Becoming Curious Again — Module summary & change log
Summary
Becoming Curious Again welcomes mixed-age learners, families, community groups, and educators who want to reconnect with a question that interests them. Learners choose one low-risk question, use live generative AI for a job that fits, and inspect what came back. They may operate the tool, direct a partner, or participate through a facilitator. Observation, trusted sources, conversation, and creative work can support the exploration. The learner owns the question, judgment, and next step.
Review-site publication
The September 11, 2026 GitHub Pages review deployment included demonstration followed by learner practice across self-study, Zoom, and in-person use, plus the historical-image and conversational-simulation caveats. Its curriculum checkpoint was 0c35dfa.
GitHub Pages hosts the team review version. Publication there does not mean production release or pilot approval; the module remains Draft / Drafting. The Change log below records production releases, while this section records review-site publication.
Revision notes
On 2026-09-11, made the short kickoff explicit: choose a question, choose one AI job with the capability table, follow an opening example, then complete learner practice. Retained the deeper discussion as optional preparation or follow-up. Removed the fixed context-practice SPA from the Curiosity Simulation route now that Change One Thing supplies that continuation; its Study Time tool-building location remains.
Change log
No production releases yet.
Reviewer brief: Curiosity
Read this brief alongside the learner pages, not as a replacement for them. Review the track, module, Activity, Notebook, Question Path, facilitator guide, and both Gallery walkthroughs. Use the Track Map for Curiosity inventory and continuation gaps.
- Audience and delivery: mixed experience and mixed ages; self-study, Zoom, and in-person participation. Facilitated sessions begin with a worked example, followed by learner inquiry individually, in pairs, or in groups. A shared question is valid; watching the example alone is preparation.
- Intentional requirements: one purposeful live chatbot encounter, with learner, partner, or facilitator operation. Learners own their question, inspection, and next decision. Learner accounts, recording, polished output, and public sharing are optional.
- Artifact roles: the Activity owns the complete sequence; the synchronized Notebook is an optional complete interactive alternative; the Question Path is an optional separate record. README pages hold reviewer context and history. Essential learner guidance belongs on the learner pages.
- Current limits: track and module remain Draft / Drafting; the signature lab remains Beta. Try, Check, Explain supplies an Alpha learning continuation, One Small Idea, Two Versions supplies Alpha creative play, and Change One Thing supplies Alpha simulation practice. Each has two prepared walkthroughs, not captured learner sessions. Simulation rules and numbers are invented and hand-runnable; checking the calculations does not validate them against the world. Human and learner-pilot review remain open.
- Deferred work: actual feedback delivery awaits Cloudflare/email integration. Submit currently explains that nothing was sent. Classroom-evidence collection is deferred under REN-535; roleplays and pilots have not supplied learning-effectiveness evidence for these revisions. Explainer-video, podcast, and website-world reuse remain queued.
- Review context: this is the team review site. Public reachability of contributor review pages is intentional for this pass. Completion estimates belong in facilitator guidance and remain provisional. All route text stays visible; source links open separately.
Record the date, exact source revisions or deployed release, and URLs you actually inspected. Distinguish confirmed defects, questions needing a decision, accepted constraints, and items needing classroom evidence. A documented deferral is still an open gap; assess its impact without reporting the placeholder as a promised finished feature. Flag missing or contradictory learner instructions even when this brief explains the intent. Report checks you could not perform. Automated checks, editorial review, roleplays, and learner pilots are different kinds of evidence.