PUF Learning • Controlled pilot

AI & Workforce Readiness Pilot

Learn, apply, measure, and improve before broader activation.

Use the production classroom and approved media. The pilot measures practical learning, confidence, usability, accessibility, and implementation quality without collecting unnecessary personal data.

Privacy-minimal pilot: Do not submit resumes, private prompts or notes, protected records, sensitive personal information, or information about another participant. Feedback is for program improvement and does not affect access.

Measure

Capture useful evidence, not surveillance.

Before/after confidence, responsible-AI understanding, completion, practical artifact creation, accessibility, and qualitative feedback inform the pilot closeout. Public reach is not counted as learner completion.

01Baseline

Record a simple 1–5 confidence rating before the learning experience.

02Learn + apply

Use the media, practice, knowledge checks, and human-review checkpoints.

03Outcome

Record post confidence, responsible-AI understanding, and whether you produced or improved a useful artifact.

04Improve

Submit usability, accessibility, strengths, defects, and the highest-priority improvement.

End-to-end QA

Ten checks determine implementation quality.

01

Media

Video loads, plays, pauses, and resumes.

02

Narration

Studio narration is clear.

03

Captions

Captions are available and readable.

04

Navigation

Modules 1–10 and direct links work.

05

Practice

Working notes function as expected.

06

Knowledge checks

Immediate feedback is clear and accurate.

07

Progress

Completion persists after refresh/return.

08

Mobile

Phone experience has no clipped or hidden controls.

09

Accessibility

Keyboard, labels, captions, contrast, and transcript are usable.

10

Trust

Synthetic-media disclosure, privacy guidance, responsible-AI prompts, and human review are clear.

Module sweep

Verify the complete 10-module experience.

Direct links preserve the same media, practice, knowledge-check, privacy, and human-review experience.

✓

Exit criteria

Critical blockers must be cleared before scale.

Media, navigation, learning checks, privacy and accessibility paths must work. Scale remains a governed decision after evidence review—not an automatic result of completing a pilot.

Close the loop

Submit feedback while the experience is fresh.

The structured response captures outcome and implementation evidence for aggregate closeout. Names are not required in the feedback template.

Governance boundary: This evaluates PUF's nonprofit AI & Workforce Readiness program. It creates no new LMS/CRM, transfers no GLS IP, and alters no 4LIU ownership. Pilot evidence supports Measure → Learn → Revise → Approve → Scale.