Mathematics Education for a New Era

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A01=Keith Devlin
algebraic reasoning strategies
Amber Hill
Amber Hill Students
Author_Keith Devlin
Category=UG
Charac Ter
classroom game-based learning
cognitive skill development
Conceptual Understanding
design
developer
digital mathematics pedagogy
educational technology integration
Educational Video Game
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everyday
Everyday Math
Face To Face
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game
Game Designer
Game Developer
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gee
Good Video Game
james
learning principles in gaming
Logical Thinking
Math Ed
Mathematical Proficiency
Mathematics Education
Middle School Mathematics
Middle School Mathematics Education
paul
Phoenix Park Students
Procedural Fluency
Semiotic Domain
Symbolic Math
University Of Wisconsin
video
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video game design for math instruction
Wo
Word Problems
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Product details

  • ISBN 9781138427884
  • Weight: 560g
  • Dimensions: 152 x 229mm
  • Publication Date: 15 Nov 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Stanford mathematician and NPR Math Guy Keith Devlin explains why, fun aside, video games are the ideal medium to teach middle-school math. Aimed primarily at teachers and education researchers, but also of interest to game developers who want to produce videogames for mathematics education, Mathematics Education for a New Era: Video Games as a Medium for Learning describes exactly what is involved in designing and producing successful math educational videogames that foster the innovative mathematical thinking skills necessary for success in a global economy.
Read the author's monthly MAA column Devlin's Angle

Dr. Keith Devlin is a senior researcher and the executive director of the Human Sciences and Technologies Advanced Research Institute (HSTAR) at Stanford University. He is also a cofounder of the Stanford Media X research network and a regular contributor to NPR's Weekend Edition Saturday. His current research focuses on the use of different media to teach and communicate mathematics to diverse audiences. He also works on the design of information/reasoning systems for intelligence analysis.

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