Infrastructure, Action Plan and Evaluation
How the policy actually reaches schools: what is age-appropriate, what hardware is required, the three phases, and the four numbers success is measured by.
What is appropriate at what age
This tiered approach ensures AI exposure is relevant, meaningful and safe for each age and developmental stage, from preschool to post-secondary. It is aligned with the 2027 School Curriculum.p.66
Infrastructure requirements
The guide calls a solid technology foundation a prerequisite for successful AI literacy.
Hardware and softwarep.66
Schools are encouraged to provide laptops or tablets via computer labs, device trolleys or an orderly BYOD policy. All devices must use a modern web browser and security software kept up to date.
Internet access and cyber securityp.67
Compliance with the Cyber Security Policy and the Personal Data Protection Act 2010 is mandatory. Schools are encouraged to use CyberSecurity Malaysia materials through programmes such as CyberSAFE in Schools. An internal incident-reporting mechanism must be established; serious issues may be escalated to CSM or the MCMC.
The three-phase rollout
Running in parallel with the Malaysia Education Plan 2026–2035.
- 1
Foundation and Awareness
Years 1–2
Focus
Disseminating the guide, building basic training modules, identifying pilot schools, and running awareness programmes for all educators.
Outcome
Ensuring resource readiness and agility through teacher training; promoting access and equity via pilot schools and strengthening the digital education ecosystem.p.67
- 2
Integration and Enculturation
Years 3–4
Focus
Intermediate-level training on pedagogical integration, activating Professional Learning Communities to share best practice, and gathering teaching resources.
Outcome
Focus on quality — integrating AI into pedagogy and building capability through a best-practice culture; supports aligning curriculum with market reality.p.67
- 3
Innovation and Sustainability
Year 5 onwards
Focus
Advanced training to produce Master Trainers, running student AI innovation competitions, and conducting impact studies for continuous improvement.
Outcome
AI literacy becomes part of a sustainable school culture, driving the resilience of the AI education ecosystem and supporting the AI-Powered Classroom concept.p.67
How success gets measured
Four key performance indicators
- 1Percentage of educators completing AI literacy trainingp.69
- 2Number of AI-integrated teaching best-practice sharingsp.69
- 3Improvement in scores on student digital literacy and ethics surveysp.69
- 4Number of AI-based innovation projects producedp.69
Monitoring mechanisms p.69
- Periodic reports from schools and institutions
- Online or field surveys
- Engagement sessions
- Monitoring or support visits by District, State and Ministry officers
Realising the vision depends entirely on the collective commitment and action of all parties.p.69