Impact 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 — 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 → categorical (nominal). Unique identifier for each participant
• Age → quantitative (ratio). Participant’s age in years
• Gender → categorical (nominal). Gender of the participant
• Group → categorical (nominal). Experimental group (VR vs Control)
• SessionDuration → quantitative (ratio). Length of the learning session in minutes
• AttentionScore → quantitative (interval/ratio). Measured attention or focus metric
• ImmersionScore → quantitative (interval). Subjective or measured immersion level
• LearningGain → quantitative (ratio). Improvement in test scores (post minus pre)
• DeviceType → categorical (nominal). Type of VR device used
• ReportedDiscomfort → ordered categorical. Levels such as None, Mild, Moderate, Severe
• ExperimentDate → 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 0–3 scale)
• Convert ExperimentDate into proper datetime for time-based plots