Student Performance in GUI, Robot, and Digital Twin Drawing Tasks

69 first-year Computer Science students were randomly assigned to three groups to complete drawing tasks using a GUI, a physical robot, or a Digital Twin. The dataset includes anonymized participant data, group assignments based on prior performance bands, and task evaluation results. The study was conducted by Michael Heeney and published on figshare in 2026.

Use Cases

• Compare learning outcomes based on the use of GUI, physical robot, or Digital Twin environments mentioned in the description.
• Analyze the relationship between prior student competency levels and task performance in different experimental conditions.
• Study the methodological challenges of comparing task completion times across hardware and software-based programming interfaces.

Strengths

• Dataset is based on a controlled study with 69 participants randomly assigned to three groups of 23.
• Participant allocation was stratified using prior assessment data to reduce performance imbalance between groups.
• All student responses were anonymized prior to analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 28.6 KB, indicating limited scope.

Provenance

Source

figshare, author Michael Heeney

Collection Method

Experimental study with first-year undergraduate Computer Science students.

Freshness

Last updated 2026-05-22 08:24:11; freshness should be verified.