TBR AI EXCHANGE
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Submitter’s Name/Email
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Activity Purpose (assessment, data collection, classroom management, etc.)
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The quality of AI-generated content depends largely on the quality of the prompt. These practical strategies can help faculty create more accurate, consistent, and useful responses while maintaining instructional quality.
Begin by telling the AI who it should act as, such as an instructional designer, subject matter expert, librarian, or community college instructor.
Explain the course, audience, assignment, learning objectives, and instructional purpose before asking the AI to generate content.
Tell the AI who the content is intended for, such as first-year students, nursing majors, adult learners, or developmental education students.
Clearly specify the format you want, such as a rubric, lesson plan, HTML page, quiz, discussion prompt, study guide, or spreadsheet.
Specify word limits, reading level, accessibility requirements, formatting expectations, citation style, or other constraints that should guide the response.
When possible, provide a sample of the type of output you want. AI generally produces more consistent results when it has a model to follow.
Ask the AI to organize its work into logical steps or explain how it arrived at recommendations when appropriate.
Treat prompting as an iterative process. Refine instructions, ask follow-up questions, and request revisions until the output meets your instructional needs.
Always verify the accuracy, clarity, accessibility, and instructional alignment of AI-generated content before sharing it with students.
Save prompts that consistently produce high-quality results. Reusable master prompts reduce repetitive work, improve consistency, and create efficient instructional workflows across multiple courses.
Many effective prompts include the following components:
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Context
Task
Audience
Requirements
Output Format
Constraints
Review Criteria