MTEP · 数字科技创业提案 · DIGITAL TECHNOLOGY VENTURE PROPOSALAI编程 · AI CODING / 学习证据 · LEARNING EVIDENCE
青少年 AI 编程与学习产品 · AI CODING & LEARNING PRODUCT

让孩子学会编程，也学会判断 AI

Help children code and think critically about AI

{ AI + CODE + EVIDENCE }
不只看最后的作品，更看孩子怎样想、怎样试、怎样把错误改好
See more than the final project: how a child thinks, tests and fixes mistakes
学习证据
LEARNING EVIDENCE
定义问题
DEFINE PROBLEM
使用AI
USE AI
测试与修复
TEST & DEBUG
解释结果
EXPLAIN RESULT
从马来西亚双溪大年开始 · STARTING IN SUNGAI PETANI, MALAYSIA · 2026
01 / 20
FOUNDER · 创始人能力 · FOUNDER CAPABILITYVFX → PROCEDURAL THINKING → AI LEARNING PRODUCT

18年特效经验，教孩子拆问题、找错误

18 years in VFX, now teaching children to solve and debug

肖翔
XIAO XIANG
创始人 · 动画特效师
AI学习产品与课程设计
FOUNDER · VFX ARTIST
AI LEARNING PRODUCT & CURRICULUM DESIGN
18
年动画特效行业经验
YEARS IN VFX PRODUCTION
01 / DECOMPOSE
复杂问题拆解
PROBLEM DECOMPOSITION

一个特效镜头做不出来，就拆成小步骤，找出哪一步出了问题。

When a VFX shot fails, break it into smaller steps and find the one that went wrong.

02 / DEBUG
测试、调试与迭代
TEST, DEBUG & ITERATE

把“先测试、再修改、再比较”的工作习惯带进编程课堂。

Bring the habit of testing, revising and comparing versions into coding lessons.

03 / VISUALISE
让抽象代码变得可见
MAKE ABSTRACT CODE VISIBLE

用角色、游戏和互动结果连接兴趣与计算思维。

Connect engagement and computational thinking through characters, games and interaction.

04 / PRODUCTISE
把经验沉淀为产品
TURN EXPERIENCE INTO PRODUCT

主导课程体系、教学流程与Scratch/Python系统原型构建。

Lead curriculum, teaching workflows and Scratch/Python system prototyping.

我不是 AI 算法研究员；我的优势是把真实技术项目里的拆解、测试和创作，变成孩子能做的课程。
I am not an AI algorithm researcher. I turn real-world problem solving, testing and creation into lessons children can practise.
01 · 问题定义 · PROBLEM DEFINITIONAI ACCESS ≠ VERIFIED LEARNING

AI能给答案，孩子真的懂了吗？

AI gives answers. Do children understand them?

01 / UNDERSTANDING
会使用AI，不等于理解AI
Using AI does not prove understanding

孩子可能复制了 AI 的代码，却说不出它为什么能运行。

A child may copy AI-generated code without knowing why it works.

>_
02 / EVIDENCE
最终作品，不等于学习过程
A final product is not the learning process

一张作品图，看不出孩子试过什么、哪里出错、又怎样改好。

A finished project does not show what the child tried, where it failed or how it was fixed.

[ ]
03 / SCALE
好课程，不一定能够稳定复制
A good course may still fail to scale consistently

换一位老师上课，家长也应该得到一样清楚的任务与反馈。

Even with a different teacher, families should receive clear tasks and feedback.

↗
这些想法还要靠双溪大年家长访谈、试听与正式报名来检验。
We will test these assumptions through Sungai Petani parent conversations, trial classes and real enrolment.
不是增加一门AI工具课 · NOT ANOTHER AI TOOL CLASS
02 / 20
02 · 产品定义 · PRODUCT DEFINITIONCURRICULUM × DATA × WORKFLOW

让孩子的学习过程四方都看得见

Make each child’s learning visible to everyone

AI 编程学习记录系统
AI CODING LEARNING RECORD SYSTEM
学生
LEARNERS

知道今天做什么，自己测试、找错、说清楚

Know the task, test it, fix mistakes and explain

教师
TEACHERS

看到孩子卡在哪里，决定下一步怎么教

See where a child is stuck and plan the next step

家长
FAMILIES

看见作品怎么改进，而不只听“今天上了课”

See how work improved, not just hear “we had class”

合作机构
EDUCATION PARTNERS

看课程能否由不同老师稳定地上好

See whether different teachers can deliver consistently

小班课先服务真实孩子；系统把有效的教法和学习过程留下来。
Small classes serve real children first; the system keeps what works in teaching and learning.
03 / 20
PRODUCT PROOF · Scratch AI课程优化 · AI LESSON OPTIMISATIONREAL SYSTEM · TEACHER APPROVAL

Scratch：AI帮助老师把固定课件变成持续优化的课程

Scratch: AI turns fixed lessons into a continuously improving course

Real Scratch AI lesson optimisation interface真实系统 · REAL SYSTEM
已有 · EXISTS
老师选择课程与需要优化的内容
Teacher selects the lesson and target content

AI围绕真实教学目标工作，而不是脱离课程自由生成。

已有 · EXISTS
AI补充解释、互动和分层练习
AI adds explanations, interaction and differentiated practice

老师先查看建议，确认方向后才投入课堂使用。

扩展中 · EXPANDING
主动发现知识断点与常见卡点
Spot knowledge gaps and recurring learning barriers

让课程根据真实课堂反馈继续调整，而不是长期停留在同一版本。

PRODUCT PROOF · Python AI学习辅助 · AI LEARNING SUPPORTCODE → HINT → TEST → EXPLAIN

Python：遇到问题时，先让AI引导学生自己解决

Python: when problems appear, AI guides students to solve them

Real Python AI code explanation interface真实系统 · REAL SYSTEM
已有 · EXISTS
代码解析、逐步执行与找Bug
Code explanation, step execution and debugging

把报错变成线索，帮助学生看懂程序为什么失败。

已有 · EXISTS
老师筛选解释并推送给学生
Teacher reviews and sends guidance to students

AI先扩展知识，老师确认正确方向和课堂节奏。

验证中 · VALIDATING
根据学生问题追加提示与练习
Adapt hints and practice to each learner’s problem

学生先尝试、测试和说明；复杂问题再交给老师判断。

03 · AI学习演进 · AI LEARNING EVOLUTIONASSISTED TODAY · MORE AUTONOMOUS TOMORROW

让课程从固定内容，变成持续回应学生的系统

Turn fixed lessons into a system that keeps responding to each learner

现在 · TODAY
AI增强老师
AI AUGMENTS THE TEACHER
  • 优化解释、案例和练习
  • 发现潜在错误与知识断点
  • 老师确认后用于课堂
→
验证中 · VALIDATING
AI回应学生问题
AI RESPONDS TO LEARNERS
  • 理解当前课程与学生问题
  • 追加提示、例子和练习
  • 学生测试、修改并解释
→
下一阶段 · NEXT
条件式自主学习
CONDITIONAL AUTONOMY
  • 常见问题由AI持续引导
  • 按学习情况调整路径
  • 复杂与高风险问题交给老师
现阶段：AI提出建议，老师决定正确方向
TODAY: AI suggests; teachers confirm direction
长期：在经过验证的课程边界内减少重复人工介入
LONG TERM: reduce routine intervention inside verified boundaries
04 / 20
04 · 产品架构 · PRODUCT ARCHITECTURECONTENT → WORKFLOW → AI → EVIDENCE

把课程、课堂、AI和孩子的修改记录连起来

Connect lessons, classroom work, AI and student revisions

内容层CONTENT
双语课程
Bilingual curriculum项目任务
Project tasks评价量表
Rubrics教师与家长模板
Teacher & family templates
教学产品层LEARNING PRODUCT
教师工作流
Teacher workflow投屏与课堂
Presentation & class学生练习
Learner practice作业与考试
Assignments & exams
AI能力层AI CAPABILITY
代码与错误分析
Code & error analysis过程摘要
Process summary分层建议
Differentiated support机构分析
Institution analytics
数据证据层EVIDENCE DATA
项目版本
Project versionsBug与修复
Bugs & fixes测试案例
Test casesAI使用与学生解释
AI use & explanation
只收教学真正需要的资料；家长知道用途，也能提出查看或删除要求。
Collect only what teaching needs; parents know how it is used and can request access or deletion.
05 / 20
TECH · 技术实现路径 · IMPLEMENTATION PATHRULES FIRST · AI ASSISTS · HUMAN DECIDES

孩子先试，系统再检查，老师最后判断

Students try first; software checks; teachers decide

01 / INPUT
结构化学习输入
STRUCTURED LEARNING INPUTS
  • 任务目标 / Task objective
  • 学生代码与版本 / Code and versions
  • 测试结果与Bug / Tests and bugs
  • 学生解释 / Learner explanation
→
02 / PROCESS
规则检查＋AI辅助
RULE CHECKS + AI ASSISTANCE
  • 提交与运行状态检查 / Submission and runtime checks
  • 代码解释与错误归类 / Code explanation and error grouping
  • 还缺哪一步 / What is missing
  • 下一步练习 / Next practice task
→
03 / OUTPUT
家长和老师看得懂的结果
RESULTS TEACHERS AND PARENTS CAN USE
  • 学生学习记录 / Learner record
  • 教师复核界面 / Teacher review
  • 家长阶段报告 / Family report
  • 机构交付分析 / Delivery analytics
已有：课程、端口、代码解析原型
EXISTS: curriculum, portals, code analyser
验证中：证据结构与教师流程
VALIDATING: evidence structure and workflow
05 · 学习闭环 · LEARNING CYCLEHUMAN-LED · AI-ASSISTED

可以问AI，但不能省掉自己的思考

Ask AI, but do your own thinking

01
定义问题
DEFINE
02
独立方案
PLAN
03
请求AI建议
ASK AI
04
阅读与测试
READ & TEST
05
修改与解释
REVISE & EXPLAIN
示例：角色持续碰到金币后重复计分 → 学生设计测试 → 增加“已收集”状态 → 复测并解释。
Example: repeated scoring during continuous collision → learner designs tests → adds a “collected” state → retests and explains.
最后不是只看游戏跑起来没有，而是看孩子能不能解释为什么这样改。
Do not stop at “the game works”; ask the child to explain why the fix works.
06 / 20
06 · 课程与产业路径 · LEARNING & INDUSTRY PATHUSE TOOLS → BUILD WITH AI

Scratch打基础，Python与AI协作，Cocos进入真实产品开发

Scratch builds logic, Python works with AI, and Cocos enters product development

Scratch7–10+
看见游戏逻辑
SEE GAME LOGIC

用事件、循环、条件、坐标和碰撞理解程序规则。

Understand program rules through events, loops, conditions, coordinates and collision.

产出：可以操作、测试和解释的小游戏。
OUTPUT: a small game learners can operate, test and explain.
Python + AI10–14+
编写与调试逻辑
WRITE & DEBUG LOGIC

进入文字代码、函数、数据、API和AI辅助编程。

Move into text code, functions, data, APIs and AI-assisted programming.

产出：能运行、能测试、能说明修改原因的程序。
OUTPUT: runnable, testable programs with explained revisions.
Cocos Creator12–16+
开发互动产品
BUILD INTERACTIVE PRODUCTS

将逻辑迁移到TypeScript，整合场景、组件、UI、动画、AI接口和发布。

Transfer logic into TypeScript and integrate scenes, components, UI, animation, AI services and release.

产出：游戏、教育软件与AI驱动互动体验。
OUTPUT: games, learning software and AI-powered experiences.
生图和视频是AI应用入口；长期价值是会用AI写代码、调试系统并开发自己的产品。
Image and video generation are entry points; long-term value comes from coding, debugging and building products with AI.
07 / 20
07 · 学习结果 · LEARNING OUTCOMESACTIVITY → CAPABILITY → CONNECTION → EVIDENCE

不保证提高IQ，看孩子怎么解决问题

No IQ promise. Show how children solve problems.

学习活动
ACTIVITY
目标能力
CAPABILITY
跨学科连接
CROSS-SUBJECT LINK
可观察证据
OBSERVABLE EVIDENCE
拆解规则与步骤
Decompose rules and steps
问题分解
Problem decomposition
数学应用题、实验步骤、写作结构
Math problems, experiments, writing structure
流程图、任务清单、代码结构
Flowcharts, task lists, code structure
追踪变量与条件
Trace variables and conditions
因果推理
Causal reasoning
判断条件变化后的结果
Predict outcomes after condition changes
预测与测试结果对照
Prediction versus test results
定位并修复Bug
Locate and repair bugs
自己检查哪里错了
Find and check their own mistakes
找到具体出错步骤，而非只说“不会”
Identify the failing step instead of saying “I cannot”
错误分类、假设、修复说明
Error category, hypothesis and repair note
讲解作品与选择
Explain work and choices
结构化表达
Structured communication
说清楚自己怎样得出答案
Explain how they reached an answer
演示、讲解与版本比较
Demo, explanation and version comparison
08 / 20
08 · 学习兴趣 · LEARNER ENGAGEMENTMEASURED BY BEHAVIOUR

兴趣来自自己做出来、改得更好

Interest grows when children build and improve

主题选择
CHOICE
即时反馈
FEEDBACK
合理难度
RIGHT CHALLENGE
真实展示
SHOWCASE
版本进步
VISIBLE PROGRESS
看孩子会不会继续来、主动改作品，家长愿不愿意续课。
Look at attendance, voluntary revisions, and whether families want to continue.
09 / 20
MARKET · 市场规模与产业信号 · MARKET SCALE & SIGNALSMALAYSIA · DIGITAL CONTENT · AI TALENT

产业趋势给方向，本地家庭给答案

Industry trends show direction; local families decide

RM5.31B
MALAYSIA DIGITAL CONTENT · 2021
数字内容产业收入
DIGITAL CONTENT REVENUE

动画、游戏、互动媒体和创意技术构成真实的相邻产业基础。

10,154
JOBS CREATED · 2021
数字内容相关岗位
DIGITAL CONTENT JOBS

行业需要同时理解创意、软件、技术流程和团队协作的人才。

8,328
AI-RELATED PROJECTED JOBS · Q3 2025
AI相关预计岗位
AI-RELATED PROJECTED JOBS

AI投资进一步提高了代码、数据和应用能力的重要性。

这些数字说明数字行业值得关注，却不能证明双溪大年有多少家庭会报名。第一年要看真实试听、付费和续课。
These figures show industry direction, not how many Sungai Petani families will enrol. Year one depends on real trials, payment and continuation.
POSITIONING · 竞争分析 · COMPETITIVE LANDSCAPECATEGORY COMPARISON · NO UNSUPPORTED BRAND CLAIMS

我们的不同：记录孩子怎样试、错、改

Our difference: show how children test, fail and fix

传统编程培训
CODING CENTRES
STRENGTH

课程成熟、家长认知较高。

Established curriculum and parent familiarity.

OUR DIFFERENCE

记录测试、Bug、修改和学生解释。

Capture tests, bugs, revisions and explanation.

机器人课程
ROBOTICS
STRENGTH

实物反馈强、展示直观。

Tangible feedback and visible demos.

OUR DIFFERENCE

首年先验证代码与AI基础，减少硬件变量。

Validate code and AI foundations before hardware.

在线AI平台
ONLINE AI TOOLS
STRENGTH

获取方便、扩展速度快。

Accessible and rapidly scalable.

OUR DIFFERENCE

双语课程、本地课堂与教师最终判断。

Bilingual curriculum, local class and teacher judgement.

普通补习课程
TUITION CLASSES
STRENGTH

目标明确、付费习惯成熟。

Clear goals and familiar payment model.

OUR DIFFERENCE

用互动产品连接学科、创造和AI素养。

Connect subjects, creation and AI literacy through products.

09 · 市场验证 · MARKET VALIDATIONSUNGAI PETANI · CONTROLLED BASE

从双溪大年开始，听懂本地家庭

Start in Sungai Petani and listen to local families

低固定成本
紧密家庭反馈
可控试点范围
LOWER FIXED COST
CLOSE FAMILY FEEDBACK
CONTROLLED PILOT SCOPE
Q1
家庭访谈与合规确认
FAMILY INTERVIEWS & COMPLIANCE

理解家庭如何认识AI编程与学习证据。

Q2
两个小班与基线任务
TWO SMALL CLASSES & BASELINE TASKS

验证年龄、难度、价格与试听转化。

Q3
项目展示与机构体验
PROJECT SHOWCASE & INSTITUTION EXPERIENCE

验证学习证据能否建立信任。

Q4
建立五个稳定班
BUILD FIVE STABLE CLASSES

验证留存、核心受众与交付稳定性。

先让第一批孩子真正完成项目，听清家长为什么报名或犹豫，再决定是否扩大。
Help the first students finish real projects, learn why parents join or hesitate, and then decide whether to expand.
10 / 20
10 · 商业化 · COMMERCIALISATIONREVENUE FOUNDATION → PRODUCT SCALE

先靠小班学费，再测试机构服务

Start with tuition; test partner services later

01
家长支付的小班学费
SMALL-GROUP TUITION
02
学校或机构的课程与教师支持
COURSES AND TEACHER SUPPORT FOR PARTNERS
03
课程系统支持合作方上课
SOFTWARE SUPPORT FOR PARTNER CLASSES
04
区域内容与评价授权
REGIONAL CONTENT & ASSESSMENT LICENSING
RM260／学生／月 · 5节课 · 每节1.5小时
RM260 / LEARNER / MONTH · 5 LESSONS · 1.5 HOURS EACH
RM234,000
三年累计毛学费收入
THREE-YEAR GROSS TUITION REVENUE
RM62,400
第一年 · 20人
YEAR 1 · 20
RM78,000
第二年 · 25人
YEAR 2 · 25
RM93,600
第三年 · 30人
YEAR 3 · 30
RM234,000是毛学费收入，不是净利润或ROI。
RM234,000 is gross tuition revenue—not net profit or ROI.
11 / 20
FINANCE · 三年财务模型 · THREE-YEAR FINANCIAL MODELREVENUE · COST CEILING · BREAK-EVEN

RM234,000是学费估算，不是利润

RM234,000 is projected tuition, not profit

指标 / METRIC
Y1
Y2
Y3
稳定学生
ACTIVE LEARNERS
20
25
30
月学费收入
MONTHLY TUITION
RM5,200
RM6,500
RM7,800
年度毛收入
ANNUAL GROSS
RM62,400
RM78,000
RM93,600
盈亏平衡成本上限／月
BREAK-EVEN COST CEILING / MONTH
RM5,200
RM6,500
RM7,800
机构产品收入
INSTITUTION REVENUE
未计入
验证后
验证后
判断
DECISION
控制成本
验证交付
验证复制
盈亏平衡公式
BREAK-EVEN FORMULA
每月固定支出 ÷
(RM260 − 每名学生增加的成本)

实际场租、人员、设备、软件、市场、合规与税务报价确认后，才能计算净利润与现金缺口。

模型结论
MODEL CONCLUSION

五个班最多30人。第一年先把课程和家长反馈做稳；以后要扩大，必须让其他老师也能教好。

Five classes hold at most 30 students. Year one is about getting lessons and parent feedback right; growth later requires other teachers to deliver well.

CAPITAL · 资金使用与现金门槛 · USE OF FUNDS & CASH GATESWORKING ALLOCATION · UPDATE WITH QUOTATIONS

钱先花在真正能验证的地方

Spend first on what we can actually test

产品与AI模块
PRODUCT & AI
35%
试点与用户研究
PILOT & RESEARCH
25%
设备与数字内容
EQUIPMENT & CONTENT
20%
运营与合规
OPERATIONS & COMPLIANCE
10%
现金缓冲
CASH BUFFER
10%
以上为规划比例，不是已发生支出；总预算将在场地、设备、人员和合规报价确认后锁定。
These are planning ratios, not incurred costs. The budget is locked only after premises, equipment, staffing and compliance quotations.
11 · 三年里程碑 · THREE-YEAR MILESTONESPROVE → DELIVER → REPLICATE

第一年开门，第二年练团队，第三年再扩大

Year one: start locally. Year two: train teachers. Year three: expand.

Y1
让家长认识并愿意尝试
HELP FAMILIES UNDERSTAND AND TRY
  • 家庭与机构需求验证 / Family and institution validation
  • 学习证据结构 / Learning-evidence structure
  • AI记录首个版本 / First AI-recording version
Y2
让其他老师也能上好
HELP OTHER TEACHERS DELIVER WELL
  • 双语课程与量表 / Bilingual curriculum and rubrics
  • 教师培训与机构账户 / Teacher training and accounts
  • 非创始人交付 / Non-founder delivery
Y3
再到其他地点测试
TEST IN OTHER LOCATIONS
  • 外地机构测试 / Cross-location institution trials
  • 多机构管理 / Multi-institution management
  • 验证软件计费 / Validate software pricing
12 / 20
12 · 合作诉求 · PARTNERSHIP ASKPATH · VALIDATION · ECOSYSTEM

先一起做一个小而清楚的试点

Let’s run one small, clearly defined pilot

01
项目路径确认
VENTURE PATH CLARIFICATION
  • 数字产品主张 / Digital product proposition
  • 产品、市场与团队证据 / Product, market and team evidence
  • 公司与试点安排 / Company and pilot arrangement
02
产品与市场验证
PRODUCT & MARKET VALIDATION
  • 家庭与教育社群 / Family and education communities
  • 阶段性演示与反馈 / Staged demos and feedback
  • 机构采用标准 / Institution adoption criteria
03
创业落地支持
VENTURE LANDING SUPPORT
  • 地点、租赁与文件 / Location, tenancy and documents
  • 创业与技术人才连接 / Venture and talent connections
  • 马来西亚创新生态 / Malaysian innovation ecosystem
先说清人数、课时、双方负责什么，以及最后交什么结果，再决定是否深入合作。
Agree on participants, lesson hours, responsibilities and outputs before discussing a deeper partnership.
13 / 20
13 · 共同价值 · SHARED VALUELEARNER · FAMILY · PARTNER · VENTURE

孩子有作品，家长看过程，伙伴看结果

Student work, parent clarity and partner results

学生：从消费者变成创造者
LEARNERS: FROM CONSUMERS TO CREATORS

孩子能做出作品，也能讲清楚 Bug 是怎样找到和改好的。

Children build projects and explain how they found and fixed a bug.

家长：看见投入产生的变化
FAMILIES: SEE WHAT THE INVESTMENT CHANGES

家长能看到孩子卡在哪里、怎样进步、下一步练什么。

Parents see where the child struggled, improved and what comes next.

机构：获得可复制的交付系统
PARTNERS: GAIN A REPEATABLE DELIVERY SYSTEM

合作方拿到明确的试点人数、作品、家长反馈和总结。

Partners receive clear participant numbers, student work, parent feedback and a pilot summary.

项目：形成可持续教育科技事业
VENTURE: BUILD A SUSTAINABLE EDTECH BUSINESS

沉淀课程知识产权、产品能力、合作网络与长期收入。

Build curriculum IP, product capability, partner networks and recurring value.

商业回报必须建立在真实学习结果与合规运营之上。
Commercial value must rest on real learning evidence and compliant operations.
14 / 20
A1 · 产品状态 · PRODUCT STATUSEXISTING ≠ PLANNED

已有的现场演示；没做完的清楚说明

Show what works; label what comes next

已经具备
CURRENT FOUNDATION

  • 双语课程资产 / Bilingual curriculum assets
  • Python本地教学系统 / Local Python teaching system
  • Scratch本地教学系统 / Local Scratch teaching system
  • 教师、投屏、学生、作业、考试与进度流程 / Teacher, presentation, learner, assignment, exam and progress flows
→

下一阶段
NEXT-STAGE PRODUCT

  • AI学习过程记录 / AI learning-process records
  • 学习诊断与家长报告 / Diagnosis and family reporting
  • 机构账户与教师培训 / Institution accounts and teacher training
  • 公开部署与多机构分析 / Public deployment and multi-institution analytics
15 / 20
A2 · 进阶方向 · ADVANCED PATHSAGE · INDUSTRY · OUTCOME

低龄先学代码，进阶再选3D与特效

Coding first; 3D and VFX for advanced learners

Spline
15+
互动3D与网页体验
INTERACTIVE 3D & WEB EXPERIENCES

15岁以上可用它做互动3D作品、网页展示和作品集。

Students aged 15+ can build interactive 3D work, web demos and a portfolio.

进阶 · ADVANCED
Houdini · C4D · JangaFX
15+ / ADULT
程序化特效与数字内容管线
PROCEDURAL VFX & DIGITAL CONTENT PIPELINE

适合高龄学生和成人，练真实特效项目中的节点、物理和作品交付。

For older learners and adults: practise nodes, physics and finished VFX work.

专业 · PROFESSIONAL
Robotics
LATER
暂不作为首年主线
NOT A YEAR-ONE CORE PATH

机器人仍以代码、控制和系统整合为基础；首年先减少硬件与场地变量。

Robotics still depends on code, control and system integration; year one limits hardware and premises variables.

后续评估 · LATER REVIEW
16 / 20
A3 · 合规边界 · COMPLIANCE BOUNDARYTWO SEPARATE TRACKS

MTEP不等于课程认证或办学执照

MTEP does not approve a course or licence a centre

TRACK 01 / VENTURE
科技创业与准证路径
TECH VENTURE & PASS PATHWAY
  • 数字产品主张 / Digital product proposition
  • 申请类别与材料 / Application category and evidence
  • 认可支持地点与安排 / Recognised support location and arrangements
  • 正式申请前书面确认 / Written confirmation before submission
TRACK 02 / EDUCATION
教育运营与儿童保护路径
EDUCATION OPERATIONS & CHILD SAFEGUARDING
  • 教育中心分类与注册 / Centre classification and registration
  • 经营主体、场地与教师 / Entity, premises and teachers
  • 家长同意与数据最小化 / Parental consent and data minimisation
  • 图片、作品、AI数据与删除 / Images, work, AI data and deletion
科技创业申请和正式开课是两回事；场地、公司、儿童安全及学生数据手续要分别确认。
A tech-venture application is separate from running classes. Premises, company, child-safety and student-data requirements need their own checks.
17 / 20
A4 · 产业连接 · INDUSTRY CONNECTIONAI + CODE + DIGITAL CONTENT

不只生成内容，更要把AI接进游戏与软件

Beyond generated content: integrate AI into games and software

逻辑 → 代码
系统 → 产品
LOGIC → CODE
SYSTEM → PRODUCT
游戏开发 · GAME DEVELOPMENT
AI辅助代码、调试、角色行为、测试和内容流程。
AI assists code, debugging, character behaviour, testing and content pipelines.
互动软件 · INTERACTIVE SOFTWARE
把AI接入教育应用、模拟器、XR与实时互动体验。
Integrate AI into learning apps, simulations, XR and real-time experiences.
产品开发 · PRODUCT BUILDING
从调用现成工具，走向设计界面、数据、逻辑和用户体验。
Move from using tools to designing interfaces, data, logic and user experience.
跨平台 · CROSS-PLATFORM
用Cocos Creator理解2D/3D实时内容与跨平台发布。
Use Cocos Creator to understand 2D/3D real-time content and cross-platform release.
先在双溪大年打开市场，再把验证有效的课程、证据与流程带向更多机构。
Open the market in Sungai Petani, then bring validated curriculum, evidence and workflows to more partners.
18 / 20