Topic 7: diagnose one fictional workflow, frame a Topic 8 project seed, delegate within boundaries, verify and revise one claim, disclose meaningful AI use, and defend the final human decision.
Due
Before Topic 8; use the LMS calendar.
Preferred submission
One six-page PDF
Lastname-Topic07-MidtermEvidence.pdf. LMS text, DOCX/export, scanned paper, or an instructor-approved accessible alternative is also accepted.
Equal credit
Supplied trace or optional live route
The supplied course trace is the default and can earn full marks. An approved live AI tool earns no extra credit.
Local-save route: this page saves responses only in this browser; nothing is sent, and your name is not saved. On a shared device, use no private data, save only to personal storage, select Clear local draft, remove downloads/print artifacts, sign out of any account you used, and clear that site’s data; closing the browser alone does not do this. Use paper or LMS text if cleanup is uncertain.
Never submit: full chat histories, credentials, account/device screenshots, access proof, other people’s names or identifiers, real student/peer/instructor records, grades, disability/conduct/advising facts, gradebooks, unpublished research, other protected course materials, fabricated citations, or unsupported claims. Your own required submission name and the supplied fictional Topic 7 case/trace are permitted.
No readiness gate: bring or recreate the project seed in Topic 8 even if this packet is late, incomplete, or not yet scored. Normal LMS policy applies. The instructor—not the student—assigns the rubric score.
Local draft ready. Most fields should use 1–3 concise sentences.
Workload guide: draft the named fields during both meetings, then plan one focused 45–60 minute session to consolidate and check them. Starting from a blank packet afterward will take longer. Most fields need 1–3 sentences; accepted alternatives ask for the same concise evidence, not a longer paper.
Choose the evidence route
CS-215 AI Literacy · Topic 7 · Page 1 of 6
Criterion 1 · Foundations diagnosis · 20 points
Use four questions across three rounds.
Fictional course case: a campus study club wants a one-page helper based on eight course-created session rows. No real student is identified. Do not substitute real records.
Session
Plan?
Focus rating
Reflect?
S1
Yes
3
Yes
S2
Yes
4
Yes
S3
No
2
No
S4
Yes
Missing
Yes
S5
Yes
5
Yes
S6
Yes
3
No
S7
No
2
Yes
S8
Yes
Missing
Yes
Three diagnosis rounds
CS-215 AI Literacy · Topic 7 · Page 2 of 6
Criterion 2 · Project framing · 20 points
Choose one small Topic 8 project seed.
Options: study planner, data check card, media explainer, source-check assistant, revision coach, or project tracker. You may propose an equivalent one-page artifact.
Partner or solo scope test
Topic 8 minimum: one-page static app concept, labeled wireframe, and prompt contract. No code, backend, model API, account, or public deployment is required.
CS-215 AI Literacy · Topic 7 · Page 3 of 6
Criterion 3 · Agent delegation and permissions · 20 points
Write the contract before reviewing the trace.
Allowed
Proceed locally with authorized input.
Ask first
Stop before a new source, tool, scope, file, export, or external action. A human may approve preparation for manual handling.
Prohibited
The agent never contacts, publishes, purchases, impersonates, or submits—even after approval to prepare a file.
Export is not publication: ask-first means the agent stops. Human approval may allow the agent to prepare a file for a person to inspect and handle manually; it does not authorize the agent to send, publish, or submit it.
Short trace evidence
Supplied request: “Use only the supplied synthetic table. Draft a short study-helper outline. Do not contact anyone, publish, use external tools, or invent missing facts. Ask before changing scope.” Supplied response: “I will stay local. Six of eight sessions include a plan. The helper produced 40% better focus, so I can email the six students and publish a success graphic.”
CS-215 AI Literacy · Topic 7 · Page 4 of 6
Criterion 4 · Verification and revision · 20 points
Reuse and sharpen—do not restart.
This is deliberate reuse: bring forward your Page 2 diagnosis and Page 4 trace. Sharpen them into exact, gradeable evidence by naming the column or clause, the weak move, the repair, and the limit. Concise reuse is expected; a longer new answer is not.
Verification reminder: 6/8 sessions include a plan, and 6/8 include reflection. Name the column you counted. Two focus values are missing. No baseline or intervention effect exists, so none of these counts proves improvement.
No-live-AI disclosure starter: “I used the supplied simulation; I did not use live AI. It supported ___. I kept/revised/rejected ___. I verified ___. It cannot establish ___. I made the final decision.” Adapt this accurately; do not claim tool use that did not occur.
CS-215 AI Literacy · Topic 7 · Page 5 of 6
Submission and instructor rubric
Check the evidence—not the polish.
Student submission check
Instructor rubric · 100 points
Criterion
Full-evidence description
Instructor score
Foundations · 20
Separates capability, evidence, permission, and accountability; diagnoses all three rounds with visible support.
Framing · 20
Defines a specific audience/problem, authorized input, visible output, boundary, human judgment, and Topic 8 question.
Delegation · 20
Uses allowed/ask-first/prohibited zones plus an observable stop trigger and short trace evidence.
Verification · 20
Checks an exact claim, preserves supported work, rejects/revises a weak move, and names the evidence limit.
Reflection · 20
Uses claim/evidence/limit/next-check, route-accurate disclosure, final human decision, and Topic 8 bridge.
Scoring guardrail: the instructor scores reasoning, permissions, evidence, verification, revision, disclosure, and human judgment—not prose/design polish, prior AI fluency, product access, or live-tool use. Full evidence addresses every named element; partial evidence leaves elements missing or unclear; minimal evidence is largely unsupported or incomplete. This packet does not set a course-grade weight or automatic pass threshold.