When teachers talk about using AI in the classroom, the first question that usually comes up is: How does this actually change learning? The SAMR model offers a practical way to think about that question.
Developed by Ruben Puentedura, the SAMR framework helps educators evaluate how technology integrates into teaching and learning. It describes four progressive levels: Substitution, Augmentation, Modification, and Redefinition. Together, these levels move us from using technology as a replacement tool to using it as a catalyst for new learning experiences.
AI now brings fresh possibilities to each of these stages. The key is not to treat AI as a shortcut or a way to digitize tasks, but as a partner that extends thinking, creativity, and collaboration.
SAMR model is one the four frameworks I recommended in my recent book Teaching with AI that teachers can use to effectively integrate AI in teaching. In this post, I provide quick ideas on how SAMR and AI work together.
Let’s first start with the four levels of the SAMR model:
1. Substitution: AI as a Direct Replacement
At this level, technology substitutes a traditional tool without changing the nature of the task. The learning goal remains the same; only the medium shifts.
For instance, students can dictate their essays into ChatGPT using voice input. The task(e.g.,writing an essay) doesn’t change, but the method becomes more accessible. This can help students who struggle with typing or handwriting express their ideas more fluently. The focus is on ease and efficiency, not yet on innovation.
2. Augmentation: AI Adds Functional Improvement
Here, AI adds value by enhancing how the task is completed. The learning process benefits from greater clarity, speed, or precision.
A simple example is students using ChatGPT, Grammarly, or Quillbot to refine grammar, improve tone, or clarify ideas. The task, writing, stays the same, but the support from AI helps students strengthen their communication skills. They can instantly see how small language choices change the tone of their work, which becomes a quick feedback loop for self-improvement.
Teachers often find this stage useful for supporting students’ writing fluency and confidence. It allows learners to focus more on content and ideas while receiving immediate linguistic feedback.
3. Modification: AI Enables Task Redesign
This stage marks a shift from enhancement to transformation. AI allows for significant redesign of the task, giving learners new ways to collaborate, publish, and interact with content.
Imagine students co-writing stories with ChatGPT. They generate drafts, revise them through feedback, and publish interactive versions online. This process turns writing into a shared, iterative experience. Students engage in dialogue with AI, seeing how narrative decisions affect character development, pacing, and style.
Here, AI doesn’t just support the process, it becomes part of the creative exchange. Students develop metacognitive awareness as they negotiate between their ideas and the model’s suggestions.
4. Redefinition: AI Creates New Learning Possibilities
At the redefinition level, AI allows for entirely new tasks that were previously unimaginable without it. Learning expands beyond the traditional classroom boundaries.
For example, students can design a custom GPT in ChatGPT to guide them through math problems, explain steps, and clarify underlying concepts. This personalized tutor responds in real time, adapting explanations to each learner’s needs.
In another case, a history class might create an AI “historian” trained on curated primary sources to simulate conversations with figures from different eras. Such tasks merge inquiry, creativity, and authentic problem-solving, core elements of deep learning.
Using SAMR as a Reflective Framework
Integrating AI through the SAMR lens helps teachers move beyond convenience and toward intentional pedagogy. The framework invites reflection:
- Are my students simply using AI to complete a task faster, or are they engaging in deeper thinking?
- Does AI expand how they collaborate, create, or question?
- Have I designed activities that would be impossible without it?
These questions guide meaningful AI integration. It’s not a race to reach the “top” of the pyramid but a journey of purpose. Each level has value depending on context, subject, and learner needs.
Final Thoughts
AI can support every stage of the SAMR model, but its true potential lies in how teachers use it to shape thinking, creativity, and collaboration. When educators view AI through this lens, they start to see technology as part of a larger learning design conversation, one focused on building agency, curiosity, and deeper understanding. The SAMR model doesn’t just help us categorize AI use. It helps us ask the right questions about learning itself.
