Every back-to-school season comes with a familiar checklist: notebooks, pens, chargers, headphones, and a reliable laptop.
But in 2026, students may want to add something else to the list: an AI prompt guide.
Generative AI can influence how people research, communicate, brainstorm, and solve problems. For students, that means knowing how to use AI is, in some cases, becoming synonymous with learning.
Having access to AI, however, isn’t the same as knowing how to use it well. Students need to understand how to ask good questions, evaluate the answers they receive, and recognize when an AI tool simply isn’t the right resource for the job.
Knowing How to Use AI is Becoming a Key Skill
When laptops first became commonplace in classrooms, students had to learn how to open a browser, conduct research online, and identify credible websites. AI is creating a similar learning curve.
Opening an AI chatbot and typing a question is easy. Getting a useful, accurate, and appropriate response takes considerably more thought.
Suppose a business student enters: “Explain supply chain management.” They’ll probably receive a broad definition.
Compare that with a student who asks: “I’m a first-year business student learning about supply chain management. Explain how inventory, suppliers, and distribution work together using a Canadian grocery store as an example. Then give me three questions I can use to test my understanding.” This second prompt gives the AI context, a clear objective, and instructions for presenting the information. More importantly, it uses AI to support learning rather than simply asking it for an answer.
That’s the difference prompting skills can make.
What Goes Into a Good AI Prompt?
Students don’t need to become prompt engineers to use AI well. A few basic habits can dramatically improve the usefulness of the responses they receive.
A strong prompt should answer a handful of questions:
- What’s the context? Tell the AI what it needs to know about the situation.
- What’s the goal? Be clear about what you’re trying to understand or accomplish.
- Are there constraints? Specify requirements, limitations, or information the response should consider.
- What should the answer look like? Ask for an explanation, comparison, practice questions, step-by-step breakdown, or another useful format.
Students can also ask AI to explain the same concept differently, provide an example, or ask follow-up questions to identify gaps in their understanding.
There is no magic combination of words that produces a perfect answer. Rather, students must learn how to communicate a problem clearly and refine the response through questioning.
A Prompt Guide Also Needs a Warning Label
AI literacy also includes learning when not to trust it.
Generative AI can produce information that sounds convincing but is misleading or simply wrong. AI hallucinations may involve inventing citations or failing to reflect the latest information.
That’s why verification should be part of every student’s AI toolkit.
If an AI tool provides a statistic, students should find the source. If it summarizes a complicated concept, they can compare the explanation against course materials or reputable sources. If something doesn’t sound right, they should investigate rather than assuming the technology knows best.
Students also need to consider privacy. Personal information, confidential workplace details, and other sensitive data shouldn’t automatically be entered into an AI platform just because it makes a task easier.
Education is Moving Beyond “Should Students Use AI?”
When generative AI first became widely available, much of the conversation in education focused on whether students should be allowed to use it.
That question hasn’t disappeared, particularly when it comes to academic integrity. But another question has become increasingly difficult to ignore: if graduates will encounter AI in their careers, shouldn’t they learn to use it responsibly?
Colleges therefore have an opportunity to teach students where AI use is appropriate and how to approach these tools critically.
That can include incorporating AI into coursework, discussing its limitations and ethical implications, teaching students how to verify generated information, and providing opportunities to experiment with AI in an educational setting. Building AI literacy into the curriculum can help students develop skills they’ll carry beyond the virtual classroom.
The Best AI Users Still Think for Themselves
An important distinction exists between using AI to support learning and letting it do the learning for you.
AI can help a student brainstorm questions, break down a difficult concept, create study materials, or identify areas that deserve further research. What it can’t replace is the student’s own judgment. Knowing whether an answer makes sense still matters. So does recognizing bias, evaluating sources, developing original ideas, and applying knowledge to unfamiliar situations.
Add AI Literacy to the Back-to-School List
Students will still need laptops this school year. They’ll still need chargers, notebooks, and all the other essentials that inevitably end up on the September shopping list.
But being prepared for today’s classroom means having a framework for navigating the technology that’s increasingly sitting on the other side of the screen.
An AI prompt guide might not fit neatly inside a backpack. Still, the skills behind it, like asking better questions, evaluating information, protecting privacy, and thinking critically, could prove useful long after the school year ends.
About the author
The professors at Herzing College are dedicated to providing high-quality, career-focused post-secondary programs to its student base, which includes new students, employers, and employees alike. Backed by decades of experience in areas such as computer science, graphic design, and technology management, Herzing College brings deep industry insight into the classroom to prepare students for real-world success.
