Implementation: How are students engaging?
Deep-dive #3 in the Forward Lens series.
A few years ago I was walking through a high school during an EdTech audit when a principal opened a classroom door and said, “this is what tech integration looks like here.” Thirty students, thirty iPads, every one of them watching the same instructional video at a slightly different timestamp. No notes. No discussion. No artifact. When the bell rang, the screens went dark and the students filed out. The default for the 1:1 program was on.
The room had every visible marker of a high-functioning 1:1 program. It was also forty-three minutes of pure consumption — a video that could have played on one screen at the front of the room. And it is everywhere, because consumption is the path of least resistance. A device makes it frictionless to put information in front of students; it takes real design to get students to do something with it. Most schools bought the devices and never budgeted for the design. The result is classrooms that look busy and produce nothing.
Intention asks why this tool, here, now? Investigation asks what information skills are in play? The third pillar — Implementation — asks: How are students engaging? Are they creating, collaborating, problem-solving — or has the tool quietly become the assignment?
In the launch post, I argued that SAMR promised a ladder, and that after fifteen years of SAMR-driven PD, most documented classroom technology use never moved past the lowest rungs. Crompton and Burke’s review of fifty-seven studies supports this directly. Implementation is where “stuck at S” becomes most visible. Students complete digital worksheets that could have been paper. Students watch videos they could have watched as a class. Students play Kahoot quizzes that test recall but produce nothing. Students “use AI to brainstorm” by accepting the first three ideas the model offers. None of this is inherently bad. All of it is consumption. And when a 1:1 program is mostly consumption with a screen instead of consumption without one, the screen isn’t earning its place.
Implementation reframes the question. Instead of asking where on the SAMR ladder is this lesson? — a question that depends on a ladder most teachers were never given time or coaching to climb — Implementation asks: What are students producing in this lesson that they could not have produced without the technology, and would not have produced as well without it?
The case for active over passive is one of the most settled findings in education research. Seymour Papert’s Mindstorms (1980) made the original case for constructionism: knowledge is constructed most durably when students make something external they can share, critique, and revise. John Hattie’s Visible Learning meta-analyses show that the effect size of educational technology varies almost entirely with whether the use is student-centered or teacher-centered. Same tool, same school, same students — wildly different learning gains depending on what students were doing.
The ISTE Standards for Students, revised in 2024, make this explicit. The standards include Empowered Learner, Knowledge Constructor, Innovative Designer, and Creative Communicator — all four describe a student who is making, building, or producing. Not one of the seven ISTE standards describes a student who is consuming.
A few systems have made student creation the explicit organizing principle of their tech integration.
Bullitt County Public Schools (KY) — one of seventy-nine early-adopter districts tracked by CRPE in 2025-26 — has students building AI, not just using it. In their Java Programming I course, students developed an AI assistant platform that answers questions on homework and current events. They also helped design a districtwide anti-bullying counseling tool. The Kentucky Department of Education has made this distinction explicit: there is a notable difference between the skills needed to use AI versus the skills needed to make it.
New York City’s Computer Science for All (CS4All) — launched 2015, reaching approximately one million students — has trained over 3,000 teachers around an explicit goal: prepare students to be active creators of technology, rather than merely consumers. The implementation has been uneven — fewer than 40% of students had met the initiative’s original participation goal by 2022-23. The framing is still the point: when a system declares that students will make technology, the consumption-mode question gets a different answer.
The principle of Action & Expression asks how students demonstrate what they know and act on their learning. UDL 3.0 emphasizes honoring “diverse forms of communication and expression, especially those historically marginalized.” That’s the equity dimension of Implementation. The question is not just whether students are active or passive. It is whose form of expression is the tool enabling, and whose is it foreclosing? A tech-integrated classroom that allows only one mode — say, typed text in a Google Doc — is foreclosing as much as it is enabling.
Three practices that surface the passive-to-active question in any classroom.
The passive-to-active continuum. Take any tech-integrated lesson and ask where on this continuum most students sit, most of the time: Consume → React → Analyze → Apply → Create → Share. If most students are in the first two columns, the technology is decorative.
The “if I cut this tool” audit. For each tool, ask: if I cut it, what is lost? If the honest answer is “nothing” or “the lesson would just be a worksheet,” the tool isn’t earning its place.
The creation ratio. In any unit, count class periods in which students produced something — a draft, diagram, recording, piece of code, model, argument — versus periods in which students consumed something. If the ratio is upside down, the unit is consumption-mode with creation sprinkled in.
The team practice this week
A typical-week audit on a six-column continuum. A creation-ratio reading. Three concrete shifts the team will pilot in the next two weeks. A re-map date. Sixty minutes. One honest look at what students are actually doing on their screens.
What’s next
Next post: Integrity — the pillar that did not exist in any previous framework, because the previous frameworks predated generative AI. The disclosure conversation, the attribution conversation, and the question every assignment now has to answer: where does the student end and the tool begin? If Implementation is the test of whether students are making something, Integrity is the test of whether we can tell.