5 Text Prompts for ChatGPT that Professors Need to Try!

Dr. Ethan Mollick and Dr. Lilach Mollick are at it again! Their latest paper, Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts, is a FANTASTIC resource for instructors looking for guidance to integrate AI into their teaching practice.

No time to read it? Then check out Dr. Mollick’s summary of these approaches.

Don’t have time for that either? OK, then scroll down for *just* the prompts and examples that we tried.

Strategy 1: Examples created by AI

Prompt #1: “I would like you to act as an example generator for students. When confronted with new and complex concepts, adding many and varied examples helps students better understand those concepts. I would like you to ask what concept I would like examples of, and what level of students I am teaching. You will provide me with four different and varied accurate examples of the concept in action.”ChatGPT prompt (by Ethan Mollick): I would like you to act as an example generator for students. When confronted with new and complex concepts, adding many and varied examples helps students better understand those concepts. I would like you to ask what concept I would like examples of, and what level of students I am teaching. You will provide me with four different and varied accurate examples of the concept in action.

Strategy 2: Explanations created by AI

Prompt #2: “You generate clear, accurate examples for students of concepts. I want you to ask me two questions: what concept do I want explained, and what the audience is for the explanation. Provide a clear, multiple paragraph explanation of the concept using specific example and give me five analogies I can use to understand the concept in different ways.”ChatGPT prompt (by Ethan Mollick): You generate clear, accurate examples for students of concepts. I want you to ask me two questions: what concept do I want explained, and what the audience is for the explanation. Provide a clear, multiple paragraph explanation of the concept using specific example and give me five analogies I can use to understand the concept in different ways.

Strategy 3: Using AI to develop low-stakes tests

Prompt #3: “You are a quiz creator of highly diagnostic quizzes. You will make good low-stakes tests and diagnostics. You will then ask me two questions. (1) First, what, specifically, should the quiz test. (2) Second, for which audience is the quiz. Once you have my answers you will construct several multiple choice questions to quiz the audience on that topic. The questions should be highly relevant and go beyond just facts. Multiple choice questions should include plausible, competitive alternate responses and should not include an “all of the above option.” At the end of the quiz, you will provide an answer key and explain the right answer.”

ChatGPT prompt (by Ethan Mollick): You are a quiz creator of highly diagnostic quizzes. You will make good low-stakes tests and diagnostics. You will then ask me two questions. (1) First, what, specifically, should the quiz test. (2) Second, for which audience is the quiz. Once you have my answers you will construct several multiple choice questions to quiz the audience on that topic. The questions should be highly relevant and go beyond just facts. Multiple choice questions should include plausible, competitive alternate responses and should not include an "all of the above option." At the end of the quiz, you will provide an answer key and explain the right answer.

Strategy 4: Assessing what students know, and what they are confused by

Prompt #4: “I am a professor who wants to understand what students found most important about my class and what they are confused by. Review these responses and identify common themes and patterns in student responses. Summarize responses and list the 3 key points students found most important about the class and 3 areas of confusion: [Insert material here]”

For this example, you’ll need to have student input collected through a classroom assessment technique such as an exit ticket, 1-minute paper, or muddiest point activity. 

Strategy 5: Distributed practice with AI

Prompt #5: “You are an expert instructor who provides help with the concept of distributed practice. You will ask me to describe the current topic I am teaching and the past topic I want to include in distributed practice. You will also ask me the audience or grade level for the class. Then you will provide 5 ideas about how include the past topic into my current topic. You will also provide 3 questions I can ask the class to refresh their memory on the past topic.”

ChatGPT prompt (by Ethan Mollick): You are an expert teacher who provides help with the concept of distributed practice. You will ask me to describe the current topic I am teaching and the past topic I want to include in distributed practice. You will also ask me the audience or grade level for the class. Then you will provide 5 ideas about how include the past topic into my current topic. You will also provide 3 questions I can ask the class to refresh their memory on the past topic.

AI Content Detectors to (Potentially) Assist Identifying Whether Text is Human or AI-generated

The face of a female-appearing android overlaid with microchip pattern over random, color-coded source code in the background

Looking for help to detect texts or parts of a text generated by GPT-3 or GPT-2 or another artificial intelligence model?

[Note that it’s extremely difficult to definitively determine whether a language model was used to generate a piece of text, and no tool is guaranteed to be 100% effective. However, they could be potentially useful to help you identify potential instances of language model-generated text.]

That said, here’s a short and ever-growing list:

DetectGPT
 
GPTZeroX
 
CatchGPT
 
Writer AI Content Detector
 
AI Text Classifier
 
OpenAI’s GPT2 Output Detector
 

How do these tools detect AI-generated content?

These tools generally:

  • Look for common linguistic features or patterns in machine-generated text. AI-generated text, for example, may be more repetitive or have a reduced degree of complexity and variability compared to text written by a human.
  • Check for specific formatting or structural features that are common in machine-generated text. AI-generated text might have a more uniform structure or lack the variety of formatting styles that is typical of human-written text.
  • Check for certain keywords or phrases that are commonly used in AI-generated text. That’s a lot harder already. In general, there are statistically significant patterns known and detectable of which word combinations a model like GPT3.5 picks.
  • Compare the content with known examples of machine-generated text to determine the likelihood that it was generated by a machine.

There’s still time to sign up for tomorrow’s Technology and Tacos lunch-and-learn session: 

Gray human brain situated against a background with mathematical concepts on the left (logic) and a tangle of colorful swirling lines on the right (creativity) Tuesday, Jan 31 @ 12 PM | Leyburm 119. A good defense is the best offense and grounding your teaching in good pedagogical practice can help to ensure that ChatGPT's disruption of our students' learning is minimal. Join Dr. Paul Hanstedt, Director of the Harte Center for Teaching and Learning, for a discussion of effective practices in the age of AI. Sign up at go.wlu.edu/techandtacos.

Join us for Technology and Tacos: Focus on ChatGPT and AI

Robot seated at a table, writing with a pen. Thursday, Jan 26 @ 12 PM | Leyburn 119. In this session, Associate Professor Jeffrey Schatten will give an introduction to the topic, participants will have a brief opportunity to explore the software, and the session will end with a discussion of the implications of AI and ChatGPT. Sign up at go.wlu.edu/techandtacos.

Gray human brain situated against a background with mathematical concepts on the left (logic) and a tangle of colorful swirling lines on the right (creativity) Tuesday, Jan 31 @ 12 PM | Leyburm 119. A good defense is the best offense and grounding your teaching in good pedagogical practice can help to ensure that ChatGPT's disruption of our students' learning is minimal. Join Dr. Paul Hanstedt, Director of the Harte Center for Teaching and Learning, for a discussion of effective practices in the age of AI. Sign up at go.wlu.edu/techandtacos.

ITS Academic Technologies and the Harte Center for Teaching and Learning cordially invites all W&L faculty and staff to our Technology and Tacos series. For the Winter Term, we’ll talk about how AI tech developments could affect our classrooms. How do we teach now that it exists? How can we use it?

ChatGPT, which stands for “Generative Pre-trained Transformer,” is a cutting-edge AI model developed by OpenAI. It has the ability to generate human-like text and has shown remarkable performance in tasks such as language translation, question answering, and even creative writing.

As a “disruptor,” ChatGPT has the potential to change the way we interact with technology and how we process information; in fact, it already is! However, it also presents a great opportunity for us to explore new and innovative ways to use AI.

Interested? Sign up online at go.wlu.edu/techandtacos.

We look forward to seeing you there and discussing the exciting (and admittedly worrisome) possibilities of ChatGPT and AI with you.