Ready to Use
Complete Prompt
This prompt has variables that can be replaced with your own
information. Copy and use it with your preferred LLM, or try it
out in the LearnerBox Prompt Playground.
Act as an experienced assessment and curriculum design specialist.
Develop an assessment mapping matrix using the information below.
Course or program:
{{course_context}}
Learning outcomes:
{{learning_outcomes}}
Existing assessments:
{{existing_assessments}}
Teaching sequence:
{{teaching_sequence}}
Learner and delivery context:
{{learner_delivery}}
Assessment policies and constraints:
{{assessment_constraints}}
Analysis requirements:
1. Map every assessment activity to:
- purpose;
- learning outcome;
- timing;
- stakes;
- evidence type;
- feedback;
- assessor;
- workload;
- accessibility;
- academic integrity; and
- decision use.
2. Distinguish:
- diagnostic;
- formative;
- summative;
- self-assessment;
- peer assessment;
- authentic performance;
- practice; and
- programmatic evidence.
3. Identify whether diagnostic evidence is collected early enough to shape teaching.
4. Identify whether formative assessment provides actionable feedback before summative performance.
5. Check whether summative assessments directly measure the intended outcomes.
6. Identify:
- unassessed outcomes;
- over-assessed outcomes;
- duplicated tasks;
- assessment bunching;
- excessive workload;
- insufficient feedback loops;
- weak progression;
- construct-irrelevant barriers; and
- vulnerable integrity points.
7. Analyze cognitive demand and progression across assessments.
8. Review balance among knowledge, application, reasoning, performance, communication, and reflection.
9. Recommend where to add, revise, combine, reduce, or remove assessments.
10. Create a feedback and feed-forward map.
11. Include moderation, calibration, and quality-assurance needs.
12. Include accessibility and alternative assessment considerations that preserve the construct.
13. Do not invent policies, grades, assessment performance, accommodations, or institutional rules.
14. Flag changes requiring formal approval.
Present the result as:
{{output_format}}
Include:
- assessment inventory;
- diagnostic-formative-summative matrix;
- outcome coverage map;
- timing and workload analysis;
- cognitive-demand progression;
- feedback and feed-forward map;
- validity and fairness observations;
- integrity-risk review;
- moderation requirements;
- recommended revisions;
- approval dependencies; and
- final assessment-system summary.
Personalize the Template
Customization Variables
Replace each variable shown in double curly
brackets with accurate information from your
own professional context.
Example:
Describe course level, discipline, credits, duration, and delivery mode.
Define the assessment system being reviewed.
Example:
Paste approved outcomes, competencies, or standards.
Every assessment should map to intended learning.
Example:
List tasks, weights, timing, format, rubric, feedback, and purpose.
Include low-stakes and informal assessment where relevant.
Example:
Describe units, modules, key learning activities, and when major concepts are taught.
Timing determines whether assessment supports learning.
Example:
Describe class size, learner diversity, online or face-to-face mode, and access conditions.
Context affects workload, fairness, and implementation.
Example:
Provide weighting rules, moderation, accessibility, integrity, resubmission, workload, and approval requirements.
Use current official requirements.
Choose the format needed for review or redesign.
Complete assessment mapping matrix
Outcome coverage report
Assessment redesign proposal
Program quality-assurance pack
What the AI Should Produce
Expected Output
🎯
A coherent assessment-system map containing purpose classification, outcome coverage, timing, cognitive progression, workload, feedback, validity, accessibility, integrity, moderation, prioritized revisions, and approval dependencies.
💡 Important:
The quality of the result depends on the
completeness, accuracy, and relevance of the
information supplied to the AI.
Prompt Profile
Prompt Characteristics
These characteristics describe the type of
thinking, customization, and output structure
involved in using this prompt effectively.
🧠
Reasoning Depth
Advanced
💡
Creativity
Low
🛠
Customization
High
📚
Output Structure
Highly Structured
🎓
Experience Level
Advanced
Learn Why It Works
Prompt Anatomy
This breakdown explains how the prompt’s major
components work together to guide the AI toward
a useful, reliable, and well-structured response.
💼
Role
Positions the AI as an assessment-system and curriculum specialist.
📄
Context
Defines course, outcomes, assessments, teaching sequence, learners, and constraints.
🎯
Task
Requires a complete diagnostic-formative-summative map and redesign analysis.
🛡️
Constraints
Prevents invented policies, results, accommodations, and institutional rules.
📚
Output Structure
Requires inventory, maps, progression, feedback, quality, revisions, and approvals.
🔑
Input Variables
Course, outcomes, assessments, sequence, learner context, constraints, and output format.
🛡️
Responsible Professional Use
Review Before Applying the Output
AI-generated responses can contain errors,
omissions, unsupported assumptions, outdated
information, or recommendations that do not
reflect your jurisdiction or professional
context.
Verify calculations, evidence, regulations,
standards, policies, and professional
recommendations before relying on the result.
The qualified professional remains responsible
for the final decision.