Maker Academy Class · For Beginners

neo-Explorers

A 20-week learning adventure where beginners discover technology, the world, and ideas — and, more importantly, discover how they learn. No experience needed. Just curiosity.

10–12 yrsPrimary level
13–16 yrsSecondary level
20students per class
Noneprerequisites required
How the Class Works

Teacher-led, hands-on, in-person

Class Mode

In-person learning at our centre in Bukit Mertajam — hands-on with real tools and real materials.

Teaching Mode

The teacher directs instruction to enable students to develop all the expected learning habits.

Learning Mode

Students complete lessons and tasks in each class, work in groups, and take on specific roles and responsibilities.

🌏 Real Field Work

Students participate in actual field work — interviewing real people and gathering real-world insights for their projects.

🎤 Public Speaking

Students practise presenting their ideas and inventions, building the confidence to speak in front of an audience.

Inside a Lesson

What 75 minutes of real learning looks like

Every neo-Explorers lesson follows a deliberate rhythm — designed so that no student is left behind, and no minute is passive. There is no lecturing: every concept is checked before the class moves on.

Teachers circulate with questions, not answers — "What is your if condition checking?" — because the goal is a student who can think, not one who was told.
Minutes 1–5 · Recap with purpose

Reconnect, don't re-teach

The lesson opens with an incomplete example from last week. Students supply the missing piece — retrieving knowledge instead of hearing it again.

Minutes 5–20 · The hook

A question worth caring about

Each concept arrives inside the programme's unfolding story, framed as a real problem — not a textbook heading.

Minutes 20–50 · Guided practice

Build together, check constantly

The teacher builds live on the projector; students follow on their own devices. Before each step, a quick check for understanding — thumbs, cold call, or "restate it in your own words."

Minutes 50–65 · Independent practice

Now you try — with coaching

Students attempt the challenge alone while the teacher circulates with targeted prompts. Struggle is expected; it's where the learning happens.

Minutes 65–75 · Reflection

Name what you learned

Every lesson closes with structured reflection — like "3 things you learned, 2 states a button can be in, 1 reason we use variables." Learning sticks when students put it into words.

Moments From Our Lesson Plans

The moments that change how a child learns

Drawn straight from the neo-Explorers curriculum — these are the experiences your child will work through.

Week 1 · Questioning & AI

Learning to command AI, not consume it

Students ask an AI a vague question and get a vague answer. Then they refine it and watch the answer transform. By the end of the first lesson they've written five different prompts to steer AI towards an answer they chose — using AI as a thinking partner while keeping intellectual control.

Weeks 3–4 · Community Research

Interviewing real people, not worksheets

Before the field trip, students run mock interviews in trios — interviewer, community member, and an observer with a checklist. They learn to open with purpose, ask open questions, and wait for the full answer without leading. Then they do it for real, with real neighbours and real problems.

Week 9 · First Code

"I told it to do something — and it did."

Boolean logic starts as a physical game: stand for True, sit for False. Then three lines of code make a light blink — and then the toggle challenge: make an LED stay on after one press and turn off on the next. Cracking it requires genuinely understanding how a program remembers state.

The Story

A 20-week adventure, not 20 disconnected classes

The whole programme is wrapped in an unfolding narrative: students arrive as a curious tribe in an unfamiliar world and must build something that solves a real problem for a real community — culminating in a public Exhibition Day where they present to visitors, parents, and each other. The story isn't decoration; it's the thread that makes every skill matter.

The Habits

The learning habits we deliberately train

  • Diverge before you converge — generate many ideas, then choose with explicit criteria.
  • Ask "why" until it's uncomfortable — root causes, not surface answers.
  • Read your work like a stranger — what it actually says, not what you meant.
  • Change one thing at a time — the discipline of debugging.
  • Explain it, or it doesn't exist — ideas must survive leaving your head.
How We Assess

We grade thinking, not just output

Our rubrics don't just ask "does it work?" They measure the quality of a child's thinking and communication — the skills that outlast any single technology.

In one research lesson alone, students are assessed on four dimensions: the range and variety of the questions they generate, whether they can justify which questions they selected and why others were excluded, their interview structure and etiquette, and their listening discipline — waiting for full answers without interrupting or leading.

Points in class are awarded for curiosity, effort, helpfulness and quality thinking — signalling to every student that the journey is being observed, not just the final product.

Every child can access the work

Sentence frames, word banks and structured prompts stay visible on the board — so students still developing their English work on the same rich tasks as everyone else.

Fast finishers get stretched

Extensions are cognitive, not busywork: "Can you come up with a question that 5W1H cannot answer?"

Rotating team roles

Speaker, toolkeeper, historian, scout — roles rotate so over 20 weeks every child leads, documents, builds and presents.

Curriculum Outline

The neo-Explorer journey in 4 phases

Research & Artificial Intelligence

Students learn how to think critically and use modern tools effectively.

  • Mastering AI: understanding what AI is, how to use it responsibly, and how to write effective prompts to get the best results.
  • Critical thinking: asking the right questions, developing hypotheses, and documenting work neatly — individually and in teams.
  • Information literacy: searching for trustworthy information and identifying the root causes of problems.

Community & Problem Solving

Students move from theory to the real world to understand the people they are designing for.

  • Field research: socialising and preparing to interview people to gather real-world insights.
  • Data analysis: creating surveys and analysing data to define a specific problem statement to solve.
  • Ideation: brainstorming technology-based solutions and learning to give and receive constructive feedback.

Electronics & Coding Foundations

Students gain the technical skills needed to bring their ideas to life.

  • Electronics: exploring the "component universe" — sensors (inputs) and lights or motors (outputs).
  • Computer science: the logic of coding — flowcharts, variables, loops, and if-then logic.
  • Hardware integration: physically connecting electronic components and using professional coding platforms.

Engineering & Project Launch

The final phase focuses on building a functional prototype and presenting the result.

  • Rapid prototyping: building physical models with available materials, working within resource limits.
  • Project management: planning a project, delegating tasks within a team, and tracking progress.
  • Communication: creating project visuals and practising public speaking to present their final inventions.
Coding

Every neo-Explorer learns to code

Students learn the coding language that fits their level — designed to build computational thinking through hands-on making rather than long hours of screen time.

LevelCoding LanguagePlatformWhy it works
Primary Block Coding MakeCode micro:bit An intuitive language that focuses students on logic and algorithms without the challenge of syntax debugging — a "low floor, high ceiling" that lets them learn by doing.
Secondary Python CircuitPython Python built for physical computing. Students get the best of both worlds: Python for data science & AI, plus a robotics ecosystem with physical computing capabilities.
Schedule

Weekly class times

ClassDayTime
neo-Explorers ATuesday4:00 – 5:30 pm
neo-Explorers BSaturday10:00 am – 12:00 pm
neo-Explorers CSunday10:00 am – 12:00 pm

20 weekly sessions. Breaks for school holidays and public holidays are observed. Contact us for the next intake dates.

Fees

What it costs

Is neo-Explorers right for your child?

Message us on WhatsApp — we'll help you figure out the right class and share the next intake dates.

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