An anonymized, reproducible view of how learners perform in deterministic Modbus, PID, instrumentation and multimeter challenges. No self-reported scores and no personal data.
Saved attempts
0
Pass rate
Withheld
Average score
Withheld
Current aggregate
Updated July 26, 2026
Public lab runs work immediately. Each aggregate appears only after at least 5 authenticated, server-graded attempts, without inventing a baseline.
Run the Modbus labChallenge rows appear only after at least 5 saved attempts. User names, emails, project payloads and IP addresses are never included.
The backend recomputes every score from bounded inputs. A browser cannot submit its own pass state, score or PID performance metrics.
The aggregates are available as CSV and JSON under CC BY 4.0. Cite and link to this methodology page when reusing the dataset.
Methodology
Population. Authenticated attempts saved after a learner runs a supported public industrial lab. Anonymous runs are deliberately excluded because they cannot be deduplicated or attached to durable training evidence.
Pass rate. The percentage of attempts meeting the challenge’s fixed acceptance criteria. PID scores are continuous and also require stability and final-error limits; protocol and measurement exercises use explicit checks.
Limitations. This is product-usage data, not a representative survey of every automation learner. Challenge mix, returning learners and curriculum changes can shift the aggregate. Raw personal attempts are not published.
Reuse and teach
Use the manual and LMS roster as teaching starting points, or cite the benchmark in research and resource roundups. Keep the attribution link so readers can inspect the current method and data.
Open educator lab manual
Markdown · CC BY 4.0
LMS assignment roster
CSV · import-ready
Benchmark citation
BibTeX · attribution
Embeddable chart
Paste this attributed iframe into an educator resource, article or research page. The embed stays current and links readers to the method.
Preview embed