District Pathways / Classroom 05
Tech & AI for Everyday Leverage
Use AI and digital tools to increase useful output while protecting privacy, verifying important claims, and keeping humans accountable.
After orientation
Learning materials
Start with orientation to review the source-first standard, privacy rules and learning process.
Start with OrientationLessons
- AI literacy: what the tool is and is not — distinguish useful generation and analysis tasks from high-stakes uses requiring stronger verification.
- A practical prompting framework — use G.O.A.L.: Goal, Observations/context, Actions/constraints, Look-for/quality test.
- Build workflows, not isolated prompts — map Trigger → Inputs → AI/human steps → Decision gate → Output → Record → Follow-up.
- Protect confidential information — classify information before choosing a tool or workflow.
- Verify before relying — sense-check, inspect sources, assess authority/currentness, corroborate, and escalate when qualified human review is needed.
- AI risk and responsible use — define use case, failure modes, testing, data/access limits, consequential decision records, and human accountability.
- Cybersecurity basics — account security, MFA, recovery methods, phishing awareness, updates, and basic incident readiness.
- Small-business AI use cases — begin with low-risk drafting, FAQs, SOPs, meeting actions, content repurposing, checklists, research planning, spreadsheet help, and training simulations.
- Your 30-Day Digital Leverage Plan — compare baseline time and quality with assisted workflow results, errors caught, privacy issues, and human review.
Deliverables
- AI Task Risk Classifier — task, stakes, data sensitivity, error cost, verification level, human approver.
- G.O.A.L. Prompt Builder — goal, context, constraints/actions, quality test, output format.
- Workflow Map — trigger, inputs, AI step, human step, decision gate, output, record, follow-up.
- Data Classification Worksheet — Public / Internal / Confidential / Highly Sensitive + approved handling rule.
- Verification Ladder Checklist — sense-check, source, authority/currentness, corroboration, qualified review.
- AI Risk Register — use case, failure mode, likelihood, impact, control, owner, review date.
- Cybersecurity Readiness Checklist — MFA, account recovery, updates, backups, phishing, device security.
- Low-Risk AI Use-Case Canvas — task, benefit, risk, data, review, evidence.
- 30-Day Digital Leverage Tracker — baseline, assisted time, quality, errors caught, privacy events, lesson, next step.
Complete these in your own notes or tools. This site does not collect your work.
Evidence and reflection
Use non-sensitive workflow maps, redacted checklists, source links, test results, or before/after summaries. Public proof should demonstrate learning without exposing confidential information.
- 01Learn
- 02Apply
- 03Show Evidence
- 04Share / Reflect
- 05Next Step