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October 30, 2025

3 Practical AI Resources for College Students and Teachers

During the Summer of 2025, I developed 2 online AI (artificial intelligence) tools designed to support both students and teachers: 

  • a catalogue of AI Study Prompts for students 
  • a catalogue of prompts that promote AI Literacy for teachers 

I also created a ready-to-use classroom activity to teach students how to chat with generative AI tools while remaining actively engaged in the interaction. 

These free resources are available to anyone who would like to use them with their students or to strengthen their own understanding of AI tools.  

Tool 1: AI study prompts for students  

Why use the tool? 

AI policies in colleges tend to focus on what students shouldn’t do (in terms of plagiarism, cheating, and breaches of academic integrity). However, these policies leave a big gap between the restrictions and what is actually happening in practice. Indeed, according to studies and a survey I conducted at my own college, approximately 90% of students use AI for their studies every week, mostly outside of class and without guidance. This reality motivated me to create the tool. My goal was to help students understand what constitutes an acceptable use of AI during the study phase, not during the work phase. 

In my view, it is acceptable if a student asks AI to explain difficult concepts, clarify a rubric, rephrase assignment instructions in simpler terms, or even create a step-by-step study plan to help organize their time. However, once students start working on the actual coursework (such as brainstorming ideas, organizing and writing essays, and completing any assignments), AI should not be used without explicit teacher permission. 

In other words, I wanted to draw a clear line for students between responsible AI use as a study tool and uses that conflict with college policies by being dishonest or preventing teachers from assessing students’ true competencies and knowledge. At the same time, I wanted to provide teachers (including myself) with a safe and practical starting point for open conversations with students about their use of AI. 

What is the tool? 

The tool I developed is a catalogue of AI Study Prompts designed to support students in their learning and during their study phase. The idea is to put students “in the driver’s seat,” using AI as a tool to guide their learning, rather than replace it. 

The prompts are organized into 15 categories, covering a wide range of study situations. A few examples include:   

  • Understand Guidelines 
  • Plan Project 
  • Plan Study Time 
  • Clarify Concepts & Texts 
  • Organize & Simplify Notes 
  • Deepen Understanding 
  • etc.  

How to use the tool? 

Students begin by selecting a category that aligns with their study needs. Each category provides a set of fill-in-the-blank prompts that can be copied and pasted into any AI tool. Students simply replace the text in square brackets with their own details, such as the topic they are studying or the assignment instructions that need clarification. 

Example of a prompt called Study Techniques proposed to students under the category Plan Study Time.

Example of a prompt called Comparative Problem-Solving Strategy proposed to students under the category Study Science.

Students can also save their favourite prompts or search the catalogue for specific ones. The prompts act as safe starting points, helping students feel confident about using AI in ways that support their learning. 

Tool 2: AI Prompts for teachers to teach AI literacy 

Why use the tool?

Students can quickly develop misplaced trust in AI because it always responds confidently, rarely admits “I don’t know,” and presents itself as endlessly reliable. After just a couple of weeks of using it, they start to believe that it “knows everything.”  

For me, the first step in teaching AI literacy is to break this misconception. Once students see how AI actually works and understand its limitations and mechanics, they’re in a much better position to think critically about how to use it responsibly. 

One of the biggest challenges in teaching AI literacy today is that it has become harder to reveal the limitations of generative AI. Not long ago, we could demonstrate how these tools hallucinate by simply asking them to count the number of Rs in “strawberry.” But with newer models that can “reason” and even search the web, such errors are less common and much harder to reproduce reliably during classroom demonstrations. 

That’s why I created a tool specifically for teachers to help their students experience AI’s limits firsthand, rather than just taking our word for it. 

What is the tool? 

The AI Literacy Guide for teachers is an online catalogue of classroom-tested prompts designed to demonstrate how generative AI truly works and to reveal its limitations, such as: 

  • AI’s biases 
  • hallucinations 
  • fabricated reasoning 
  • pattern-based limitations 
  • etc.  

The catalogue is a living resource: I’ve included prompts I’ve used in my own workshops at Champlain College, along with interesting ones I’ve come across from other AI users. I update it regularly as new prompts emerge and older ones become less effective with the development of improved models.  

How to use it? 

As a teacher, you don’t need to be an AI expert to use this resource. It can also help you deepen your own understanding of AI tools. If you plan to use it in class with students, select a few prompts and try them out first to make sure the AI model you are using accurately shows the limitations you intend to expose.  

You can also select a few prompts that match your teaching objectives. For example, a Humanities teacher might want to highlight political biases. Each prompt includes classroom instructions and, in some cases, suggestions for AI models to test, along with follow-up prompts. 

For instance, if you ask ChatGPT to generate an image of a watch set to 3:30, it always defaults to displaying 10:10 (the time most commonly displayed in watch advertisements). This reveals how large language models (LLMs) duplicate patterns from their training data rather than show real understanding. 

Example of a prompt available in the AI Literacy Guide demonstrating the limitations of AI with pattern copying. 

ChatGPT’s response to the prompt: “Generate the image of a watch that displays 3:30”

I like to approach it as an exploration with my students: we run the prompts, compare outputs, and discuss what they mean. The differences in outputs can spark valuable conversations. In the classroom, I encourage students to try the prompts themselves on their own devices. Seeing the hallucinations firsthand leaves a lasting impression!  

“How to Chat with AI” classroom activity  

Once students have used the AI Literacy Guide to explore the limits of generative AI, they are ready to engage in a conversation with AI. The following activity is a ready-to-use classroom exercise that helps students learn how to chat with AI in a way that supports their thinking rather than replaces it. The goal is to encourage them to reflect on their level of engagement and the extent to which they can claim authorship of a text created in collaboration with AI. 

This activity was inspired by and adapted from the work of Mike Kentz, who encourages active engagement and critical thinking when using AI tools.  

Step 1: Analyzing 2 conversations 

Students begin by examining 2 contrasting short chat transcripts between a human and an AI. In both examples, the human is working on the same task (for instance, writing a cover letter). However, in one chat, the human interacts actively (asking questions, making choices, and providing insights) while in the other, the human accepts AI responses more passively, with limited critical input. 

Students then annotate both conversations, noting where the human shows initiative and where the AI takes over. They then discuss which example demonstrates greater engagement. 

Step 2: Identifying the golden habits 

Next, students share their observations with the class. Together, we identify good habits for responsible and engaged AI use. The handout “Golden Habits of Effective Human–AI Chats” can be used if needed. Examples of golden habits include: 

  • setting a clear goal, format and constraints 
  • providing relevant context  
  • including your own insight, preferences, or concerns 
  • supplying the AI tool with your own initial draft 
  • defining clear criteria for what constitutes a good output 
  • asking for multiple options and remixing them yourself 

Complete handouts for the “How to Chat with AI” classroom activity

Step 3: The Joke Challenge activity 

To apply these strategies in a fun and creative way, students complete a short task called the Joke Challenge. In this activity, they work with an AI tool to create an original joke. From the very beginning, students are encouraged to take an active role by contributing their own “bad” joke, their own definition of what makes a good joke, or examples of jokes they find effective or funny. This establishes a strong human starting point and reinforces the importance of personal input and creative direction. 

Their goal is to produce a final joke they can partially claim as their own, explaining how they shaped, edited, or improved it using the golden habits identified earlier. 

At the end of the activity, students can share their jokes and describe the strategies they used to let them claim as much ownership as possible.  

This classroom activity encourages students to view AI conversations as collaborative and reflective processes. They learn to interact with AI critically and to take ownership of their ideas while developing essential AI literacy skills. 

“Joke Challenge” activity handouts

Step 4: Follow-up assignment – Applying the golden habits 

The next step is to extend these principles of active prompting beyond the joke activity and into a real school assignment. In this follow-up task, students are allowed, and encouraged, to use AI as a partner in producing an academic or creative output related to the course. 

If they choose to use AI, students must take responsibility for documenting their collaboration by keeping track of their prompts and interactions. This documentation serves as evidence of their active engagement and critical contribution to the final product. 

Students may demonstrate this engagement in several ways, such as: 

  • maintaining a prompt journal that records their interactions and reflections on each exchange 
  • annotating their AI chat transcript to highlight their specific inputs, edits, and decisions 
  • analyzing their final output to explain how their guidance and insights shaped it, and why they can claim partial ownership of the result 

This follow-up assignment reinforces the idea that responsible AI use is not about avoiding these tools, but about taking advantage of their generative power while maintaining ownership of one’s intellectual work through active, critical, and transparent engagement. 

I invite you to try these resources with your students or in your own practice and see how they work in your context. I’d also love to hear from you if you come across prompts that reveal AI’s limitations in surprising ways. Feel free to share your experience in the comments below! 

About the author

Stéphane Paquet

Stéphane Paquet is the AI Certificate Coordinator as well as an English teacher at Champlain College in St. Lambert. With a background in computer science and over 20 years in education, Stéphane is dedicated to integrating AI into his teaching and actively shares his knowledge and tools with colleagues and students to help them adapt to the new AI reality. Outside work, Stéphane enjoys producing electronic music and playing the piano.

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