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Generative AI and Research

Best practices for using AI technology for research

CLEAR Framework Overview and Example Prompts

Leo Lo, Dean of the College of University Libraries at The University of New Mexico, has created a guide on assessing Generative AI prompts called the CLEAR Framework. 

CLEAR Dimensions

Examples

Concise

Brevity and clarity are essential. Avoid unnecessary details, ensuring focus on the main topic.


Example: 'Explain the process of photosynthesis and its significance.' (concise)

Instead of: 'Can you provide a detailed explanation of the process of photosynthesis and its significance?' (verbose)

Logical

Ensure a logical structure and flow of ideas within the prompt.


Example: 'List the steps to write a research paper, from selecting a topic to proofreading the final draft.'

Instead of: 'How do I write a research paper?' (unclear structure)

Explicit

Provide clear output specifications. Specify format, scope, and content explicitly.

 

Example: 'Identify five renewable energy sources and explain how each works.' (explicit)

Instead of: 'What are renewable energy sources?' (vague)

Adaptive

Prompts should be adaptable. Flexibility allows for customization based on responses.
 

 

Example: 'Examine the relationship between social media usage and anxiety in adolescents.' (adaptive)

Instead of: 'Discuss social media's impact on mental health.' (too general)

Reflective

Continuous evaluation of prompts for improvement based on outcomes.
 

 

Example: After receiving content on the benefits of a plant-based diet, refine the prompt to focus on specific benefits or dietary aspects.

Instead of: Accepting broad, less relevant responses without reflection.

You can learn more about the framework by reading the article: Lo, L. S. (2023). The CLEAR Path: A Framework for Enhancing Information Literacy Through Prompt Engineering. The Journal of Academic Librarianship, 49(4), 102720–. https://doi.org/10.1016/j.acalib.2023.102720

Videos for Writing Prompts (LinkedIn Learning)