THE COMPANION
SECTION 18
ISSUE 001
Evidence-Based Tutor Progress
Projection: Tutor dashboards may infer mastery from demonstrated work, then expose uncertainty and test their own forecasts against independent assessments. Current AI adoption says little about measurement quality. The product becomes credible when its predicted skill gains remain calibrated across learners, subjects, and subsequent evaluations.
Why this idea is here
What the evidence establishes.
The cited captures document enterprise AI and scientific-workbench adoption. They do not establish Evidence-Based Tutor Progress as a deployed mechanism. The adoption test is whether tutor dashboards predict verified skill gains and calibrate uncertainty against assessments.
Source ledger
Read the sources.
- S01Economy | The 2026 AI Index Report
academic index / dated 2026-04 / retrieved 2026-07-10
- S02PwC is deploying Claude to reinvent enterprise functions
company partnership / published 2026-05-14 / retrieved 2026-07-09
- S03The next phase of enterprise AI
company disclosure / published 2026-04-08 / retrieved 2026-07-09
- S04Claude Science, an AI workbench for scientists
company announcement / published 2026-06-30 / retrieved 2026-07-09