The fun part of learning how to use AI is putting it to work in practical ways that can enhance teaching and learning. Think of AI as your teaching assistant that’s available 24/7. Below are several strategy areas with examples of how you can leverage AI. Feel free to start with one that resonates and expand from there.
1. Streamlining Lesson Planning and Prep
Teachers often spend long hours preparing lessons and materials. AI can drastically cut down this prep time by generating drafts that you can then fine-tune. For example, you can ask a generative AI to “Create an outline for a 10th-grade history lesson on the causes of the Civil War” or “Suggest a hands-on science experiment about photosynthesis with a step-by-step guide.” In seconds, you’ll receive ideas, which you can adapt to your class.
Real-world example: Two teachers reported that using AI for lesson prep “turns hours of preparation into seconds”. They used an AI tool to generate a summary of content (for their own reference and to share with students), plus exit ticket questions and even suggestions for student activities – all of which they traditionally had to make from scratch. Of course, they reviewed and edited the AI’s suggestions, but it gave them a huge head start.
AI tools like Diffit, Curipod, and MagicSchool are designed for educators – they can produce reading passages at multiple reading levels, quizzes, discussion prompts, or slide decks on a given topic. For instance, Diffit can take a topic and generate a text passage with three versions (easier, moderate, advanced) for differentiated instruction. Imagine you’re teaching a mixed-ability class: you could quickly get appropriately leveled readings for all students on the same topic, ensuring everyone can participate in the discussion. These tools often also generate questions or activities, which you can select from.
Even general AI like ChatGPT can help with planning: it can produce a draft lesson plan, suggest examples to use in class, or even role-play as a student to help you anticipate questions. One district superintendent noted that AI’s promise is to “personalize learning, not just differentiate it, in a way that’s not taxing or exhausting for teachers”, potentially revolutionizing education by freeing teachers from some routine tasks.
Try this: The next time you have to plan a lesson, identify one part of the prep that’s time-consuming (say, coming up with practice problems or finding an engaging example story). Use an AI tool to generate a few options. Pick the best one, tweak it, and use it. See if the quality meets your standards with less effort than usual. Over time, you’ll learn how to phrase your requests (prompts) to get more on-target results.
(Prompt crafting tip: when asking AI for lesson help, be specific about your class – e.g. “a 9th-grade algebra class with 30 minutes for practice” or “include an analogy that a teenager would relate to” – the more context you give, the better the suggestions.)
2. Personalized Student Practice and Tutoring
Another exciting use of AI is to provide individualized practice or tutoring for students. We all know students learn at different paces and have different gaps. AI-powered tutoring systems or chatbots can offer one-on-one support and adapt to student responses in ways a single teacher with 30 students might struggle to do in real time. For instance, some math platforms now use AI to give step-by-step hints for solving algebra problems, only revealing the next hint if the student is stuck. Language learning apps with AI can hold basic conversations with students in Spanish or French, giving them instant feedback on grammar or pronunciation.
If a student is struggling with a reading passage, an AI tool could simplify the text or explain vocabulary. In fact, those teachers in New York used AI to help a student who was an English language learner: they translated every lesson into Spanish for her using AI, so she could understand the content while still working on her English. This kind of support would have taken the teachers many extra hours without AI, but with the tool, it became feasible to truly accommodate the student’s needs. The student could toggle between Spanish and English content, reinforcing her learning in both languages – a great example of AI enabling inclusive education.
For a more general class scenario, you could allow students to use a chatbot like ChatGPT as a “study buddy.” For example, a student revising for a biology test can ask the AI to quiz them on key terms, or explain a concept in simpler words if they didn’t grasp the textbook explanation. Some teachers have set up class accounts on AI platforms so that students can safely experiment with asking questions or getting feedback from an AI tutor. (If you do this, it’s wise to supervise initial usage and give guidance on asking effective questions.)
Important: AI tutors are helpful but not perfect. Always remind students (and yourself) to verify what the AI tutor says. Think of the AI as a first draft or preliminary help – the student should still check their textbook/notes or ask you if something seems off. In one report, educators noted AI’s potential to help with things like math problem-solving and language translation for special needs, but also cautioned about accuracy and bias risks. So, encourage students to use AI for practice, but not as the final word on any academic question.
Classroom idea: Dedicate a station or a segment of class called “Ask the AI”. During this time, students can pose questions to an AI (through a supervised device) about the day’s lesson or for extra practice. Then they must either verify the answer or critique it. This not only gives them personalized feedback but reinforces their critical thinking. One teacher found that when students “conversed” with ChatGPT and then reflected on the conversation, it deepened their understanding – e.g., students realized the AI might give generic answers, prompting them to think of what a better answer might include.
3. Creative and Critical Thinking Exercises
AI can also be a tool to spark creativity and higher-order thinking. For instance, you might use an AI image generator (like DALL-E or Midjourney) in an art or English class to create visuals based on themes from a novel, then have students analyze or write stories about those AI-generated images. The AI provides a jumping-off point, and students take it from there.
In a history class, you could have the AI write a short diary entry from the perspective of a historical figure and ask students to fact-check and improve it – was the tone accurate? Did it include historically correct details? Students then become editors, honing their critical thinking about the historical topic and about the AI’s output.
One English teacher had students use an AI writing assistant to help edit their essays for grammar and clarity. The catch: students had to review the AI’s suggestions and decide which to accept or reject, and then explain their reasoning. This turned editing (often a tedious task) into an interactive exercise with an automated “peer reviewer,” and students reported that they were more engaged and learned to spot errors better. They also saw firsthand where the AI’s advice was useful and where it was off-base, reinforcing their own writing skills.
Engaging Writing with AI: In a senior English class, students used an AI tool integrated in a platform called Youth Voices to help build essays from their annotations of a text. The AI would take their notes and try to compose paragraphs, then suggest edits for grammar and structure. Students saw how their own ideas could be expanded by the AI, but they also learned the tool’s limitations – many wanted to revise the AI-generated text to better reflect their personal voice. One student said they “felt more urgency to review and revise their writing to maintain their own voice,” realizing that the AI, while helpful, couldn’t truly capture their perspective. This exercise not only made the writing process more engaging (some students even said it was fun to ‘collaborate’ with AI), but it drove home a valuable lesson: their creative input and critical eye were irreplaceable, even with AI in the mix.
Prompt Crafting 101: To use AI effectively in any of these strategies, how you ask questions or give tasks to the AI (the “prompt”) is crucial. Writing good prompts is a bit of an art, often called “prompt engineering,” but you can learn some basic tricks:
- Be Specific: Instead of “tell me about climate change,” you might prompt: “Explain the greenhouse effect in simple terms a 6th grader would understand, in 3-4 sentences.” You’re more likely to get a targeted, useful response.
- Provide Context or Role: Many AI models respond well if you set a scenario. For example: “Imagine you are a tutor explaining this concept to a student” or “You are a debate coach giving feedback on an argument about X.” This can shape the tone and detail of the answer.
- Include the Format if Needed: If you want a list, say “list 5 reasons…”, or if you want a paragraph, specify that. You can even ask for things like a dialogue, an outline, or a quiz. For instance: “Give me a 5-question multiple-choice quiz on Chapter 2 of To Kill a Mockingbird, with an answer key.”
- Iterate: Don’t be afraid to refine and ask again. If the first answer is too broad or advanced, follow up with, “Now make that explanation simpler and more example-driven,” or adjust your prompt and run it anew. AI often improves with a bit of back-and-forth. As one guide put it, “start simply and iterate… see how changing words or adding direction alters the results”.
- Teach Students to Prompt: If students are using AI, teach them these same skills. Perhaps do a mini-lesson on writing effective prompts. For fun, you can show a mediocre prompt vs. an improved prompt and compare the AI’s answers. This is a new digital literacy that will benefit them in many contexts.
Remember, a prompt can have multiple parts – you might set a role, provide some context or input data, and state the task and desired output format. For example: “You are a helpful math tutor. The student’s problem is: ‘Solve 2x + 5 = 15’. Explain step-by-step how to solve it, and then give a similar practice problem for the student to try.” This prompt gives the AI a persona, a specific task, and an expected format (explanation + a new problem). With practice, you and your students will get better at this. (Feel free to use the Prompt Checklist below as a quick reference.)
Prompt Crafting Checklist:
- Clarity: Did I clearly state the task or question?
- Context: Did I provide any background or specify the role/audience? (e.g. “Explain like I’m a beginner” or “act as a science fair judge…”)
- Specifics: Did I ask for a particular format or detail level? (e.g. bullet points, an example in the answer, a certain reading level)
- Open-Ended vs. Focused: For creative tasks, open-ended prompts are fine. For factual, I ensure the prompt is focused to avoid ambiguity.
- Follow-Up: If the output isn’t what I need, can I tweak the prompt and try again (or ask a follow-up question to the AI)?
By integrating strategies like these, AI can become a versatile addition to your teaching toolkit – from automating mundane tasks to enriching student learning experiences. The key is to always loop back to your teaching goals: use AI to amplify good teaching, not replace it. In the next section, we’ll address how to bring these strategies into the classroom smoothly, managing any logistical issues and making sure students stay on task and benefit from the AI use.