CURRICULUM DEVELOPMENT CENTRE
APEC-Tsukuba International Conference XIV
Informatics and Data Science Education Reform for Digital, Inclusive and Sustainable Society (InMside II) Feb. 11-12, 2019 Tokyo, Japan
11 PILLARS OF IR4.0
► Simulation &Augmented Reality
► Horizon & Vertical
Integration
► Internet of Things ► Cybersecurity
► Artificial Intelligence ► New Business Models ► Cloud Computing ► Additive
Manufacturing
► Supply Chain ► Big Data Analytics ► Autonomous Robot
INDUSTRIAL REVOLUTION AND EDUCATION
Steam
Power Electricity Automation
Cyber-physical
Systems
Source: Dasar Industry4WRD, MITI
“Talent, not capital, will be the key factor linking
innovation, competitiveness and growth in the 21st
century”
(Human Capital Report - World Economic Forum 2015)
MOE | 2
B | 2
U N E S C O 2 0 1 9 B E I J I N G
C O N S E N S U S
A L I G N M E N T W I T H E X I S T I N G P O L I C I E S
Main Lines of
Action (MLA)
Activities and
Outcomes
§
AI in Education
Maturity
Assessment
§
AI in Education
Policy Guidelines
§
AI in Education: An
introduction
§
Training of
policy makers
Equitable & inclusive use of AI in
education to support SDG 4
§
Integrating AI skills
in school or
institution
curriculum
§
A repository of
AI training
courses
§
Training of trainers
§
Promoting youth’s
SDGs
challenge-based design of AI
§
Support
development of
local AI talent
§
International
debates: Mobile
Learning Week,
International
Conference on AI &
Education
§
Consensus and
partnerships
§
UNESCO ICT in
Education Prize
MLA1:
AI-Ready Policy
Makers
MLA2:
AI Skills
Development
MLA3:
AI Innovation in
Youth
MLA4:
Equitable & Safe
Use of AI in Education
Source: Leveraging Artificial Intelligence for Quality and Equitable Education,UNESCO Education Sector
VISION
MOE’S IR4.0 ACTION PLAN FRAMEWORK
NATIONAL
TRANSFORMATION
AGENDA
STRATEGIC THRUSTS
STRATEGIES
INITIATIVES
QUALITY EDUCATION DRIVEN BY IR4.0
Establishing a conducive and balanced national education system in producing knowledgeable, skilled, ethical and morally upright individuals towards excellence and competitiveness of the country.
Talent
Technology
Process
Strengthening Education Governance
System towards IR4.0
Enhancing Education 4.0 Ecosystem Developing Highly Skilled and Knowledgeable Talent for IR4.0 Enhancing Research and Innovation towards
IR4.0
Flexible Governance with Enabling Technology Readiness Assessment for
Education Institutions Learning and Teaching 4.0
Promotion and Awareness Campaign
Industry Collaboration
Strengthening the skills of Academic Staff and
Educator
Producing future-proof Students
Adopting Lifelong Learning program in IR4.0 International Collaboration Commercialization of Research Products Enculturation of Innovation MOE | 4 Development of infrastructure
and Info structure Sustainable and Efficient
Management on Incentives and Funding
OUTCOME
Effective And Efficient Governance SystemConducive Ecosystem as Enabler For Education
Development
Balanced Future-ready
Students will become more independent in their own learning, teachers role as facilitators.
Learning can be taken place
anytime anywhere.
Students have a choice in determining how they want to learn.
Students will be exposed to more project-based learning.
Students will be exposed to more hands-on learning through field experience such as internships, mentoring projects and collaborative projects.
Students will be exposed to data interpretation in which they are required to apply their theoretical knowledge to numbers and use their reasoning skills to make inferences based on logic and trends from given sets of data.
Students will be assessed differently and the conventional platforms to assess students may become irrelevant or insuficient.
Students’ opinion will be considered in designing and updating the curriculum.
N E W L E A R N I N G M O D E L
MOE | 5 Learning will be personalized to
individual students.
K S S R ( S E M A K A N 2 0 1 7 ) & K S S M I N I T I A T I V E
ICT Module for Primary School (Year 1-6)
Basic Computer Science (Asas Sains
Komputer) – Lower Secondary (Form 1-3)
Invention (Reka Cipta) - Upper secondary
(Form 4-5)
Design & Technology – Stage 2 Primary
School & Lower Secondary (Form 1-3)
Computer Science – Upper secondary (Form 4-5)
Beginning 2017,
MOE introduces
Coding
,
Computational
Thinking
and
Robotics
into the
curriculum.
MOE | 6
DA
TA
SC
IEN
CE
MA
CH
INE
LEA
RN
ING
/AI
PROGRAMMING/CODING
Statistical
thinking
Computational
thinking
SUBJECTS
STAT ISTICS DATA CODI NG SU PER VISE D UN SU PERV ISEDBLOCK PROGRAMMING SYNTAX SCRIPTING
ALG ORI
THM
NEW KNOWLEDGE AND SKILL SET IN IR4.0 CURRICULUM
MOE | 7
C U R R I C U L U M F R A M E W O R K
SUBJECT
IR4.0 SKILL
SET
DATA SCIENCE
MACHINE LEARNING/AI
PROGRAMMING
STATISTICS DATA CODING SUPERVISED UNSUPERVISED ALGORITHM BLOCK SYNTAX SCRIPTING
C O M P U T A T I O N A L T H I N K I N G ACROSS CURRICULA ELEMENTS
IR4.0
PILLARS
Simulation & Augmented Reality Autonomous Robotic Data Analytics
Cyber security Cloud AI 3D Printing
IoT Vertical & Horizontal Integration
Abstraction Pattern Recognition Decomposition Generalization
Algorithm Evaluation
S T A T I S T I C A L T H I N K I N G
LEARNING
Students will be exposed to data interpretation Freedom to chooseNew assessment model
hands-on learning through internships & projects Learning anytime anywhere
Personalized learning Independent learner
MOE | 8
CURRICULUM DEVELOPMENT CENTRE