Head Space

Calm productivity for academics

Getting started with generative AI

Many academics are worried about the threat to assessment that’s posed by generative AI models like ChatGPT, Claude, Gemini, and Perplexity. And while that’s a valid concern, there’s much less discussion about how AI might impact the work of academics. In this post, I share a few very simple examples of how you might consider getting started with generative AI in your scholarship.

Examples of academic use-cases

  • Writing. Improve clarity, structure, and grammar in your writing. Create outlines or drafts of work you know well, as you can be more confident that you’ll spot errors.
  • Research. Use conversational prompts to generate insights, lines of inquiry, ideas for research papers, and outlines of grant proposals.
  • Literature reviews. Extract and summarise the key points from research papers and reports.
  • Assessment. Generate a list of questions for quizzes and discussion in class, based on material you provide to the AI.
  • Summaries. Create summaries of documents, presentations, and lectures. Ask AI to create 1000-word summaries of lectures and post those summaries to the learning management system for students. Or summarise a conference presentation for my blog.

Simple prompts to get started

  • “Here is an example of a piece of writing I’ve produced. Please summarise the document in one paragraph that I can use for an Introduction.” Or, ask the AI to identify the strengths and weaknesses of the writing, with suggestions for improvement.
  • “Summarise the key ideas about online learning from the attached journal article in two paragraphs.”
  • “Give me give ideas for a presentation that addresses both the benefits and ethics concerns of new technologies in healthcare.”
  • “Here is the text of a lecture I’m giving next week. Please give me a list of 10 questions I can share with students to help generate discussion on this topic.”

Getting started with generative AI is as simple as setting aside a couple of hours for experimenting with the technology. This will help identify what it’s good at, and where it fails.


Found this post useful? Stay connected with Head Space via the newsletter or blog, or share it with your colleagues on social media.


Comments

Leave a comment