Will AI replace teachers in the classroom?

No. This training explicitly positions AI as augmentation for educators, not replacement. AI handles repetitive tasks (grading, admin, basic Q&A) so teachers can focus on high-value work: Socratic dialogue, mentorship, creative project guidance, and emotional support. The best learning outcomes come from AI + human teacher collaboration. We address this concern directly in Module 1 and throughout the programme.

How does this training address MOE requirements and compliance?

We align all AI use cases with MOE learning outcome frameworks (Singapore's 21CC, Thailand's Basic Education Core Curriculum, Philippines' K-12 standards). Module 5 covers automated MOE reporting, accreditation documentation, and learning analytics dashboards that map to official competency frameworks. We also address student data privacy under PDPA and FERPA requirements for international schools.

What if our institution doesn't have a modern LMS or student data systems?

The training works with both legacy and modern systems. If you're using basic tools (Google Classroom, spreadsheets, email), we'll show you entry-level AI applications (chatbots, simple grading automation, free analytics tools). If you have advanced LMS/SIS platforms (Canvas, Blackboard, Workday Student), we'll cover deeper integrations. During Discovery, we'll assess your current tech stack and tailor content accordingly.

How do we handle academic integrity when students have access to AI?

Module 6 covers comprehensive academic integrity frameworks for the AI era. You'll learn to: (1) Design AI-aware assessments (oral exams, live demonstrations, process-focused grading), (2) Establish clear AI use policies (when AI is allowed as a tool vs. prohibited as cheating), (3) Detect AI-generated work when necessary, and (4) Teach students responsible AI use as a 21st-century skill. The goal is not to ban AI but to integrate it ethically into pedagogy.

Is this training relevant for both K-12 and higher education?

Yes, we customize content for your education level. K-12 schools focus more on engagement analytics, parent communication, and differentiated learning. Higher ed institutions emphasise adaptive assessments, research support, enrollment management, and career services. Polytechnics and vocational schools get industry-aligned content (AI for technical skill assessment). During Content Customisation, we tailor all modules and case studies to your specific education context.

Training Solutions

EDU-COMPLETE

Cohort-basedSubsidy eligible

AI for Education Teams

Education teams can deploy AI for personalised learning, automated assessment, student analytics, and administrative efficiency — improving outcomes by 15-25% within one semester

Comprehensive AI training for educators, administrators, and instructional designers across K-12 schools, universities, polytechnics, and EdTech companies in Southeast Asia. Covers personalised learning, adaptive assessment, student engagement analytics, administrative automation, and MOE compliance frameworks. Designed for institutions adopting AI-enabled teaching and learning strategies.

Duration4-5 days

InvestmentUSD $20,000 - $40,000

Best forUniversities, polytechnics, international schools, and EdTech companies deploying AI across teaching, learning, administration, and student support — suitable for 25-60 education professionals

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THE CHALLENGE

Sound familiar?

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We have 400+ students per instructor and can't provide individualised feedback at scale.

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Assessment grading takes 6-8 hours per assignment — AI could automate 70% of that.

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At-risk students fall through the cracks because we identify them too late in the semester.

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Our curriculum planning is still done in Word documents with no data on which topics students struggle with most.

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We're creating the same learning resources in three different formats (slides, videos, quizzes) manually.

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MOE wants us to demonstrate learning outcomes alignment but our data is scattered across LMS, SIS, and spreadsheets.

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OUTCOMES

What you'll achieve

Problems you'll solve

Educators spending 60-70% of time on grading, admin, and repeated explanations instead of high-value teaching
Student performance data siloed across LMS, SIS, and assessment platforms with no unified analytics
At-risk student identification happening reactively (after failures) instead of predictively (early intervention)
Curriculum development lacking data-driven insights into learning gaps and concept mastery
Personalised learning limited to small cohorts due to manual workload constraints
MOE reporting and compliance requiring manual data aggregation from multiple systems

Value you'll gain

Time Savings: Reduce grading and admin time by 50-70% through AI-powered assessment and feedback automation
Student Outcomes: Improve learning outcomes by 15-25% using AI personalised learning pathways and adaptive content
Retention: Increase student retention by 10-18% through early identification of at-risk learners
Scale: Deliver personalised feedback to 300+ students per instructor (previously 50-80)
Compliance: Automate MOE outcome reporting and accreditation documentation with AI analytics
Innovation: Position institution as AI-forward education leader attracting tech-savvy students and faculty

OUR PROCESS

How we deliver results

Step 1

Education Context Assessment

Map current LMS, SIS, assessment platforms, and teaching workflows. Identify highest-impact AI opportunities across pedagogy, administration, and student support aligned with MOE frameworks.

Step 2

Curriculum Customisation

Tailor training to your education level (K-12, higher ed, polytechnic, vocational) and roles (faculty, instructional designers, admissions, student support, IT).

Step 3

Hands-On Delivery

Multi-day programme with live student data, real assessment scenarios, and hands-on labs building AI-powered lesson plans, adaptive quizzes, and engagement dashboards.

Step 4

Use Case Development

Teams build education-specific AI applications: personalised learning bots, auto-grading systems, at-risk student predictors, or curriculum analytics dashboards.

Step 5

Adoption Support

30-day coaching to deploy AI pilots in live courses, integrate with existing LMS/SIS, and measure learning outcome improvements per MOE requirements.

What you'll receive

Education AI Readiness Assessment Report
Customised training materials aligned to your institution type
4-6 education-ready AI use cases (teaching, assessment, admin, student support)
AI implementation playbooks for education teams
Individual learning certificates and competency assessments
30-day post-programme coaching and deployment support
AI vendor shortlist and MOE-compliant analytics templates

Best for

Universities, polytechnics, international schools, and EdTech companies deploying AI across teaching, learning, administration, and student support — suitable for 25-60 education professionals

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

Universities, polytechnics, and international schools deploying AI across teaching and operations
Education institutions seeking to improve learning outcomes by 15-25% through personalised learning
Schools struggling with large class sizes (200+ students) and limited personalised feedback capacity
Institutions requiring MOE compliance reporting with unified learning analytics
EdTech companies building AI-powered learning platforms for Southeast Asia markets

Consider another option if...

Institutions seeking theoretical AI knowledge without hands-on classroom implementation
Schools with no digital learning platforms (LMS, SIS) — recommend digitization assessment first
Single educators without institutional support for AI deployment (recommend individual upskilling)

See yourself in the list above?

Let's Talk

CURRICULUM

What you'll learn

2 days total

Build foundational AI literacy for teaching professionals: what AI can/cannot do, ethical considerations, and practical applications in education.

What you'll be able to do

Understand core AI concepts (machine learning, NLP, computer vision) in education context
Identify high-value AI use cases across teaching, assessment, and administration
Evaluate AI education tools against pedagogical effectiveness and student privacy
Address educator concerns about AI replacing teachers (AI as augmentation, not replacement)
Navigate MOE AI ethics guidelines and student data protection regulations (PDPA, FERPA)