Programs & Services
Research-based STEM workshops and professional development designed for schools across Asia Pacific and beyond
Based in Thailand, Edpresso serves international schools, bilingual programs, and education organizations committed to culturally responsive, equity-centered STEM education.
Student Workshops
Hands-on STEM experiences that connect to students' lives and build future-ready skills. Each workshop is designed to honor students' cultures, languages, and lived experiences as assets for learning.
All workshops can be delivered in-person or online, tailored to your school's context, and adapted for diverse learners.
Curriculum Links: Computing, Mathematics, Science, Social Studies
Students explore how AI systems work across mathematics, science, and social contexts, learning to question them critically. Through hands-on activities connecting multiple disciplines, they train machine learning models, discover how bias enters algorithms through data patterns, and discuss ethical implications—integrating computational thinking, statistics, and real-world problem-solving.
Learning Outcomes:
- ✓Understand how AI and machine learning systems make decisions
- ✓Identify bias in datasets and algorithms using real-world examples
- ✓Train and test simple machine learning models
- ✓Analyze AI's impact on diverse communities
- ✓Develop agency as critical consumers and creators of technology
Curriculum Links: Computing, Mathematics, Problem-Solving
Students develop algorithmic thinking by solving interdisciplinary problems that connect mathematics, science, and technology. They learn to decompose complex challenges, recognize patterns across subjects, and create solutions through coding—seeing how computational thinking transfers from mathematics to engineering, data analysis to scientific modeling.
Learning Outcomes:
- ✓Apply decomposition, pattern recognition, and abstraction to real problems
- ✓Write and debug code to solve culturally relevant challenges
- ✓Connect computational thinking to students' lived experiences
- ✓Build confidence as problem-solvers and creators
- ✓See themselves as capable technologists
Curriculum Links: Mathematics, Science, Social Studies, Computing
Students become data investigators, connecting mathematics, science, and technology through real-world analysis. They collect and analyze information using statistical methods, create visualizations that integrate design principles, and communicate insights—experiencing how data science bridges multiple disciplines from mathematics to social studies, science to technology.
Learning Outcomes:
- ✓Collect and organize data from culturally relevant contexts
- ✓Analyze data using statistical methods and critical thinking
- ✓Create visualizations that tell meaningful stories
- ✓Question whose data is represented and whose is missing
- ✓Make evidence-based arguments grounded in their communities
Curriculum Links: Mathematics, Science, Real-World Problem-Solving
Mathematics comes alive through cross-curricular connections to science, technology, engineering, and AI. Students explore mathematical concepts through interdisciplinary problems—using algebra in data analysis, geometry in engineering design, statistics in AI applications—seeing how mathematics connects across all STEM fields and real-world problem-solving.
Learning Outcomes:
- ✓Solve problems using mathematics from students' cultural contexts
- ✓Develop and share multiple solution strategies
- ✓See mathematics as connected to their lives and identities
- ✓Build confidence as mathematical sense-makers
- ✓Honor diverse ways of knowing and problem-solving
Curriculum Links: Computing, Design Technology, Science, Engineering
Students integrate mathematics, science, engineering, and coding through robotics challenges. They apply geometry and measurement in design, physics principles in motion, algorithmic thinking in programming, and data analysis in testing—experiencing how STEM disciplines connect through hands-on engineering and AI-powered problem-solving.
Learning Outcomes:
- ✓Design and build robots to address real-world challenges
- ✓Apply the engineering design process iteratively
- ✓Program robots using coding concepts
- ✓Collaborate and communicate as engineering teams
- ✓See themselves as engineers and problem-solvers
Curriculum Links: Computing, Design Thinking, Innovation
Students use design thinking to create technology-based solutions that integrate multiple disciplines. They apply computational thinking, mathematics in prototyping, science principles in testing, and AI tools in innovation—experiencing how real-world problem-solving requires connecting knowledge across subjects to create meaningful change.
Learning Outcomes:
- ✓Identify problems that matter to their communities
- ✓Apply design thinking and human-centered design
- ✓Create prototypes using digital tools and coding
- ✓Test and iterate based on feedback
- ✓Build confidence as changemakers and innovators