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Dr. Shuchi Grover
Director, AI & Education Research for Looking Glass Ventures
Austin, Texas, USA / Asian or Asian American
👩 she/her/hers
🎓Stanford University: Doctor of Philosophy (Ph.D.), Learning Sciences & Technology Design, 2009 – 2014 (focused on K-12 Computer Science Education)
🎓Harvard University Graduate School of Education: Master of Education (M.Ed.), Technology, Innovation, and Education, 2001 - 2003
🎓Case Western Reserve University: Master of Science (M.S.), Computer Science, 1991 – 1993.
🎓Birla Institute of Technology and Science (India): Bachelor of Science (B.S.), Computer Science & Physics, 1984 -1989
😁 Her love for working with patterns and observing patterns in nature inspires her to crochet/knit and garden in her spare time.

Dr. Shuchi Grover inspires learners to see computer science as the engine of innovation—encouraging perseverance, exploration, and the courage to forge one’s own path.
ABOUT HER WORK
Field-defining scholarship in CT & K-12 CS. Advanced the conceptual and empirical foundations of computational thinking and its integration with core subjects; blended learning-sciences theory with classroom realities to shape what "good learning" looks like in K-12 CS. Awarded the 2024 Henry & Bryna James David Award from the US National Academies Division of Behavioral and Science Sciences and Education (DBASSE), an annual award recognizing a researcher who has drawn insights from the behavioral & social sciences to inform public policy.
Bridge between research and practice. Turned evidence into usable curricula, PD, and tools (e.g., CT progressions, assessment rubrics, teacher supports) that teachers can use. Created the "Computer Science in K-12: An A–Z handbook on teaching programming" that distills a sprawling landscape of content, pedagogies, and practices into coherent explanations with concrete examples for all grade bands.
Assessment and measurement leadership. Designed practical, valid ways to assess CT/CS learning (from item banks to mixed-methods and sequence-mining approaches)
STEM+Computing integration with CT, data, and modeling. Designed STEM+C integrated learning experiences for PK-12, and showed how modeling, simulation, and data practices deepen science and math learning.
AI education pioneer for schools. Design principles, curricula, and teacher PD for teaching AI (especially in middle and high school).
Equity, belonging, and human-centered design. Centering culturally responsive pedagogy, role-model narratives, and student agency; designs for access in both formal and out-of-school contexts globally.
Field building & thought leadership. Participated in multi-stakeholder coalitions, convened shared agendas, and wrote for broad audiences (blogs, briefs, policy notes).
Global impact. Worked across geographies and systems (US, India, Europe, etc.), adapting frameworks to local contexts while maintaining fidelity to evidence.
Mentorship & community cultivation. Championed teachers, early-career researchers, and practitioners—expanding capacity through PD, open resources, and collaborative RPPs.

WATCH & DISCUSS
Watch: Dr. Shuchi Grover's keynote address - Infusing computational thinking into early childhood
Discuss:
What was the world like in the year 2000, and what do you think the world will be like in 2036?
→ How could math and computational thinking help us understand the changes between those years?
Imagine you’re creating an algorithm to predict the future—what steps would your program need to take, and how would it make decisions?
When thinking about the world in 2036, what information is essential to include in your prediction—and what details could you ignore to keep it simple?
Why might two people who use the same data come up with completely different models of what the future will look like?
How might rapid advances in technology between 2000 and 2036 help some communities while leaving others behind?
How can we use computational thinking to make sure future innovations are fair, inclusive, and benefit everyone?
What skills—mathematical, computational, or personal—do you think will be most valuable in 2036, and why?
How can math help us understand how the world used to be, and how can computational thinking help us imagine what it could become?
OTHER RESOURCES
ARTICLES
EXTENSION ACTIVITIES
ADVICE TO YOUNGER SELF
