interactive dashboard supports zooming, panning, and toggleable legend controls. The visualization draws from a Kaggle dataset of 50 students measuring VR's educational impact across demographics and subjects.
AI-generated descriptionImpact of Virtual Reality on Education
Description
This dataset explores how immersive learning (VR-based) compares to traditional teaching methods in educational settings. It measures the impact of virtual reality on student engagement, attention, and learning outcomes.
Source: Kaggle β Impact of Virtual Reality on Education by waqi786
Link: https://www.kaggle.com/datasets/waqi786/impact-of-virtual-reality-on-education
Attributes and Types
- ParticipantID β categorical (nominal). Unique identifier for each participant
- Age β quantitative (ratio). Participantβs age in years
- Gender β categorical (nominal). Gender of the participant
- Group β categorical (nominal). Experimental group (VR vs Control)
- SessionDuration β quantitative (ratio). Length of the learning session in minutes
- AttentionScore β quantitative (interval/ratio). Measured attention or focus metric
- ImmersionScore β quantitative (interval). Subjective or measured immersion level
- LearningGain β quantitative (ratio). Improvement in test scores (post minus pre)
- DeviceType β categorical (nominal). Type of VR device used
- ReportedDiscomfort β ordered categorical. Levels such as None, Mild, Moderate, Severe
- ExperimentDate β temporal (date). The date when the session was run
Visualization Ideas
- Scatterplot of ImmersionScore vs LearningGain, colored by Group (VR vs Control)
- Boxplot of AttentionScore across groups
- Bar chart showing average ReportedDiscomfort per DeviceType
- Line chart showing how SessionDuration relates to LearningGain
Notes
- Check for missing or incomplete participant data before analysis
- Normalize scores if mixing metrics with different ranges
- Treat ReportedDiscomfort as ordered (e.g., map to 0β3 scale)
- Convert ExperimentDate into proper datetime for time-based plots