How to Use Blackboard Module Map from Course Inventory (No Invented Grades Not Grading Advice)

This guide shows how to run the PromptDig prompt Blackboard Module Map from Course Inventory (No Invented Grades Not Grading Advice) from a locked source packet so you get a usable draft without invented citations, stats, or identifiers. The prompt is built for ChatGPT, Claude, and Gemini. Open it on PromptDig, paste your Inputs, and keep every claim auditable.

What this prompt is for

The job titled Blackboard Module Map from Course Inventory (No Invented Grades Not Grading Advice) is a narrow domain workflow. It asks the model to work only from your Inputs, mark gaps as NOT IN INPUTS or UNKNOWN, and refuse to invent evidence. That matters when you need a first draft that a human can audit against a packet, not a polished story with fake footnotes. Goal: Turn a Blackboard course inventory into a module map only. Not grading advice. No invented grades, completion rates, or quiz scores beyond the inventory.

Blackboard uses Content Areas, Learning Modules, Assessments, and Rubrics rather than a generic LMS dance. Lock Version so the module map does not claim AI rubric APIs the Learn Ultra 2024 era does not support. Paste module stubs and content cues only. If grades are missing, write NOT IN INPUTS instead of guessing completion. Not grading advice.

Before you open the model

1. Gather the Inventory packet you will lock (notes, requirements, outcomes, inventory lines, or baselines). Prefer plain text you can paste.
2. Lock Version for the tool named in the title. If unnamed, write unknown.
3. List Banned words and a Never invent list that matches the title boundary (no invented rates, IDs, scores, or owners).
4. Choose Format and Language. Keep Extra fields UNKNOWN if you do not have an escalation path yet.
5. Confirm the deliverable boundary matches the title so the model does not drift into captions, exam dumps, or advice.

Step-by-step run

1. Open Blackboard Module Map from Course Inventory (No Invented Grades Not Grading Advice) on PromptDig and copy the prompt text.
2. Replace every [bracket] field with your real Inputs. Do not leave sample nouns in place.
3. Paste into your model of choice. If the model starts inventing, stop and restate the Never invent list at the top of a follow-up.
4. Read the honesty ledger first. Confirm Version, Workspace, SpecNames, Lang, and Forbidden items match what you locked.
5. Accept only the map or checklist rows that quote Inventory nouns. Anything that cannot be traced should be cut or marked NOT IN INPUTS.
6. Use the gaps list as your homework. Fill those five owed fields before a second pass.
7. Run the compliance pass: quote Banned and Never hits, cut them, and print counts when Cap is numeric.

Quality checks

• No invented citations, DOIs, CTR, attendance, reviews, nutrition facts, part numbers, scores, or owners.
• No emojis in the deliverable unless your Format explicitly allows them.
• Version lock honored; refuse newer tool features than the Version you named.
• SpecNames only; unnamed items stay NOT IN INPUTS.
• Gaps list has five concrete owed fields, not vague advice.

Related PromptDig links

Browse more prompts on the Browse more prompts page when you need adjacent jobs. If you built a better variant, Share a prompt so others can reuse it. Keep returning to Blackboard Module Map from Course Inventory (No Invented Grades Not Grading Advice) when this exact deliverable is what you need.

Use this prompt when you want a structured first pass that stays faithful to a locked inventory. Keep the model inside the job boundary named in the title. If you need a different deliverable, pick another PromptDig prompt rather than stretching this one. After you fill the gaps list, rerun with only the new Inputs. That habit keeps drafts short, auditable, and ready for human review without invented evidence.

Keep every claim auditable against Inputs. Prefer short sections over fluff. If a field was blank, write NOT IN INPUTS rather than guessing. Lock any tool version named in Inputs; if unnamed, write unknown. Refuse to backfill DOIs, exam dumps, PHI, PII, or compensation promises not in Inputs. Character and byte caps in the job are hard; print counts when relevant. End every pass with the five-bullet gaps list so the next human edit has a clear queue. When you rerun, paste only the missing Inputs rather than rewriting the whole brief. A second pass should shrink invention risk, not expand scope into captions or advice.