AISI Implementation Overview
Scaling AI‑supported inquiry learning across Indonesia, India, Taiwan, and the Netherlands
Scaling AI‑supported inquiry learning across Indonesia, India, Taiwan, and the Netherlands
Written by Sumardani & Kurniawan
AISI is co‑developed and localized with educators and researchers across four contexts. Below are snapshots of goals, adaptations, and early use cases.
Context: Diverse infrastructure; Kurikulum Merdeka encourages project‑based learning and assessment of reasoning.
Goals: boost argumentation in science classes; support bilingual prompts; function in low‑bandwidth schools.
Use cases: energy policy debate (EV 2040), climate resilience, local ecology.
Context: NEP 2020 emphasizes competency‑based, multidisciplinary learning; massive linguistic diversity; device‑sharing common.
Goals: enable group‑device workflows and multilingual feedback; integrate datasets from local issues (Wind, Bio and Nuclear Energy).
Context: Strong digital infrastructure; active research–practice partnerships; focus on AI literacy and learning analytics.
Goals: deepen inquiry in STEM; connect dashboard analytics to instructional decisions; align with national AI competence frameworks.
Adaptations: Chinese/English bilingual prompts; export to research formats; dashboard for learning progressions.
Context: High teacher autonomy; emphasis on inquiry & argumentation; strong culture of reflective practice.
Goals: support student agency while strengthening evidence standards;
Adaptations: Dutch prompts; explicit source credibility checks;
Demo
AISI Demo #1 Build a Critical Thinking Task in AISI (Single Choice and Repeated Question)
AISI Demo #2 ThinkForge Chatbox — Why a Coin Sinks but a Ship Floats (All Mode)