AI Prompts for Curriculum Design | AI Prompts for Academic Research
While Generative AI can be very useful when planning instruction and creating content, it does not know your learners' precise needs or your learning context, so its outputs should be received critically and always adapted. AI can "hallucinate" (i.e. lie) or misunderstand your goals and intentions, so the more information and direction you give, the better its outputs will be.
Free AI platforms will remember the information you include in your prompts and conversations, or in other words, your data will be used for training future AI models. Never post data that is private or sensitive to you or your learners.
AI platforms allow different levels of creativity in their outputs, so the same prompt inputs will not always result in the same outputs. If you are not getting the outputs you want, adapt your prompt with carefully wording and retry it. Once your prompt outputs are consistently what you want, save the prompt in a spreadsheet to use again in the future.
More specific and detailed prompts result in more exact and useful responses from AI. AI platforms use four elements in a prompt to guide their outputs, including a context (i.e. previous discussion or prompts), a directive (i.e. a verb statement directing what the AI should do), input information (i.e. relevant data to guide how the AI should respond), and output requirements (i.e. how the output should be structured, like in a table, list or using a coding language). Learning to include these elements in your prompts will result in much more useful responses for your teaching and research.
Generative AI can be very useful when planning different instructional options or strategies to use in a course or training event. Below are example prompts you can input into AI platforms like ChatGPT, Perplexity or Bard.
The illustration to the right is an example workflow you can use when designing a course using generative AI, as each element can have its own prompt. Some prompt inputs require outputs from previous prompts, so you need to chain or sequence your prompts carefully. While not all the elements in the workflow are always needed for a course or training intervention, some elements should always be created, like course maps, assessment plans, unit plans, and lesson plans.
Generative AI can also be very useful when planning academic or graduate research studies, for example by suggesting topics, methodological designs or research instruments in the design phase, or by helping to analyze data and structure your findings. Below are example prompts you can input into AI platforms like ChatGPT, Perplexity or Bard.
Updated 2023
CC BY-SA 4.0 DEED
All resources by Dr. Andrew Marchand, a teacher educator and educational consultant from Canada and Vietnam. Learn about the author here. Iceberg photo by size4riggerboots.