Introduction

Over the past two weeks, I’ve had the opportunity to explore the potential of Generative AI (Gen AI) in education, examining both its possibilities and concerns. Gen AI tools have demonstrated capabilities in generating lesson plans, creative educational content, and offering personalized support. However, as I continue to work and test different Gen AI platforms, I wonder if Gen AI can truly support diverse learners, and if so, how can these AI-generated lessons truly meet the varied needs of our learners?

This question has become more central to my own exploration of adaptive digital tools in elementary education. While Gen AI can produce a completed lesson plan in seconds, the real question is whether these lessons can effectively support students with learning disabilities, English language learners (ELL), advanced students, and every learner in between.

Can AI-Generated Lesson Plans Truly Address Diverse Learning Needs?

After exploring a couple of different Gen AI platforms to create a lesson plan, it has become clear that Gen AI can complete a finished lesson plan, but not without significant details, guidelines, and instructions. Without these things, Gen AI can still produce a lesson plan, but it would potentially not align with what you envisioned, make up information, or give a lesson plan that may seem very useful, but isn’t realistic. Although it may not generate everything as hoped, AI-generated lesson plans often provide a strong basic foundation with some learning objectives, activities, and age-appropriate content (as long as you mentioned the grade level in the prompt).

Something that AI does excel at is creating multiple versions of content quickly. So, although Gen AI cannot do this all by itself, teachers can prompt AI platforms to generate differentiated materials, simplified instructions for different learners’ needs, as well as extension activities and or visual supports. The usefulness of Gen AI emerges when educators use AI as a collaborative tool rather than a replacement for their professional judgement. A teacher might start with an AI-generated lesson plan and then adapt it based on their own professional knowledge of their students’ specific needs, learning styles, and current skill levels. Differentiation requires ongoing assessment and adjustment, which is something AI platforms cannot do independently in a physical classroom. While AI can generate varied content, it’s the teacher who determines which students need which version, monitors engagement and understanding, and makes real-time adjustments during instruction.

So the short answer is: not without a significant teacher expertise and adaptation. But the lesson plan templates can definitely be used as a general starting point as well as a brainstorming tool for different ideas. A successful AI-generated lesson happens in how the teacher implements and adapts it for their own unique classroom context.

What Should Educators Consider When Using AI for Differentiation?

Firstly, educators must maintain their role as instructional decision makers. When using AI to create differentiated lessons, teachers should critically evaluate whether the generated content addresses the range of needs in their classroom. Educators should reflect by asking

• Does this lesson provide multiple levels of content for different learning levels?
• Are there accommodations for different learning approaches?
• Does this allow for various ways of demonstrating understanding?
• Is the content applicable to my learners?
• Is the content that was generated realistic?

How specific you are in the prompt matters significantly. Generic prompts give generic answers. Instead of asking ” make me a lesson on fractions,” teachers need to specify by saying, ” Pretend you are a grade 3 teacher. By using the bc curriculum, please create a lesson on comparing fractions that includes visual models, hands-on activities, simplified language for English language learners, and an extension problem for advanced learners.” The more content provided, the more useful the AI-generated response will be. Educators should also evaluate whether the AI-generated lessons align with UDL and UBD principles, offering multiple means of representation, engagement, and expression. Finally, teachers must remember that AI works best when combined with their own personal expertise and revision of AI content is necessary. By doing all this, teachers are more likely to be able to create comprehensive approaches supporting diverse learners.

Final Thoughts

As I continue to explore different AI platforms and how they work, I am excited to continue my personal learning about how I can thoughtfully integrate these tools in ways to meet every student’s needs. These questions are pushing me to think critically about what effective differentiation truly looks like when AI is involved. I am learning that successful integration requires balancing innovation with intentionality, always keeping diverse learners in mind when making decisions.