Skip to McMaster Navigation Skip to Site Navigation Skip to main content
McMaster logo

Introduction to Generative AI for Educators: What can it do?

The content on this page was adapted from Ethan Mollick’s blog post: How to Use AI to Do Stuff: An Opinionated Guide . GenAI can create, compose, and produce a diverse array of content. Click on the accordions below to learn more about different ways to use AI and which tools are most suitable. If you’re using ChatGPT for any of these uses, you might consider turning off data collection so that your prompts and conversations are not collected and stored.

Expandable List

  • Write drafts of anything – blog posts, essays, promotional material, lectures, scripts, short stories. All you have to do is prompt it. Basic prompts result in boring writing, but getting better at prompting is not that hard. AI systems are more capable as writers with a little practice and user feedback. 
  • Make your writing better. You can paste your text into an AI and ask it to improve the content, check for grammar and improve paragraphing. Or ask for suggestions about how to make it better for a particular audience. Ask it to create 5 drafts in radically different styles. Ask it to make things more vivid or add examples.  
  • Help you with tasks. AI can do things you don’t have the time to do. Use it to write emails, create project templates, and a lot more. Later in this module, you’ll have a chance to try out using an AI tool to help you complete a teaching task. 
  • Unblock yourself. It’s very easy to get distracted from a task when you get stuck. AI can provide a way of giving yourself momentum. Ask it for ideas to help you get started. You often need to have a lot of ideas to have good ideas, and AI is good at volume. With the right prompting, you can also get it to be very creative. Or you can ask it for possible next steps in a project or a work schedule to keep you organized. The key is dialog.

AI tools are being integrated directly into common office applications. Microsoft Office includes Copilot* powered by GPT and Google Docs will integrate suggestions from Gemini. The implications of what these new innovations mean for writing are pretty profound. 

*As of November 2023, McMaster faculty and staff have access to Microsoft Copilot (formerly known as Bing Chat Enterprise) with their McMaster Microsoft licenses. When you use this version of Copilot with your McMaster credentials, none of the information exchanged in the chat is stored or used to train AI models. Neither McMaster nor Microsoft can access or use the data in any way. McMaster University will continue to evaluate other AI-powered enterprise services and tools from a budgetary, security, risk, and privacy perspective. This includes Copilot for Microsoft 365, which requires additional licensing costs and will not be available to McMaster employees at this time.

There are four big image generators most people use: 

  1. Stable Diffusion: is open source and can be run from any high-end computer. It takes effort to get started, since you have to learn to craft prompts properly, but once you do it can produce great results. It is especially good at combining AI with images from other sources. Here is a guide to using Stable Diffusion (be sure to read both parts 1 and part 2). 
  2. DALL-E: is incorporated into Copilot (in creative mode) and Copilot image creator. This system is solid, but not as good as Midjourney. 
  3. Midjourney: is the best system as of mid-2023. It has the lowest learning-curve: just type in “thing-you-want-to-see –v 5.2” (the –v 5.2 at the end is important, it uses the latest model) and you get a great result. Midjourney requires Discord. Here is a guide to using Discord. 
  4. Adobe Firefly: is built into a variety of Adobe products, but it lags behind DALL-E and Midjourney in terms of quality. However, while the other two models have been unclear about the source images that they used to train their AIs, Adobe has declared that it is only using images it has the right to use. One of the major benefits of Firefly is generative fill – you can use it while editing an image in Photoshop to add something to or alter that image based on your prompting.

Here are the first images that were created by each model when provided with the prompt:

“Fashion photoshoot of sneakers inspired by Van Gogh” (each image is labelled with the AI model)  

our sneakers created using four different image generator AI technology (Adobe, DALL-E, MidJourney, Stable Diffusion 2.1). The Midjourney sneaker design follows the prompt the best, using additional props (ex. flowers) and an attractive blue background, to draw the focus to the sneakers.

An AI video generator is a web-based or standalone software that allows you to easily create video assets without needing prior video editing experience. These tools can assist with tasks like erasing video elements, creating green screens, using text to video to construct scripts from a URL or blog post, and more. It is now easy to generate a video with a completely AI generated character, reading a completely AI-written script, talking in an AI-made voice, animated by AI. It can also deepfake people.  Runway v2 was the first commercially available text-to-video tool and is a useful demonstration of what is to come. 

Code Interpreter is a mode of GPT-4 that lets you upload files to the AI, allows the AI to write and run code, and lets you download the results provided by the AI. It can be used to execute programs, run data analysis, and create all sorts of files, web pages, etc. Though there has been a lot of debate since its release about the risks associated with untrained people using it for analysis, many experts testing Code Interpreter are impressed, one paper event suggesting it will require changing the way we train data scientists. 

Claude 3 is excellent for working with text, especially PDFs. It’s possible to post entire books into the tool. You can also give it several complex academic articles and ask it to summarize the results, with reasonable results! You can then interrogate the material by asking follow-up questions: what is the evidence for that approach? What do the authors conclude? And so on. 

Similarly, Gemini 1.5 Pro has a 128K-token context window. A limited group of developers and enterprise customers can try it with a context window of up to 1 million tokens [link: https://blog.google/technology/ai/long-context-window-ai-models/], but this is a computationally intensive process that requires further optimizations.

It’s currently not recommended to use AI as a search engine. The risk of hallucination is high (an explanation of hallucinations is provided in the What’s the catch tab). However, there is some evidence that AI can often provide more useful answers than search when used carefully, according to a recent pilot study. Especially in cases where search engines aren’t very good, like tech support, deciding where to eat, or getting advice, Copilot is often better than Google as a starting point. This is an area that is evolving rapidly, but you should be careful about these uses for now.  

What’s more exciting is the possibility of using AI to help us learn. You can ask the AI to explain concepts and get very good results. This prompt is a good automated tutor, and use can find a direct link to activate the tutor in ChatGPT here. Because we know the AI could be hallucinating, you would be wise to double-check any critical data against another source. 

References

Clark, P. (2023, May 23). Dream bigger: Get started with Generative Fill. Adobe Blog. https://blog.adobe.com/en/publish/2023/05/23/future-of-photoshop-powered-by-adobe-firefly 

Gartenbert, C. (2024, February 16). What is a long context window? Google Blog. https://blog.google/technology/ai/long-context-window-ai-models.

Gunnell, M. (2022, April 11). How to use Discord: A beginner’s guide. PCWorld. https://www.pcworld.com/article/540080/how-to-use-discord-a-beginners-guide.html 

J., J. (2023). Data Controls FAQ. Open AI. https://help.openai.com/en/articles/7730893-data-controls-faq 

Mollick, E. [@emollick]. (2023a, April 5). There are big categories of common problems that, in retrospect, were never good applications for Google search. Bing AI, even with occasional inaccuracies, is just better for things like: 🧑‍💻Tech support 📍Deciding what to do/where to eat ⚒️How-to advice ❓Getting started advice https://t.co/9gIBxq86It [Tweet]. Twitter. https://twitter.com/emollick/status/1643718474668097538 

Mollick, E.[@emollick]. (2023b, June 15). There is a lot of excitement for AI to be a universal tutor. And it shows real promise, but there are some important problems that need to be solved. To get a sense of how good it is, try this prompt (in GPT-4): Https://chat.openai.com/share/ec1018ec-1d86-4160-b587-354253c7d5cb More in our paper: Https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4475995 https://t.co/X8kpg08DEr [Tweet]. Twitter. https://twitter.com/emollick/status/1669434927761313807

Mollick, E. [@emollick]. (2023c, July 11). Every field of professional education needs to be working on a paper like this right now. This one tests Code Interpreter’s ability to do data science (90% on exams, the field is “on the verge of a paradigm shift”) Then it suggests how to change training. Https://arxiv.org/pdf/2307.02792v2.pdf https://t.co/OnUk22ZZ06 [Tweet]. Twitter. https://twitter.com/emollick/status/1678615507128164354 

Mollick, E. (2023a, September 16). A quick and sobering guide to cloning yourself. One Useful Thing. https://www.oneusefulthing.org/p/a-quick-and-sobering-guide-to-cloning 

Mollick, E. (2023b, September 16). How to Use AI to Do Stuff: An Opinionated Guide. One Useful Thing. https://www.oneusefulthing.org/p/how-to-use-ai-to-do-stuff-an-opinionated?utm_medium=reader2 

Mollick, E. (2023c, September 16). On-boarding your AI Intern. One Useful Thing. https://www.oneusefulthing.org/p/on-boarding-your-ai-intern 

Mollick, E. (2023e, September 16). Setting time on fire and the temptation of The Button. One Useful Thing. https://www.oneusefulthing.org/p/setting-time-on-fire-and-the-temptation 

Mollick, E. (2023f, September 16). What AI can do with a toolbox… Getting started with Code Interpreter [Now called Advanced Data Analytics]. One Useful Thing. https://www.oneusefulthing.org/p/what-ai-can-do-with-a-toolbox-getting 

Mollick, E. (2023g, September 16). What happens when AI reads a book 🤖📖. One Useful Thing. https://www.oneusefulthing.org/p/what-happens-when-ai-reads-a-book 

OpenAI. (2023). ChatGPT (GPT-4) Friendly Tutor Explains Concepts.   [Large language model].   https://chat.openai.com/share/ec1018ec-1d86-4160-b587-354253c7d5cb  

Prateek K. Keshari [@prkeshari]. (2023, July 9). 20 mins and 3 prompts later, ChatGPT code interpreter gives me 2 branded downloadable html files. Result 👇 https://t.co/NPMrW72g2A [Tweet]. Twitter. https://twitter.com/prkeshari/status/1678155933606637568 

Stokes, J. (2022, September 29). Stable Diffusion 2.0 & 2.1: An Overview. Johnstokes.Com. https://www.jonstokes.com/p/stable-diffusion-20-and-21-an-overview 

Xu, R., Feng, Y., & Chen, H. (2023). ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience (arXiv:2307.01135). arXiv. https://doi.org/10.48550/arXiv.2307.01135 .