Crafting Quality Math Lessons with AI Assistance

Summary for Educators

Based on:
Original Article: Crafting Quality Math Lessons with AI Assistance
Author: Jen Knudsen
Source: MiddleWeb
Published: September 27, 2026; updated September 28, 2026【turn617982view0†L23-L30】

THE BIG IDEA

Jen Knudsen’s message is both practical and reassuring: AI can help teachers design stronger math lessons, but only when the teacher supplies the instructional judgment. If a teacher gives AI a topic and grade level, the result will usually be generic. Better lessons come from a structured process in which teachers tell the AI what matters, review the draft against their own pedagogy, revise what does not work, and only then ask the AI to create student materials.

THE ARTICLE IN BRIEF

Knudsen proposes a four-step process for using AI tools such as ChatGPT, Gemini, or Claude to build math lessons.

Step 1: Give AI the essentials.
Teachers begin with a simple planning table built around five categories: pedagogy, topic or standard, available resources, key features, and special supports for selected students. The goal is to “jump-start” the AI with enough context so it produces something closer to the teacher’s style and students’ needs.

Step 2: Check the lesson against your teaching method.
Knudsen notes that different AI tools tend to default to different instructional styles. Teachers therefore need to compare the lesson draft to the instructional model they actually want—guided discovery, explicit instruction, gradual release, or another approach—and then revise as needed.

Step 3: Review the draft critically.
This is where teacher expertise matters most. Knudsen recommends checking whether the lesson components truly serve their purposes, whether the lesson includes all needed problem types, and whether it anticipates likely student misconceptions. She illustrates this with examples from teaching fraction addition, in which some AI drafts omitted important cases or only weakly addressed common errors.

Step 4: Ask AI to produce student materials only after the lesson is strong.
Once the teacher is satisfied with the lesson design, AI can help generate practice sheets, guiding questions, slides, or other materials. But Knudsen warns teachers not to trust AI-generated answer keys blindly and to review language carefully for precision and accessibility, especially for English learners.

KEY TAKEAWAYS

• AI is most useful as a planning partner, not as an automatic lesson writer.
• Strong prompting begins with clear thinking by the teacher about pedagogy, goals, resources, and supports.
• Teachers should evaluate drafts in at least two ways:
  1. Does the overall lesson arc fit the intended pedagogy?
  2. Does the content address the right concepts, problem types, and misconceptions?
• AI can save labor—especially when generating examples, contexts, or practice problems—but it still needs close human review.
• The process may not always save time, but it can reduce workload and surface the planning principles teachers already use instinctively.

WHY IT MATTERS

This article is especially useful because it avoids both extremes. It does not portray AI as magic, nor does it dismiss it as a gimmick. Instead, it offers a disciplined way to use AI to strengthen lesson design while preserving teacher expertise.

For school leaders, the article also highlights a broader truth: quality AI use in schools depends less on the tool and more on the user’s clarity, pedagogy, and professional judgment. AI can broaden examples, suggest data sources, and generate drafts, but it still takes a knowledgeable teacher to decide what students actually need to learn and how best to teach it.

LEADERSHIP IMPLICATIONS

Principals, coaches, and curriculum leaders may want to consider several questions:

• Are teachers being taught how to prompt AI in ways that reflect sound instructional design?
• Do professional learning sessions help teachers critique AI-generated lessons rather than merely produce them?
• Are departments developing shared checklists for reviewing AI-created tasks, examples, and practice materials?
• Could leaders model responsible AI use by emphasizing that the tool supports—not replaces—teacher expertise?

SCHOOL LEADERSHIP 2.0 TAKEAWAY

Knudsen’s article offers a smart working rule for educators: Use AI to draft, expand, and assist—but rely on teacher expertise to decide, refine, and ensure quality. The best AI-supported math lesson is not the one the machine writes fastest. It is the one a skilled teacher improves thoughtfully.