Backward Design Course Mapping Framework
Map a course from desired learning outcomes to acceptable evidence, assessment strategy, learning experiences, sequencing, and alignment checks.
Design aligned curricula, learning experiences, competency frameworks, assessments, and instructional resources.
Choose a prompt to view the complete template, customization variables, expected output, Prompt Characteristics, and Prompt Anatomy.
Map a course from desired learning outcomes to acceptable evidence, assessment strategy, learning experiences, sequencing, and alignment checks.
Create a cross-curricular scope and sequence map that identifies progression, prerequisites, repetition, gaps, interdisciplinary links, and transition expectations across grades or levels.
Audit curriculum, instruction, assessment, materials, and technology for UDL alignment, accessibility barriers, equitable participation, and prioritized remediation.
Design an authentic performance task aligned to outcomes and appropriate cognitive demand, with real-world context, evidence, constraints, rubric criteria, scaffolds, and transfer.
Plan the selection, licensing review, adaptation, localization, accessibility, quality assurance, attribution, maintenance, and adoption of an open textbook.
Define a defensible micro-credential with explicit competencies, performance evidence, rubric levels, verification, metadata, renewal, and quality-assurance requirements.
Design a concise corporate microlearning experience with a single performance objective, realistic scenario, short content sequence, practice, feedback, job aid, and transfer check.
Sequence a complex technical concept from prerequisite knowledge and mental models through worked examples, guided practice, fading, independent application, and transfer.
Map a coherent assessment system across diagnostic, formative, and summative purposes, ensuring outcome coverage, timing, feedback, progression, validity, and manageable workload.
Create a controlled workflow for using generative AI to adapt curriculum materials while preserving outcomes, accuracy, accessibility, privacy, academic integrity, and human review.
Each prompt page combines a ready-to-use template with guidance that helps you understand, customize, and improve it.
Copy a professionally structured prompt that includes the task, constraints, context, and required output.
See exactly which details to replace with your own professional context, data, or project requirements.
Understand what the AI should produce and how the response should be organized.
Review reasoning depth, creativity, customization requirements, and output structure.
Learn how the role, context, task, constraints, variables, and output instructions work together.
Improve relevance and reliability by supplying better context and refining important details.
Return to the profession page to explore its other specializations, or use the Prompt Builder for a guided experience.
Use the guided Prompt Builder to choose your profession, specialization, scenario, goal, and output format.