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Deeper Learning Design with ST Math

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Colorado Convention Center, Bluebird Ballroom Lobby, Table 22

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Presenters

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Ki Karou
Sr. Director of Product, Learning
MIND Research Institute
As Sr. Director of Product, Learning for MIND Research Institute, Ki Karou leads a team of learning designers, mathematicians, and artists developing MIND Research interactive programs. He has been designing neuroscience-driven ed tech solutions for over a decade. Prior to joining MIND, he founded Beyond Math, an education company focused on teaching math and science in unique and non-traditional ways. Karou has spoken at SXSW EDU and written articles published in Huffington Post. He has a bachelor’s in engineering from the University of California, Berkeley.

Session description

ST Math is a PreK-8 visual instructional program that leverages the brain's innate spatial-temporal reasoning ability to solve mathematical problems. The program’s patented approach provides students with equitable access to learning through challenging puzzles, problem-solving, and formative feedback. Come learn about our unique approach to solving education.

Purpose & objective

Overview of ST Math and it's unique approach to design that achieves deeper learning outcomes.

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Outline

ST Math Program

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Supporting research

https://www.stmath.com/impact/research

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Session specifications

Topic:
Instructional design & delivery
Grade level:
PK-5
Skill level:
Beginner
Audience:
Curriculum/district specialists, Principals/head teachers, Teachers
Attendee devices:
Devices useful
Attendee device specification:
Laptop: Chromebook, Mac, PC
Subject area:
Math, STEM/STEAM
ISTE Standards:
For Education Leaders:
Equity and Citizenship Advocate
  • Ensure all students have skilled teachers who actively use technology to meet student learning needs.
For Educators:
Facilitator
  • Manage the use of technology and student learning strategies in digital platforms, virtual environments, hands-on makerspaces or in the field.
For Students:
Computational Thinker
  • Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.
Disclosure:
The submitter of this session has been supported by a company whose product is being included in the session

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