WEBVTT

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OK, so if you're involved in educational technology,

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maybe building it, buying it, or even using it

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in the classroom, you've probably felt this.

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This kind of disconnect. Yeah, exactly. Between

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the systems you're given and, well, what you

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actually need to do the job. Right. And today,

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we're really going to try and crack open why

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that happens. There's a fundamental reason for

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that gap. There is. And the core idea here. coming

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from research like Gary Ackerman's work on IT

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for teaching, is that designing tech for schools

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isn't like designing for a regular business.

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It's just different. Oh, so. Well, if you look

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closely at what teachers actually do, their workflow,

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it's pretty much split, structurally split into

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two very distinct, almost opposing kinds of tasks.

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OK, two worlds. And that's our mission for this

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deep dive, right, to unpack that. Exactly. We

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need to define these two categories. Let's call

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them, say, highly predictable tasks on one side.

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And on the other maybe. Unpredictable authentic

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learning tasks. That's a good way to put it,

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yeah. And we need to understand why that first

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world, the predictable one, feels so familiar

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to IT folks. You know, manageable. Right. Well,

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the other one. The authentic learning stuff.

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It just throws in so much uncertainty. It really

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challenges how we even think about designing

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systems. And you really need to get this difference

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because if you don't... If you try to apply a

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rigid, predictable business solution to that

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second kind of task. The creative messy kind.

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Yeah. You end up with tech that's just frustrating.

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Rigid. It actually gets in the way of good teaching

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instead of helping it. Exactly. You've got to

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respect the dichotomy. It's fundamental. OK.

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So let's start with the familiar ground, category

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one. The highly predictable tasks. This is where

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IT systems feel, well, comfortable. Definitely

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comfortable. Yeah. These tasks, they're defined

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by being Well, predictable. Makes sense. And

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they look a lot like the administrative jobs

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you see in any organization, really. Like back

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office stuff. Sort of. Yeah. Because the inputs

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are pretty standard, the steps are repeatable,

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and you know what an output should look like.

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IT can handle that. So they can plan it out.

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Plan it, design the system, test it. All with

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a pretty high degree of certainty that it's going

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to work as expected. So what are some concrete

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examples for people listening? We're talking

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about the basics. Yeah, the crucial standardized

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functions. Think data management. That's the

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big one. Like recording attendance every day?

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Perfect example. Recording attendance, managing

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student records, transcripts. Putting in grades,

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calculating GPAs. Exactly. All that essential

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bookkeeping. It fits neatly into, you know, a

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requirements document that an IT department can

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understand and build for. And it's not just pure

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admin, is it? Does this predictability extend

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to actual teaching tools sometimes? It does,

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yeah. Particularly for instructional tools that

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kind of mirror workforce training. Ah, okay.

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Like compliance training. Right. Mandatory safety

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training. Or maybe those rote skill building

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apps. You know, where the goal is just hitting

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a standard metric. Can the student do X? Yes

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or no. The success measure is super clear in

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those cases. Did they pass the quiz? Is the grade

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recorded correctly? It's transactional. efficient.

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And that's why, historically, so much early edtech

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investment went right there. Because it fits

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the model's IT already knows, like ERP systems.

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Enterprise Resource Planning. Or CRM. Customer

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Relationship Management. Yeah. Those systems

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are built for managing predictable data within

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an organizational structure. Category 1 tasks

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fit right in. They provide stability. Structure.

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They're the backbone, absolutely. But... And

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this is the crucial part. If a school only focuses

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its tech on category one... They're missing something

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big. They're missing the core mission of education,

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really, which is about discovery, creativity,

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critical thinking, not just managing data efficiently.

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Okay, that raises the obvious question then.

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If category one is so clear, so manageable for

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IT, why don't innovative schools just stick to

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that? Why do teachers always seem to be pushing

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the boundaries, needing more? Ah, because the

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real deep learning. The stuff that really matters

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intellectually, that happens in category two.

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The unpredictable challenge. Right. The authentic

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learning environment. And this is where that

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whole analogy to business IT just completely

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falls apart. OK. This is where the uncertainty

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comes flooding in. So we need to define authentic

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learning a bit more clearly. What does that actually

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mean in this context? It means tasks that deal

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with complex, messy, real -world kinds of problems.

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Not simple multiple -choice answers. Definitely

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not. These are problems that don't have one single

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right answer. And it's the process of tackling

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these problems that messes with traditional IT

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planning. How so? What makes it so unpredictable?

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Well, the unpredictability isn't just random

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chaos. It comes from, I'd say, three main things

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inherent in this type of learning. OK, what's

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the first one? First, the direction the learning

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takes. It's often driven by the student's own

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interests and questions. Which you can't standardize,

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not across a whole class, let alone a grade level.

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Exactly. So right away, your path isn't fixed.

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Second, the learning pulls from all sorts of

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information sources. Not just the textbook. Right.

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You might be grabbing data from public websites,

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digging into historical archives online, maybe

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even generating your own data through experiments

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or surveys. It's diverse and often unconventional.

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Okay, student -driven direction, diverse sources.

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What's the third element? The third one. And

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this might be the biggest hurdle for IT requirements,

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is that the output, the actual product of the

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student's learning, isn't defined at the start.

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It emerges. It emerges as the project goes on.

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The outcome evolves based on what they discover.

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You don't know exactly what it will look like

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when you begin. Can you give us a concrete example

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of that? An emergent product. Sure. Let's say,

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okay, a history class is doing a project on local

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urban development. Maybe category one systems

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like shared drives help them store initial research

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docs. Fine. Standard stuff. But as they dig deeper,

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they realize. Yeah. You know what? The best way

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to show how this specific neighborhood changed

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over 50 years is to build an interactive 3D map.

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Okay. That sounds more complex. Way more complex.

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Way. And now, suddenly, they need access to maybe

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some high -end visualization software, maybe

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something that was bought for the engineering

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or architecture students, and they need that

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software to somehow talk to their standard cloud

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platform where they're collaborating. So hang

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on. They're using a tool maybe meant for designing

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buildings to teach local history. That's repurposing

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on a big scale. It absolutely is. And that repurposing,

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that experimentation, that's the killer variable

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for IT designers. Because it wasn't planned for.

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Never. Yeah. When teachers are facilitating this

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kind of authentic learning, they're constantly

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questioning their own methods. They're exploring

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new ways to teach, trying out different tools

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and technologies. They are, in effect, innovators

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themselves. And as the source material highlights,

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they actively look for ways to use the existing

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IT systems for things that were never conceived

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when those systems were first spessed out and

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purchased. Exactly. That must create chaos for

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things like system configuration and security.

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guarantees configuration drift, you know, the

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system slowly moving away from its intended documented

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state. Can you give an example of that drift?

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Okay, imagine a standard learning management

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system in LMS. It has a basic discussion board

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feature, right? IT probably intended it for simple

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teacher announcements or student Q &A. Pretty

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straightforward use case. But then, an innovative

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English teacher decides they want to use that

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same discussion board to manage a really complex

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multi -stage peer review process for essays,

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with different threads for drafts, feedback,

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revisions. Wow, okay. Can the system even do

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that easily? Probably not easily. But the teacher

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will find a way. They'll hack the settings, use

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weird workarounds, maybe combine it with other

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tools. They'll make it work because their teaching

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goal, their pedagogy, is more important to them

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than following the IT department's intended use

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case. They're prioritizing the learning over

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the system's neat little box. Precisely. and

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the result of all that constant bottom -up innovation

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and repurposing. It just injects way more variables,

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way more uncertainty into everything IT manages.

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Design, testing, security updates, overall system

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stability. So the neat, tidy framework built

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for category one tasks just can't cope with the

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demands of category two. It kind of buckles under

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the pressure. It's the classic tension, isn't

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it? Stability versus flexibility. Efficiency

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versus innovation. Okay, let's try and synthesize

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this now. Bring the two worlds together. Because

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this fundamental split, this tension, it's the

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core design dilemma in EdTech, and it really

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impacts schools, budgets, IT teams. Oh, it absolutely

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does. It puts them in a really tough spot. On

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one hand, you have to maintain those super reliable

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lockdown systems for category one. Attendance,

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grades, payroll, standardized test data. That

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stuff has to be accurate and secure. No room

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for error. Exactly. That demands stability, clear

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rules, governance, long planning cycles for upgrades.

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Predictability is paramount there. But at the

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exact same time? At the exact same time, you

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need to somehow support category two, the authentic

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learning, which demands the opposite. Constant

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flexibility, adaptability, the ability to integrate

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new tools quickly, handle unexpected uses. And

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for you listening, if you're managing a school

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budget or you're designing these systems... This

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split explains why that simple off -the -shelf

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system, the one that worked perfectly in the

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finance office, is the source of constant complaints

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from your most creative teachers. They're not

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just being difficult. The system literally doesn't

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support the way they need to teach. And supporting

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those unauthorized or unconceived uses must be

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expensive, right? A drain on IT resources. It's

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hugely expensive in terms of time and effort.

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When a teacher pushes a system beyond its design,

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who fixes it when it breaks? The IT team. Right.

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They spend hours troubleshooting weird issues,

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finding workarounds, patching security holes

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that pop up because the system is being used

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in unexpected ways. It's basically creating technical

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debt or configuration debt within the school's

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context. And I bet it also leads to what people

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call shadow IT. Oh, definitely. Teachers just

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get fed up. They'll start using their own personal

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cloud accounts or finding free online tools or

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installing software the district hasn't approved.

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Because the official school system is just too

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rigid or slow to adapt to what they need now

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for an emerging student project. Exactly. The

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inflexibility of the Category 1 focus system

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actually drives the creation of these decentralized

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unsupported solutions, which of course creates

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massive headaches for data privacy, security,

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and management down the line. So the innovative

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teaching still happens? Sometimes. Yeah, but

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it happens despite the official IT infrastructure

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not because of it, you know stepping back and

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looking at the sources like Gary Ackerman's work

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you mentioned This isn't a new problem he's identified.

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He's been focused on this specific tension for

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a while, hasn't he? He really has. It's been

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a central theme in his research and writing,

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this core idea that schools are not businesses

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and the technology needs are fundamentally different

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because of this split in tasks. He really challenges

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that common assumption that you can just take

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business IT practices and drop them into a school.

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Yeah, his book titles actually say it all, don't

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they? Things like technology and schools. It

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isn't like this in business. That title just

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crystallizes the whole issue we're talking about.

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And you see it in his earlier work too, right?

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Like, efficacious technology management from

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2018 or technology -rich teaching from 2015.

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They all grapple with the same core challenge.

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How do you manage technology effectively, efficiently,

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when the central activity it's supposed to support

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real teaching and learning is inherently experimental?

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often unpredictable, and driven by human interaction

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and creativity. It's a framework that actually

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makes sense of the friction. It validates the

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teacher who feels constrained by the tech. And

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it validates the IT director who feels like their

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carefully planned systems are constantly being

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undermined or broken by the users. It shows the

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conflict is structural. It's baked into the nature

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of education itself, not just personalities clashing.

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Exactly. It's the fundamental difference between

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designing systems primarily to manage information

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efficiently. Category 1. First is designing systems

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to facilitate discovery and creation. Category

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2. Okay, so just to recap quickly, we've covered

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these two critical types of tasks teachers face.

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The predictable, data management, admin -like

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tasks. Category 1, familiar territory for IT.

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And then the unpredictable, complex, authentic

00:12:33.649 --> 00:12:36.350
teaching and learning tasks. Category 2. where

00:12:36.350 --> 00:12:38.350
student interest and emergent outcomes drive

00:12:38.350 --> 00:12:40.929
everything, introducing massive complexity for

00:12:40.929 --> 00:12:43.370
IT systems. And we've seen how trying to manage

00:12:43.370 --> 00:12:46.070
category two with systems designed only for category

00:12:46.070 --> 00:12:48.809
one leads to frustration, workarounds, shadow

00:12:48.809 --> 00:12:51.529
IT, and ultimately hinders innovative teaching.

00:12:51.690 --> 00:12:53.730
Right, and it forces us to confront the fact

00:12:53.730 --> 00:12:56.450
that the most powerful pedagogical moments, the

00:12:56.450 --> 00:12:58.470
real breakthroughs in student understanding often

00:12:58.470 --> 00:13:01.149
happen precisely when teachers and students push

00:13:01.149 --> 00:13:03.230
technology beyond its intended limits. Which

00:13:03.230 --> 00:13:05.549
brings us perfectly to our final... provocative

00:13:05.549 --> 00:13:08.090
thought for you, the listener, to chew on after

00:13:08.090 --> 00:13:10.730
this deep dive. Okay. If the most valuable, most

00:13:10.730 --> 00:13:13.549
impactful teaching often relies on teachers constantly

00:13:13.549 --> 00:13:16.309
finding ways to use IT systems for purposes that

00:13:16.309 --> 00:13:18.950
were never conceived in the original plans. If

00:13:18.950 --> 00:13:22.230
that hacking and repurposing is actually a sign

00:13:22.230 --> 00:13:25.070
of good, responsive teaching. Then does that

00:13:25.070 --> 00:13:27.350
mean the most effective educational technology

00:13:27.350 --> 00:13:28.809
systems need to be designed differently from

00:13:28.809 --> 00:13:31.250
the ground up? Do they need to somehow embrace

00:13:31.250 --> 00:13:35.879
their own... well. planned obsolescence, or at

00:13:35.879 --> 00:13:39.899
least plan for perpetual reconfiguration. Should

00:13:39.899 --> 00:13:42.960
constant flexibility, the built -in capacity

00:13:42.960 --> 00:13:46.769
for ongoing unplanned change Should that be the

00:13:46.769 --> 00:13:49.350
primary design feature for EdTech, maybe even

00:13:49.350 --> 00:13:52.230
more important than long -term stability or rigidly

00:13:52.230 --> 00:13:54.590
defined functions? It's a radical shift in thinking.

00:13:54.929 --> 00:13:57.450
It absolutely is, because that changes the whole

00:13:57.450 --> 00:13:59.129
budgeting and procurement model too, doesn't

00:13:59.129 --> 00:14:02.529
it? Moving away from buying durable, fixed systems

00:14:02.529 --> 00:14:05.669
towards investing in fluid, adaptable platforms

00:14:05.669 --> 00:14:08.110
and maybe the ongoing support needed to manage

00:14:08.110 --> 00:14:10.529
that constant change, that's a massive challenge

00:14:10.529 --> 00:14:13.269
for most districts. A huge challenge, but maybe

00:14:13.269 --> 00:14:16.269
a necessary one. Something to think about. Definitely

00:14:16.269 --> 00:14:18.009
food for thought. All right. That's all the time

00:14:18.009 --> 00:14:19.809
we have for this deep dive. Thanks for joining

00:14:19.809 --> 00:14:21.330
us. Thanks for having me. We'll catch you next

00:14:21.330 --> 00:14:21.490
time.
