About Method Mastery
Advancing research-informed educational AI through educational language infrastructure, corpus linguistics, and authentic classroom practice.
Method Mastery develops research-informed educational AI by combining educational language infrastructure, authentic classroom practice, corpus linguistics, and international teaching experience. We partner with universities, schools, and educational organizations to build AI systems grounded in real instructional practice., schools, and educational organizations to build AI systems grounded in real instructional practice., L&D teams, and organizations improve communication and learning..
Rather than asking how AI can replace teachers, we ask a different question:
How can educational language help AI become a better teaching partner?
OUR RESEARCH PHILOSOPHY
Our Work Follows Five Guiding Principles
1 Authentic Curriculum
AI should learn from the language students actually encounter in classrooms.
2 Teacher Expertise
Experienced teachers possess instructional knowledge that deserves to become part of educational AI.
3 Differentiated Instruction
Effective instruction adapts to learner language proficiency, classroom goals, and educational context.
4 Research-Informed AI
Educational AI should emerge from classroom evidence rather than generic prompting.
5 Continuous Validation
Institutional pilot studies ensure research remains grounded in authentic educational practice.
The Research Ecosystem
Educational Language Infrastructure in Practice
Method Mastery brings together curriculum corpora, teacher practice corpora, educational language analysis, classroom pilots, and research-informed AI into one integrated research ecosystem.
Rather than beginning with generic internet content, every project starts with authentic educational language, classroom implementation, and teacher expertise. These resources are analyzed, validated through institutional partnerships, and transformed into practical instructional decision support.
Each new corpus, classroom collaboration, and research pilot strengthens the educational language infrastructure, enabling future AI systems to become increasingly useful for multilingual education.
Meet the Founder
- 20+ years teaching multilingual learners
- Trained teachers in New York, Mexico, Vietnam, and Taiwan
- Granted awards and fellowships
Recognition
- NYS TESOL Teacher of the Year
- Fulbright Distinguished Awards in Teaching
- English Language Fellow
- International conference presentations
- Publications
Current Initiatives
- Curriculum Corpora
- Teacher Practice Corpora
- Research-informed AI
- Institutional pilots
Work with Method Mastery
We welcome collaboration with:
- Universities
- Schools
- Ministries of Education
- Educational technology companies
- Researchers
Partnerships may include curriculum corpora, teacher practice corpora, institutional pilot studies, professional learning, educational AI development, and collaborative research.
Join the Educational Language Infrastructure Initiative
Help build the educational language infrastructure that powers the next generation of research-informed educational AI.