Generative AI presents both opportunities and challenges for creating and adapting open educational resources (OER). Gen AI tools can help generate and refine content efficiently, but the outputs require careful review for accuracy, bias, and alignment with educational goals.
For this activity, you will create a single-page section for an open textbook in your field.
- Choose a Generative AI model such as ChatGPT-4, Claude, or LLaMA.
- Select a topic in your area of expertise where you can assess the quality of the content.
- Use a structured prompt to generate a detailed textbook section. Example: “As a psychology professor, write a 1000-word, highly detailed textbook section for first-year college students on the science and theory of happiness. Include learning objectives at the beginning and a glossary of key terms at the end.”
- Review the AI-generated content for accuracy, clarity, bias, and completeness.
- Reflect on its usefulness as an OER and share your insights. What needs to be considered—ethically and practically—when using GenAI to create OER?
Examples
The sample prompt was used to create this textbook section: The Science and Theory of Happiness
Adapted from AI in Education Challenges created by Lucas Wright. Used with Permission.
Image Credit: Image used on featured image: 2008-01-26 (Editing a paper) - 31 by Nic McPhee (CC BY SA)
Generative AI (GenAI) is rapidly transforming how we conduct research, scholarship, and teaching and learning. Permitted use of GenAI in these areas is constantly shifting and dependent on the organizations or instituions for which you are engaging. Before sharing any outputs of your GenAI use, it is important to consult policies and guidelines on accepted use. To learn more, review the resources on GenerativeAI and Open Scholarship.
