{"id":339,"date":"2026-04-27T16:00:00","date_gmt":"2026-04-27T08:00:00","guid":{"rendered":"https:\/\/teachertalk.site\/?p=339"},"modified":"2026-04-27T16:02:45","modified_gmt":"2026-04-27T08:02:45","slug":"from-efficient-to-transformative-ai-samr-and-tpack","status":"publish","type":"post","link":"https:\/\/teachertalk.site\/?p=339","title":{"rendered":"From Efficient to Transformative: AI, SAMR and TPACK"},"content":{"rendered":"
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Week 13 \u00b7 Pedagogy \u00b7 Teaching with Technology<\/div>\n

From Efficient to Transformative: AI, SAMR and TPACK<\/h2>\n
“The question is not how can I use AI?<\/em> \u2014 it is how can AI help me create a transformative, student-centred learning experience?<\/em>“<\/div>\n
\u23f1 5 min read \u00b7 By Matt Faulkner \u00b7 Pedagogy \/ Teaching with Technology<\/div>\n
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Walk into any staffroom right now and AI is in the conversation. Some teachers are experimenting enthusiastically, others are cautious, and most are quietly trying to work out how to respond without losing what makes their teaching meaningful.<\/p>\n

In a recent Faculty Focus article \u2014 Humanizing Generative AI: Three Ways to Keep Students at the Center of Your Classroom<\/a> \u2014 Dr Richard Violanti names a pattern that should sit at the heart of every AI-in-education conversation we are having this year. Teachers are using generative AI to draft emails, build slides, summarise readings and generate quizzes. All useful. All versions of what we already did. As Violanti puts it, the technology “enhances the product \u2026 but leaves the process of learning for the students unchanged.”<\/p>\n

That diagnosis deserves our attention. If our ambition stops at efficiency<\/em>, we will have adopted the most powerful learning technology in a generation and used it to make a slightly faster worksheet.<\/p>\n

If our ambition stops at efficiency, we will have adopted the most powerful learning technology in a generation and used it to make a slightly faster worksheet.<\/div>\n

This post is a follow-up to Violanti’s piece. The aim here is to take his core argument \u2014 that AI’s real promise is pedagogical, not administrative \u2014 and sit it alongside two of the most widely used frameworks in educational technology: the SAMR model<\/strong> (Puentedura, 2006) and the TPACK framework<\/strong> (Koehler & Mishra, 2009). Together, they give us a sharper way to see when AI is genuinely transforming learning, and when it is quietly substituting for what was already there.<\/p>\n

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The efficiency trap, named<\/h3>\n

Violanti’s observation is not new, but it is important. Decades of educational technology research \u2014 from Larry Cuban onwards \u2014 show that most classroom innovations end up sustaining<\/em> existing practice rather than transforming it. Interactive whiteboards replaced chalkboards. PDFs replaced photocopies. Learning management systems replaced filing cabinets. Each was a genuine workflow improvement. None, on its own, changed what learning felt like for students.<\/p>\n

Generative AI is arriving with the same gravitational pull. The path of least resistance is to wire it into what we are already doing: a faster quiz generator, a tidier email reply, a cleaner slide. These uses are not bad \u2014 they give time back. But if that is where we stop, AI becomes another tool that makes the teacher’s life marginally easier without making the student’s learning meaningfully different.<\/p>\n

The question Violanti poses is the right one, and it links directly to the kind of intentional planning we have talked about in earlier posts on planning with purpose<\/a>: not how can I use AI?<\/em>, but how can AI help me create a transformative, student-centred learning experience?<\/em><\/p>\n

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SAMR: a mirror for how we are actually using AI<\/h3>\n

Ruben Puentedura’s SAMR model offers four levels of technology integration: Substitution, Augmentation, Modification and Redefinition<\/strong>. The lower two levels enhance<\/em> existing tasks. The upper two transform<\/em> them \u2014 they make possible learning experiences that simply could not exist without the technology.<\/p>\n

Mapped onto generative AI, the levels become uncomfortably clear.<\/p>\n

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\ud83e\ude9c SAMR applied to generative AI<\/div>\n