A Teacher's Guide to AI in the Classroom

It’s no secret that Artificial Intelligence has exploded into our students' lives, and by extension, our classrooms. The statistics are staggering: studies show that most students already use generative AI for their schoolwork. Surveys such as the one from the Center for Democracy and Technology indicate that 74% of teachers believe AI can positively impact learning. At the same time, the use isn’t always skilful; nearly 73% of students report using it to complete assignments without fully understanding the content and underlying principles. They're not just checking grammar; they're generating entire essays, writing code for projects, and essentially outsourcing the cognitive work that leads to genuine learning¹.

This reality presents a critical challenge. A purely prohibitive stance is difficult to enforce and misses a crucial opportunity to prepare students for the AI-enabled world, where these tools are rapidly becoming integral to the modern workplace. Our role as educators must evolve. We must shift the narrative from catching students misusing AI to coaching them on using these powerful tools ethically, responsibly, and, most importantly, critically and effectively. The goal is to transform AI from a shortcut for avoiding work into a partner for deepening it.

Shifting from "Don't" to "How"

The challenge isn't just about academic integrity; it's about preparing students for their future. We must equip them with the skills to critically evaluate AI-generated content, understand its inherent biases, and use it as a launchpad for their creativity and critical thinking, rather than replacing their own reasoning abilities. Overreliance on AI may deprive students of developing skills, such as problem-solving, independent research², and collaborative communication³, which they may still need for further studies and careers. 

This is precisely why we're developing the Teacher Guide: Integrating AI. This framework is designed to move your classroom practice from a position of uncertainty to one of empowered guidance and informed practice. It provides a straightforward, actionable approach to teaching students the non-negotiable rules of AI use while building the skills they need to leverage it as a powerful learning aid.

Teacher Guide: Integrating AI

This guide offers IB Computer Science teachers a framework for using AI ethically and effectively. It provides foundational lessons, ongoing teaching strategies, a clear scale for acceptable AI use, and guidance on designing learning and setting expectations regarding how much of the use we permit that promotes student growth rather than hinders it.

Your Starting Point: Two Foundational Lessons

We've created two detailed, one-hour lesson plans, with slide decks, teacher notes, and student worksheets to get you started. These lessons are designed for Computer Science classrooms but can be adapted for any subject. They provide the perfect starting point to:

1. Establish the Ground Rules: The first lesson unpacks the IB's official stance on AI, defining the student's role as the ultimate author and introducing the non-negotiable requirement of citing any AI-generated content.
2. Provide a Clear Framework: The second lesson introduces the "Generative AI Acceptable Use Scale," a simple framework that gives students clear boundaries on how much AI is acceptable for different tasks—from brainstorming for the IA to debugging code.

These resources give you the tools to have direct, subject-specific conversations about ethical AI use in written work and technical projects, such as coding.

Integrating AI: Lesson Plans

These lesson plans support IB Computer Science teachers' framework for using AI ethically and effectively. They provide foundational lessons and ongoing teaching strategies, including voicing expectations when creating tasks for students, and a clear scale that helps students understand when the use of AI is acceptable and when it moves to accomplishing the work for them. 

The Beginning of a Conversation

This guide and accompanying lessons are the first step in a much larger journey. AI has immense potential to make education more dynamic, personalised, and effective when used correctly.

This blog post is the first in our new series on AI in Education. In the coming weeks and months, we will explore:

• AI for Teacher Productivity: How you can use AI to streamline lesson planning, differentiate instruction, and even assist with grading and feedback.
• AI for Student Support: How these tools can act as personalised tutors, providing students with on-demand support and coaching.
• AI for Innovation: How to use AI to create more engaging and creative projects in your classroom.

The age of AI is here. Let's embrace the opportunity to lead our students through it with wisdom and confidence. Download the Teacher Guide and lesson plans today, and start building a culture of ethical innovation in your classroom.

¹ Dwyer, M., & Laird, E. (2024). Up in the air: Educators juggling the potential of generative AI with detection, discipline, and distrust. Center for Democracy & Technology. [link]

² Zhai, Chunpeng & Wibowo, Santoso & Li, Lily. (2024). The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review. Smart Learning Environments. 11. 10.1186/s40561-024-00316-7. [link]

³ Hou, Irene & Man, Owen & Hamilton, Kate & Muthusekaran, Srishty & Johnykutty, Jeffin & Zadeh, Leili & Macneil, Stephen. (2025). "All Roads Lead to ChatGPT": How Generative AI is Eroding Social Interactions and Student Learning Communities. 10.48550/arXiv.2504.09779. [link]