AI Ready: A Guide for Unlocking the Power of Prompting

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As AI becomes more prominent in education, the skill of “prompt engineering” is emerging as a key component for educators to make the most of tools like ChatGPT, Gemini, and Copilot. By learning how to craft effective prompts, faculty can transform their teaching, research, and even administrative workflows. This blog post dives into prompt engineering tips tailored for higher ed faculty, helping you turn ideas into high-quality outputs for various classroom and research scenarios.

Why Prompt Engineering Matters

AI tools are only as effective as the prompts you provide. Well-constructed prompts can yield high-quality responses, helping with tasks from generating lesson plans to summarizing complex research articles. However, vague prompts often lead to lackluster, unfocused responses. Knowing how to prompt correctly can save time, improve classroom engagement, and enhance your own research.

Strategies for Crafting Effective Prompts

ChatGPT Cheat Sheet for Higher Ed: Defines AI terms, offers role-specific uses, writing styles, chained prompting, edit context, and advanced suggestions for educational purposes.

  1. Be Specific with Instructions: General prompts like “explain AI” will yield broad, unrefined results. Instead, try “Explain the basics of AI in simple terms suitable for undergraduate students, with examples from higher education.” The added details make the response tailored and contextually relevant.
  2. Leverage Existing Frameworks: Frameworks like ALGAE (Audience, Length, Goal, Action, and Emotion) can help structure prompts effectively. Define your audience (e.g., first-year undergraduates), desired length (e.g., two paragraphs), goal (e.g., introduction to AI ethics), and tone (e.g., approachable and clear).
  3. Use Role-Based Prompts: Asking AI to “act as an educational technology expert” or “provide feedback like a peer reviewer” can yield nuanced responses. This approach frames the prompt within an assumed perspective, which enhances specificity.
  4. Incorporate Step-by-Step Questions: Break down complex requests into smaller steps. For example: “First, provide an overview of Bloom’s Taxonomy, then suggest three AI tools that align with each learning level.”
  5. Refinement Techniques: Don’t be afraid to ask follow-up questions to refine answers. Start with broad topics, then add depth by asking for elaboration, analogies, or counterpoints.

Here are some frameworks with prompt examples to help you remember what to include in your prompt:

Mastering prompt engineering can empower faculty to leverage AI meaningfully. With these resources and tips, you’ll be well on your way to crafting prompts that drive impactful, AI-assisted teaching and learning.

Additional Resources to Explore


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