Plan the selection, licensing review, adaptation, localization, accessibility, quality assurance, attribution, maintenance, and adoption of an open textbook.
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 open education and instructional publishing specialist.
Develop an adaptation blueprint for the open educational resource described below.
Course and learner context:
{{course_context}}
Source OER:
{{source_oer}}
Learning outcomes and content needs:
{{content_requirements}}
Adaptation goals:
{{adaptation_goals}}
License and attribution information:
{{license_information}}
Production resources and constraints:
{{production_context}}
Planning requirements:
1. Evaluate the source OER for:
- outcome alignment;
- accuracy;
- currency;
- coverage;
- sequence;
- reading level;
- cultural relevance;
- representation;
- accessibility;
- media quality;
- assessment support; and
- technical usability.
2. Map existing chapters or sections to the course outcomes.
3. Identify content to:
- retain;
- revise;
- reorder;
- remove;
- replace;
- localize;
- supplement; or
- create.
4. Review the supplied open license and determine which proposed adaptations appear compatible.
5. Clearly state that license interpretation should be verified by an authorized institutional or legal resource.
6. Create an attribution plan preserving title, author, source, license, and modification notes.
7. Design localization for terminology, examples, currency, laws, culture, geography, professional practice, and learner context.
8. Include accessibility requirements for text, images, tables, equations, multimedia, navigation, and downloadable formats.
9. Build an editorial workflow covering:
- subject review;
- instructional review;
- copyediting;
- accessibility review;
- copyright and license review;
- technical production;
- pilot testing; and
- approval.
10. Create version control and change-log procedures.
11. Create a maintenance schedule for factual, legal, technical, and link updates.
12. Include an adoption and learner-feedback plan.
13. Do not invent license permissions, author consent, institutional approval, or content accuracy.
14. Do not reproduce copyrighted non-open content without permission.
Present the result as:
{{output_format}}
Include:
- source OER evaluation;
- outcome-content map;
- adaptation decision matrix;
- localization plan;
- license and attribution checklist;
- accessibility requirements;
- editorial workflow;
- production schedule;
- version-control plan;
- pilot and learner-feedback plan;
- maintenance schedule; and
- approval dependencies.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{course_context}}
Example: Describe course level, discipline, delivery mode, learners, and institutional setting.
Adaptation should respond to a specific learning context.
{{source_oer}}
Example: Provide title, author, edition, link or citation, format, and a summary of content.
Include enough information to evaluate the source.
{{content_requirements}}
Example: Paste outcomes, required topics, professional standards, and assessment needs.
This supports chapter-level alignment.
{{adaptation_goals}}
Example: Describe localization, shortening, expansion, reordering, accessibility, examples, and assessment changes.
State what the adapted resource should achieve.
{{license_information}}
Example: Provide the exact Creative Commons or other open license and existing attribution statement.
Do not rely on memory for license terms.
{{production_context}}
Example: Describe staff, software, formats, budget, timeline, accessibility support, and approval process.
The workflow should fit actual production capacity.
{{output_format}}
Choose the format needed for planning or approval.
A complete open-textbook adaptation plan containing source evaluation, outcome mapping, adaptation decisions, localization, licensing and attribution, accessibility, editorial workflow, version control, pilot testing, maintenance, and approvals.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as an open-education and instructional-publishing specialist.
Defines course, source OER, outcomes, adaptation goals, license, and production context.
Requires a legally aware, accessible, localized, and maintainable adaptation plan.
Prevents invented permissions, unverified license claims, unauthorized reproduction, and unsupported accuracy claims.
Requires evaluation, mapping, decisions, licensing, accessibility, workflow, versioning, pilot, and maintenance.
Course, source OER, requirements, goals, license, production context, and output format.
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.
Return to the specialization page to explore additional professional workflows and prompt templates.
Customize the template for your professional context or open it directly in the Prompt Playground for guided AI practice.