By incorporating localised STEM learning units from abroad, the programme aims to equip teachers/pre-service teachers with the techniques needed to foster critical thinking and analytical skills in students, essential for their future success. 

SEA-TEP strongly advances THE LAB's MISSION: M1, M2, and M3 through its localized critical STEM education focus and professional development efforts. 

The Career Passport Project empowers primary students to self-assess, document their skills and attributes, and showcase their learning through real products. It focuses on building new innovative skills, career readiness, and character development, encouraging students to explore future pathways from an early age.

Career Passport Project strongly supports the LAB's MISSION M3 by promoting personalized, inclusive skill documentation, and indirectly associates meaningful contribution to M1 and M5 through fostering critical thinking about skills, futures, and social roles. 

The green learning modules are localized for the Thai context, designed for repeated use and flexible adaptation to meet evolving educational needs. By incorporating Claim-Evidence-Reasoning (CER) and STEM green skills into education, the project enhances students’ readiness for the PISA 2025 assessment and prepares them for a sustainable future.

The localization of STEM Green Skills strongly advances the LAB's MISSION: M1, M2, and M3, by making education more critical, context-based, and inclusive.

The Visual Mathematics and Statistics Project aims to introduce young learners and educators to foundational data analytic skills through digital tool exploration. Using platforms such as SageModeler, CODAP, and AI-Thaigen, participants will engage with real-world data, construct visual models, and develop critical awareness of how data is used in everyday life. 

This project strongly supports the LAB's MISSION: M1, M2, and M3 through critical, modern, and inclusive approaches to math education and moderately advances M4 by offering opportunities for collaboration across institutions and contexts.

The Math for Equity Project empowers primary and secondary students to apply mathematical thinking in real-life contexts that promote survival, fairness, and community well-being. Students develop critical skills in rule setting, selection, and location-based decision-making, using mathematics to justify choices and navigate everyday dilemmas. Through integration of math problem-solving with ethical awareness, the project nurtures civic responsibility and equitable living.

The localization of Math for Equity Strongly supports the LAB's MISSION: M1, M3, and M5 by positioning math as a critical, culturally relevant tool for fairness and decision-making. 

The AI Modeling with Mathematics in Context Project offers educators an alternative perspective on understanding AI, image processing, and data analysis through a mathematical lens. Designed for K–12 students, the project integrates computational thinking (CT), AI reasoning, and mathematical skills to cultivate logical, systematic, and critical thinking from an early age.

This project strongly strongly advances the LAB's MISSION: M1, M2, M3, and M5 by merging mathematics with AI literacy, critical thinking, and real-world relevance, and moderately advances M4, particularly if scaled into larger community and academic partnerships.