AI for Education Teams in Indonesia

Our programme builds institutional AI capability so that educational institutions can effectively contribute to KOMDIGI's annual target. We train both administrative staff (for AI-powered operations) and faculty (for AI-enhanced pedagogy), creating a multiplier effect.

Yes. We cover UU PDP compliance for student data including enrollment records, academic performance, and assessment data. Training includes building consent frameworks, audit trails, and data minimisation practices for AI-powered student systems.

Institutional staff may qualify for DTS scholarships through the Professional Academy or Thematic Academy tracks. We can help institutions structure training to align with DTS eligibility criteria and application processes.

We design programmes with blended delivery (55% of Indonesian training programmes are online/blended, per Ken Research) that work across bandwidth contexts. Materials are available offline, and AI tool recommendations include options suitable for rural institution infrastructure.

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.

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.

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.

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.

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.