Project Ops

Study Time — Historical Track Audit

Project operations source: Study Time — Historical Track Audit.

This is historical evidence, preserved on 2026-09-09 from source checkpoint ffa93c5. The matching Astro checkpoint is ed8da15. The original outline below is retained as planning evidence, not another current curriculum inventory or a commitment to build every named idea.

The current Track Guide and shared Track Map carry the current composition: AI for Learning as signature, learning through practice at the center, and learning-tool creation as an optional branch.

Next Artifact Pass — Evidence and Unresolved Questions

  • AI for Learning: Tutor, Quizmaker, Simulator remains Seed / Planned and Unassigned. Its source is a short planning seed, with no guided tutoring lesson or signature facilitator guide. The Track remains Draft / Drafting and Unassigned.
  • The signature still names Trust, But Check the Wires (Seed / Planned) as a dependency. Its primary Track remains Creative AI Makerspace, with AI Literacy related; Study Time is not yet reciprocal metadata. The Track pass preserves these facts rather than reassigning the module.
  • Guided study practice is a descriptive missing Lab candidate, not an approved title or source package. Its Activity, reviewed source/example packet, self-contained Notebook, and live-use and supplied-example routes need design.
  • Module to Interactive Single-Page Application remains Beta, owned by Mike, primary to AI for Learning and related to Context Engineering. Its Track metadata still names Makerspace and AI Literacy, not Study Time. Here it is an optional module-owned branch, not the signature study Lab or a live AI tutor.
  • The existing prototype is deterministic context practice. Its learner and facilitator guides accept using and critiquing the supplied tool as a complete non-coding path. The Activity and Notebook also ask for builder-oriented evidence such as a source module, learning-action design, and a runnable prototype. Resolve the completion mismatch before calling it an aligned learner package; keep coding optional.
  • Rendered handoff review also found that the existing prototype’s breadcrumb says “Lab Notebook,” although the prototype and Notebook are separate destinations. Keep the Track’s links distinct and repair that existing package/navigation label in the subsequent artifact pass.
  • The Activity lists 60–120 minutes overall and a 25-minute short option; the facilitator guide proposes 60 minutes. These are planning estimates, not pilot evidence. Technical, accessibility, and learner-pilot reviews remain open. Demo source files are not proof of a ready demonstration; the Lab material registry still marks videos Coming Soon.
  • Prompting and Conversation Engineering remain Sketch / Planned, primary to AI Literacy. One Task, Three Conversations remains Beta and module-owned. Conversational Privacy remains Sketch / Planned with an explicit Study Time relationship; its Beta What Does the Tool Need? remains related only to AI Literacy and uses a fictional business task, not a study-specific packet.
  • Safety and Reality Check remain Draft / Drafting, primary to AI Literacy and related to Curiosity. Their Study Time support roles are candidate handoffs, not reciprocal metadata changes.
  • Relationships with Conversational AI remains Sketch / Planned and adult-focused, primary to AI Literacy and related to AI Readiness. Its explicit requirement for separate youth evidence and safeguarding review must remain visible. Do not repurpose its adult materials as a child-ready tutoring lesson.
  • Current Events Need Current Context and History Beyond the First Answer remain Ideation / Deferred with Study Time relationships. Their Alpha Labs remain idea packages with missing examples, protocols, Notebooks, and learner/facilitator guides; an Alpha label does not mean a runnable class.
  • Explaining at Different Levels, Study Prompt Patterns, Building a Quiz, and Creating a Simulation are proposed directions with no module sources. They may belong inside the signature rather than in new standalone modules.
  • Checking the Answer and Learning Without Cheating remain historical module ideas. Checking and allowed-help boundaries are now part of the Track loop and participation guidance; this does not create or complete either module. The other original Lab ideas remain evidence below, not a second current inventory.
  • Select a bounded first learning goal and reviewed references before building the signature practice. Test understanding with a learner explanation or fresh attempt, not a polished AI answer or unvalidated answer key. Record uncertainty and routes to human help.
  • Age range, school-policy boundaries, tool access, consent/safeguarding, appropriate examples, source-checking routines, and teacher/facilitator variants remain open. Do not collect grades, private transcripts, or identifying school data to establish pilot evidence.

Original Track Guide Snapshot

Study Time — Original Outline

Status: Working track outline, not finished curriculum.

This track teaches learners how to use AI to create personal learning tools: tutors, quizzes, study guides, simulations, flashcards, practice conversations, and custom explanations. It should make learning more active, not make the AI the authority.

The invitation is empowering. Learners can ask for help at their level, request different examples, practice without embarrassment, and build tools that match how they learn. The human still owns understanding.

Audience: Students, parents, adult learners, tutors, teachers, homeschool groups, and self-directed learners.

Purpose: Teach safe, effective AI-supported learning and study-tool creation.

Likely Modules

Starter Lab Ideas

  • Turn a topic into a quiz and answer key.
  • Ask for explanations at different levels.
  • Build a role-play simulator for practice.
  • Remove unnecessary identifying detail from a tutoring or study prompt.
  • Decide when an AI tutor is useful and when a teacher, caregiver, professional, or trusted person is needed.
  • Compare an AI answer to a trusted source.

Additional Reading

No additional reading is listed yet.

Dependencies

  • Basic AI literacy.
  • Prompting basics.
  • Verification habits.
  • Privacy and academic-integrity boundaries.
  • Conversational privacy for school, family, and health-adjacent learning examples.
  • Task-specific trust for AI tutors, simulators, and study companions.

MVP Holes

  • Define learner age ranges and school-policy boundaries.
  • Decide how to address cheating without making the track punitive.
  • Create source-checking routines for study materials.
  • Decide whether teacher/facilitator versions need separate outlines.

Source: ops/track-audits/study-time.md