Researcher onboarding
AIPLA researcher guide — R1
A researcher account layers cross-teacher, read-only views and a rubric experimentation workspace on top of the normal teacher surfaces. You observe across every teacher and class; you do not edit their work. Researcher access is a role an administrator grants to your account (see Getting access below).
What a researcher can do
Two capabilities beyond a normal teacher account:
- Observe across the whole cohort — every teacher’s classes, activities, engagement and cost, read-only.
- Experiment with rubrics — author and version the judge prompts (lenses) used to score student sessions, and run a judge over a captured session.
Everything a researcher sees across teachers is observation only — nothing in the cross-teacher views is editable.
Getting access
The researcher role is a claim an administrator sets on your account (via aiplatform users grant-researcher <uid>). Once granted, sign out and back in so your session picks up the new role. You will then see a Research item in the sidebar and extra controls described below. Without the role, these surfaces show a “Researcher access required” message.
Cross-teacher observation
- Research (activity scan) — the Research sidebar item opens a read-only scan of every teacher’s activities, in every state (Draft / Private / Shared), with the owner shown. Use it to see what is being built across the cohort.
- Research view (classes) — on Classes, a My classes / Research view toggle switches the list to every teacher’s classes; pick one to drill into its sessions.
- Insights across all teachers — on Insights, a My classes / All teachers scope toggle widens the engagement comparison to the whole cohort.
- Cost — a researcher-only Cost tab under Insights breaks cross-class spend down by cohort, model, voice (speech-to-text / text-to-speech) and class, over a period you choose.
Rubric experimentation
Under Settings, the Research · judge lenses panel is where you shape and test how student sessions are scored:
- Judge lenses — for each lens you can enable/disable it, choose the judge model, inspect the default prompt, and write a judge prompt override. Saving an override bumps its version, so you can iterate on the wording and keep the history. Reset to default reverts it.
- Experiment — score a captured session — paste a session id, pick a lens, and Run judge to see the score profile that lens produces on real data (or an “Abstained” result when the lens declines to score).
This is the workflow for developing the capability-floor rubrics: change a lens prompt, run it against known sessions, compare the profiles, and promote a version when it behaves.
Next steps
- The teacher-facing surfaces work as documented in T1–T4; the researcher views sit alongside them.