Teaching Exploratory Testing with Lego Serious Play: Student Feedback and Grades

A dataset supporting research on the effectiveness of using LEGO Serious Play to teach exploratory testing concepts in a software testing course. The data includes student questionnaire responses, debriefing session notes, and grades from a lecture-based experiment. The dataset was created by Andreea Vescan and last updated on March 17, 2026.

Use Cases

• Analyze the effectiveness of LEGO-based learning for teaching exploratory testing concepts based on student grades and questionnaire data.
• Evaluate student perspectives on collaborative learning and teamwork in a software testing context based on feedback scores.
• Compare learning outcomes between students who participated in the LEGO Serious Play lecture and a control group based on statistical results mentioned in the description.

Strengths

• Dataset is openly available under a CC0-1.0 license, allowing for unrestricted use.
• The description provides a specific positive student opinion rate of 89% regarding various learning aspects.
• The research framework is clearly described, involving a dedicated lecture, team missions, and multiple analysis tools (debriefing, questionnaire, grades).

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 297.5 KB, indicating limited scope.

Provenance

Source

Andreea Vescan via figshare.

Collection Method

Data was collected from a lecture experiment where student teams used LEGO to complete a testing mission, followed by questionnaires and grade analysis.

Freshness

Last updated 2026-03-17 17:02:30; freshness should be verified.