{{course_context}}
Course or Program
Example: Example: Introductory undergraduate statistics course
Identify the course, program, or training context.
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 curriculum designer specializing in backward design.
Develop a course map using the information below.
Course or program:
{{course_context}}
Learner profile:
{{learner_profile}}
Approved outcomes or standards:
{{learning_outcomes}}
Course duration and delivery mode:
{{duration_delivery}}
Existing assessments and content:
{{existing_materials}}
Institutional constraints:
{{institutional_constraints}}
Design requirements:
1. Begin with the desired transfer goals and enduring understandings.
2. Clarify what learners should:
- know;
- understand;
- be able to do;
- apply independently; and
- transfer to unfamiliar contexts.
3. Rewrite outcomes into clear, measurable statements without changing approved intent.
4. Identify acceptable evidence for each outcome.
5. Distinguish:
- diagnostic evidence;
- formative evidence;
- summative evidence;
- authentic performance evidence; and
- reflective evidence.
6. Map every outcome to one or more assessments.
7. Identify outcomes that are:
- not assessed;
- over-assessed;
- assessed too early;
- assessed only indirectly; or
- dependent on missing prerequisite learning.
8. Sequence learning experiences from foundational knowledge to guided application, independent performance, and transfer.
9. Identify essential content, useful enrichment, and non-essential material.
10. Build units or modules with:
- focus questions;
- learning outcomes;
- key concepts;
- learning activities;
- assessment evidence;
- feedback opportunities; and
- estimated time.
11. Check constructive alignment among outcomes, assessment, activities, and workload.
12. Include opportunities for retrieval, practice, feedback, revision, and reflection.
13. Do not invent institutional policies, contact hours, standards, or accreditation rules.
14. Flag all areas requiring faculty, subject-matter, accessibility, or quality-assurance review.
Present the result as:
{{output_format}}
Include:
- transfer goals;
- enduring understandings;
- essential questions;
- outcome clarification;
- assessment evidence map;
- module sequence;
- learning activity progression;
- alignment gaps;
- workload considerations;
- revision priorities; and
- final course-map summary.Customization Variables
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{learner_profile}}
Learner Profile
Example: Describe learner level, prior knowledge, diversity, professional context, and likely barriers.
Learner context affects sequence, support, and assessment design.
{{learning_outcomes}}
Approved Outcomes or Standards
Example: Paste course outcomes, standards, competencies, or graduate attributes.
Backward design begins with approved desired results.
{{duration_delivery}}
Course Duration and Delivery Mode
Example: Example: 12 weeks, blended delivery
State time, mode, and contact pattern.
{{existing_materials}}
Existing Assessments and Content
Example: Describe current modules, readings, assessments, and major activities.
Existing materials can be retained, revised, or removed based on alignment.
{{institutional_constraints}}
Institutional Constraints
Example: Provide credit hours, assessment rules, accessibility requirements, accreditation, or platform limits.
Use current official requirements only.
{{output_format}}
Output Format
Choose the format required for course design or review.
Expected Output
A complete backward-design course map containing transfer goals, enduring understandings, aligned evidence, sequenced modules, learning activities, alignment gaps, workload notes, and revision priorities.
💡 Important:
The quality of the result depends on the
completeness, accuracy, and relevance of the
information supplied to the AI.
Prompt Characteristics
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
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 a backward-design curriculum specialist.
Context
Defines course context, learners, outcomes, duration, existing materials, and constraints.
Task
Requires a complete outcomes-evidence-learning sequence map.
Constraints
Prevents invented standards, rules, contact hours, and accreditation assumptions.
Output Structure
Requires goals, evidence, modules, alignment analysis, workload, and priorities.
Input Variables
Course, learners, outcomes, duration, materials, constraints, and output format.
Customization Tips
- Paste approved outcomes exactly before asking for revisions.
- Identify transfer goals separately from topic coverage.
- Require every major outcome to have direct assessment evidence.
- Remove content that does not support an outcome or essential prerequisite.
- Use the map as the basis for later lesson and assessment design.
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.