Brazil has 39 million industrial workers. Most of them have learned from someone standing in front of a whiteboard — a machinist, a welder, an electrician — passing down craft knowledge through demonstration and practice. That model works. It’s worked for generations.
But “better” for vocational education is complicated. And in 2020, we had to find out what it actually meant.
The Problem With Going Digital for Hands-On Learning
Most edtech stories start with a clear villain: the outdated system, the inefficient classroom, the one-size-fits-all curriculum. Vocational education makes that story harder to tell, because the classroom model has a genuine advantage that online learning struggles to replicate.
You cannot learn to wire a circuit board by watching a video. You can learn about it. You can understand the theory. But the moment your hands have to do the thing, something different is required. The muscle memory. The troubleshooting instinct when the circuit doesn’t behave the way the diagram said it would. The physical calibration that comes from doing the task wrong seventeen times before you do it right.
So when SENAI needed to modernize — to serve students across a country the size of a continent, across 500+ schools with wildly varying resources — “just put it online” was never going to be the answer.
What We Built Instead
I conceived and led SENAI Mais Digital: a hybrid digital school model designed specifically for vocational education, supporting 1,000+ students across the network.
The architecture had three components that had to work together:
Thematic learning blocks — modular digital content covering theory, context, and foundational concepts. Students could engage with these asynchronously, at their own pace, across devices.
Practical labs — a mix of remote simulations and kit-based exercises that students completed at home or at local SENAI facilities. The hands-on component wasn’t removed; it was restructured and scheduled to use underutilized lab hours at local schools.
Synchronous check-ins — regular live sessions where students from across the country could attend together, ask questions, and engage with instructors and peers in real time.
The hybrid structure meant a student in Manaus and a student in Porto Alegre could share the same learning experience. They’d never been in the same room before.
The Tracking Problem: Why SCORM Wasn’t Enough
Here’s a technical distinction that matters more than it sounds.
The old standard for e-learning tracking was SCORM — the protocol that tells a learning management system whether a student completed a module. Think of SCORM as a shipping container with one label: “delivered.” The box arrived. That’s all it knows.
SCORM tells you: did the student finish the video?
We implemented xAPI (Tin Can) — a more expressive standard that tracks behavioral interactions with learning content. xAPI is less like a shipping container and more like a detailed shipping manifest: who picked it up, what route it took, what happened when it arrived, whether it was opened.
xAPI tells you: did the student engage with the lab activity? Did they respond to the discussion prompt? Did they revisit the concept video twice before attempting the exercise? Did they give up halfway through the simulation?
That’s a completely different product philosophy. Completion metrics tell you that learning happened. Behavioral data tells you how it happened — and more importantly, where it broke down.
“SCORM tracks ‘done.’ xAPI tracks ‘how they learned.’ For vocational education, the difference is the whole point.”
For hands-on learning especially, knowing where a student struggled in a simulation tells an instructor something actionable. Knowing they clicked “complete” tells them almost nothing.
🚧 Need more context: What were the enrollment numbers and completion rates for the pilot cohort? Do we have any data on student outcome improvements — job placement, skills assessment scores — comparing the hybrid model to traditional in-person training?
What It Took to Make It Work
The visible part of this project was the platform and the curriculum design. The invisible part — the part that actually determined whether it worked — was teacher enablement.
We trained educators across the national network to build their own e-learning content. Not just to deliver content that someone else designed, but to create it: to understand how to structure a module, how to think about the sequence of a practical exercise, how to build something that could work for a student three cities away without an instructor in the room. That capability didn’t exist at SENAI before. Building it was as much of the work as building the platform.
We also restructured resource utilization: practical lab sessions were scheduled during hours when local SENAI facilities and instructors were underused. The program didn’t require new infrastructure — it required smarter scheduling of what already existed.
The Recognition
The program was featured on Futura, a national educational television network. It was presented as a reference model at the Google Government & Education Summit and recognized at the TVET World Symposium — an international conference on vocational and technical education.
That last one mattered most to me. Vocational education rarely gets the attention it deserves in edtech conversations, which tend to focus on universities and knowledge workers. The TVET recognition said something about the model: that what we built for mechanics and electricians and welders was worth learning from. That hands-on learners deserve the same quality of product thinking as everyone else.