Leveraging Generative Artificial Intelligence to Drive 40% Growth in Math and Reading

27 Jan 2027
District Leaders
Can generative AI help drive growth in both math and reading? This round table discussion examines how Edtech Studio and the ESTREAM model were used in a pilot where, according to state testing data, students reading on or above grade level rose from 6% to 36% and students performing on or above grade level in math rose from 4% to 40%, while the share of students three or more grade levels behind dropped in both subjects. Discuss what this dual-subject approach means for narrowing persistent learning gaps and raising baseline proficiency. Gain an actionable roadmap for implementing this AI assistant and practical techniques for simplifying K-12 curriculum creation to rapidly build fully aligned units and lesson plans. Explore ready-to-use, standards-aligned project-based learning packages that integrate critical thinking, problem-solving, creativity and AI literacy, and leave with strategies for closing achievement gaps and preparing learners to thrive as future leaders.
Speakers
Rehana Mohamed
Rehana Mohamed, Educational Consultant - ESTREAM Sunshine Path
Terence Tan
Terence Tan, General Manager of US Edm8ker - Edm8ker
Aaminah Hussain
Aaminah Hussain, Speaker Guest - ESTREAM Sunshine Path

Access Type

All Registration Types Permitted

Content Topic

Learning Science (Brain Based/Pedagogy/Assessment)

Curriculum Area

STEM/STEAM

Session Type

Leadership Round Tables

Education Challenges

Teaching Diverse Learners

EdTech Product

Educator Curriculum & Instructional Technology