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For students managing design work, sketching, deadlines, and creative pressure — and for educators seeking greater clarity in their teaching — this blog offers focused, practical support in Design & Technology, from visual communication and design process thinking to digital fabrication. For those seeking more tailored support, I am also available for student consultations and teacher workshops. Since 2007, DesignJournalSOS has helped readers navigate real classroom challenges with grounded strategies and insight. Have a question or topic you’d like explored? Your reflections are welcome — they help keep this space alive and growing. Copyright © 2007–2026 Daniel Lim

23 September 2026

From Portable Fan to Speaker Holder: SCAMPER, AI and 3D Printing

A portable fan, a rattan pattern and a small Bluetooth speaker became the starting points for this project.

I wanted to design a holder for my Xiaomi portable speaker, with its circular grille seated flush at the top. The process brought together several ideas I often discuss with students: observing existing products, using SCAMPER, developing a form and checking whether it can actually be made.

It also gave me an opportunity to build an AI-assisted workflow around a real design problem.

Completed white Xiaomi speaker holder with a perforated curved body and orange-and-white circular base.
Photograph: the printed holder with the speaker fitted.

Begin with the object you are designing for

Before developing the holder, I examined the speaker from different directions.

Front of the Xiaomi speaker showing its circular perforated grille.
Front
Back of the speaker showing the power button and charging connection.
Back
Side of the speaker showing its cylindrical casing and thickness.
Side

Photographs: each view reveals information that a single picture cannot provide.

The speaker measured 52 mm in diameter and 24 mm thick, with a mass of 66.2 g. These figures became design constraints.

The diameter and thickness informed the receiving socket. The mass mattered because the speaker would sit high above the tabletop, towards the front of the holder. Its position needed to be considered together with the base.

Speaker held beside a steel ruler while its casing and rear details are examined.
Inspecting the details
Xiaomi speaker on a digital scale displaying 66.2 grams.
Measuring the mass

Photographs: record dimensions, mass and access requirements before modelling.

For students, this is a useful habit: connect every measurement to a design decision. A measurement becomes valuable when it helps determine what to make.

SCAMPER: combine, adapt and modify

The main form came from a portable handheld fan. Its upright body and curved head suggested a way to raise the speaker and orient it towards a listener.

I combined this with a rattan-inspired pattern to develop the holder’s surface.

Supplied portable-fan reference with a cylindrical handle and curved upper housing.
Form reference
Supplied rattan reference showing a repeating woven pattern with open spaces.
Pattern reference

Supplied design references: the fan informed the overall form; the rattan informed the pattern.

This is Combine in SCAMPER: bringing selected characteristics together to serve a new purpose.

Adapt followed. The area corresponding to the fan outlet became a socket for the speaker. The woven appearance became a pattern of openings in a printed shell, with shallow patterning over the closed base.

Modify helped develop the proportions, speaker orientation and base.

This follows the approach in my earlier post on concept borrowing and idea development: identify a useful characteristic, then develop it for the current design situation.

There is no need to force every SCAMPER letter into one project. What matters is explaining how a prompt changes the idea and why that change is useful.

Early CAD proposal showing the perforated holder alone and with a schematic speaker installed.
Early CAD preview: the combined idea becomes a model that can be inspected.

Develop the form through specific revisions

I wanted the speaker’s axis tilted 20° above horizontal, aiming it towards a listener seated above desk level. This was a positioning intention; improved listening performance would need evaluation.

The early model also had an awkward interruption around the back of the bend. I returned to the fan reference and requested a continuous circular section flowing into a seamless curve.

CAD side-profile comparison showing the earlier interrupted contour and revised continuous curved elbow.
CAD comparison: refine the transition while retaining the intended speaker angle.

I subsequently removed the rectangular access openings so the rattan pattern continued across those areas. This improved visual continuity, but also restricted access for cleaning out supports and handling the speaker.

CAD comparison showing rectangular service openings replaced by the continuing perforated pattern.
CAD comparison: removing a feature introduces consequences as well as visual changes.

The developed holder was 160 mm tall, with a 60 mm body diameter and a 120 mm diameter, 5 mm thick base. The wider base addressed the raised speaker’s position. Physical stability still belongs in the evaluation stage.

Final patterned holder CAD front view showing the speaker opening and broad circular base.
Front view
Final patterned holder CAD rear view showing the curved shell and reinforcing solid regions.
Rear view

CAD views: inspect the design from several directions, including surfaces hidden in the presentation view.

As I explained in combining ideas and further refinements, combinations need continued development to become practical solutions.

How I built the AI-assisted workflow

I organised the work into a repeatable sequence:

Measure and photograph → provide references and constraints → generate a model → inspect → revise → check print preparation.

I used Codex to help generate and revise the model, prepare previews and check the geometry and slicing. My role was to establish the requirements, judge the results and give specific feedback.

For example, identifying an interrupted rear contour and requesting a seamless curved transition gave the revision a clear target.

For students using AI, preserve this reasoning in the design journal. Show the input, the result, the issue you noticed and the change you requested. That record makes your contribution visible.

Appearance also affects manufacturing

The perforated body needed consideration during print preparation, particularly around the tilted head and speaker socket. The saved support preview shows where temporary structures were generated.

Sliced toolpath preview showing the holder in tan and removable supports in blue.
Slicer preview: plan how supports will be removed as well as where they are needed.

I also explored a smooth, hollow alternative while retaining the main dimensions.

The reviewed patterned project had an estimated print time of 6 hours 17 minutes. The smooth version was estimated at 3 hours 57 minutes—approximately 37% shorter. These were slicer estimates with retained process settings; the changed geometry and base colour coverage both affected the comparison.

AI-generated visualisation comparing white patterned and smooth holders with orange base tops and silver speakers.
AI-generated visualisation guided by CAD previews—not a photograph or dimensional drawing.

Bring the learning back to evaluation

The finished photograph shows the speaker fitted into the printed holder. A fuller evaluation should ask:

  • Can the speaker be inserted and removed conveniently?
  • Does the holder remain stable during ordinary handling?
  • Is charging access manageable?
  • Does the orientation suit the intended listening position?
  • Are the patterned appearance and printing time a worthwhile trade-off?

Teachers can use this sequence as a design-journal exercise. Ask students to identify what they borrowed, explain each modification and propose a test for each important requirement.

A convincing design journal shows how decisions develop—and what evidence is still needed to judge the result.

#XiaomiSpeakerHolder #SCAMPER #ConceptBorrowing #3DPrinting #AIAssistedDesign #DesignProcess #DesignAndTechnology #DesignEducation #DesignJournalSOS

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13 September 2026

Earn the AI: Why Students Should Think Before Using AI

Earn the AI: Why Students Should Think First, Then Use AI

AI can make students faster.

But faster at what?

The conversation around AI in education is often framed as:

Should students use AI?

I think there is a better question:

When should AI enter the thinking process?

That distinction matters.

A student receives a difficult task.

They are uncertain. They do not know where to begin.

So they ask AI.

Within seconds, the problem is explained, the structure is clearer, and a possible answer appears.

The task gets easier.

But something may also disappear:

the thinking the task was designed to develop.

The answer improved.

Did the learner?

Some friction builds capability

AI is brilliant at removing friction.

That is often useful.

But not all friction is waste.

Some of it is where learning happens.

The uncertainty before a solution.

  • The failed first attempt.
  • The sketch that does not work.
  • The explanation that exposes a gap in understanding.
  • The moment when the learner has to decide what to try next.

Remove all of that too early and we risk improving task completion while weakening independent reasoning.

We become more efficient.

But possibly less capable.

Earn the AI

So perhaps the principle should not be:

Use AI.

Or:

Do not use AI.

Instead:

Earn the AI.

Before AI contributes its thinking, the learner should contribute theirs.

  • A hypothesis.
  • A sketch.
  • A paragraph.
  • A solution.
  • A first attempt.

Something.

This creates a very different relationship with AI.

Instead of asking:

Give me the answer.

The student can ask:

Challenge my answer.

That difference is enormous.

The START Framework

A simple sequence might look like this:

S — Struggle
Stay with the problem long enough to understand what is difficult.

T — Try
Produce an independent first attempt.

A — Ask
Now bring in AI to critique, challenge or extend your thinking.

R — Review
Compare the AI response with your own. What did you miss? What did AI miss?

T — Take Ownership
Decide what survives. Rewrite it. Explain it. Defend it.

The sequence matters:

Struggle → Try → Ask → Review → Take Ownership

AI is still part of the learning.

It simply enters later.

Why the first attempt matters

The first attempt gives students something AI cannot give them:

a reference point for their own thinking.

Without it, they only see the AI response.

With it, they can compare:

  1. This is how I thought.
  2. This is how AI approached it.

That gap becomes the learning.

  • Perhaps the student lacked evidence.
  • Perhaps their reasoning was weak.
  • Perhaps the AI answer was polished but generic.
  • Perhaps the student's original idea was actually better.

Now AI is not simply generating work.

It is making thinking visible.

A simple classroom rule

For selected tasks:

No AI until there is evidence of an independent attempt.

Not because struggle is automatically good.

But because some capability can only develop when the learner has something to push against.

And this may be one of the most important forms of AI literacy we teach:

Not only knowing how to use AI.

But knowing when not to use it yet

The goal is not independence from AI.

Nor dependence on AI.

The goal is agency.

Knowing when to think alone.

Knowing when to ask for help.

Knowing what to accept.

Knowing what to reject.

And knowing when the final judgement still belongs to you.

If AI gives us the answer before we have properly met the problem ourselves, we should keep asking:

What exactly did we learn?

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#ArtificialIntelligence #AI #Education #AIinEducation #EdTech #TeachingAndLearning #FutureOfEducation #LearningDesign #CriticalThinking #StudentAgency #Teachers #GenerativeAI

03 September 2026

The First Two Soldering Tutorials for the Year 9 Bluetooth Speaker Project

The first two soldering tutorials are now available for students working on the Bluetooth Speaker project.

Created especially for Year 9 students, these short videos explain how to check that a soldering iron is ready to use and how to make secure wire connections between the Bluetooth module and speaker component.

1. How to Tell If a Soldering Iron Is Hot Enough — 2 Easy Tests

Start here before making any connection. This video demonstrates two quick tests you can use to tell whether the soldering iron has reached the correct working temperature.

Watch this tutorial on YouTube

2. How to Solder Wires to Speaker Component

This step-by-step demonstration shows how to prepare the wires, heat each joint correctly, apply solder, and make secure connections for the Bluetooth Speaker project. Follow along to connect the wires to the Bluetooth module and speaker component neatly and safely.

Watch this tutorial on YouTube

What you will learn

  • How to check whether the soldering iron is hot enough
  • How to prepare the wires and soldering points
  • The correct sequence for heating the joint and applying solder
  • How to connect wires securely to the Bluetooth module and speaker
  • How to recognise a neat, reliable soldered connection

Safety reminder: Wear eye protection, keep the soldering iron in its stand when it is not in use, work in a well-ventilated area, and follow your teacher’s instructions at all times.

For more Design & Technology tutorials, visit the mrdanielsos YouTube channel.

Let me know in the comments below if you would like other or additional content.

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#Soldering #SolderingTutorial #Electronics #ElectronicsProjects #BluetoothSpeaker #BluetoothSpeakerProject #Year9 #Year9DesignTechnology #DesignAndTechnology #DTEducation #STEMEducation #MakerEducation #PracticalSkills #SchoolProjects #StudentProjects #Wiring #DIYElectronics #EngineeringEducation