VR and AR Impact on STEM Student Performance Study

A quasi-experimental study investigates the effect of virtual and augmented reality tools on student learning in STEM fields. The research involves 58 students and compares pre- and post-test scores between experimental and control groups. The dataset was authored by Krenare Pireva Nuci and published on figshare in April 2026.

Use Cases

• Analyze the correlation between Perceived Usefulness and Behavioral Intention scores from the TAM questionnaire.
• Compare post-test score distributions between the experimental (VR/AR) and control (conventional instruction) groups.
• Model Behavioral Intention to use VR/AR based on Perceived Usefulness and Perceived Ease of Use metrics.
• Examine the statistical significance of learning outcome improvements using independent-samples t-test results.

Strengths

• Provides pre-test and post-test scores for 58 students, enabling before-and-after analysis.
• Includes Technology Acceptance Model (TAM) questionnaire results with specific mean scores for three constructs.
• Reports a statistically significant positive correlation (r = 0.618, p < 0.001) between Perceived Usefulness and Behavioral Intention.

Limitations

• Small sample size of 58 students limits statistical power and generalizability of findings.
• Dataset scope is limited to a single study's results, contained within an 831.4 KB PDF file.
• Specific raw data columns and individual student records are not provided in a structured, machine-readable format.

Provenance

Source

figshare

Collection Method

Data collected via pre- and post-tests and a Technology Acceptance Model questionnaire as part of a quasi-experimental study.

Time Range

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Freshness

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Geography

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