Taylor Martin is principal learning scientist at O’Reilly Media, where she helps a team of data scientists and engineers mix in just the right amount of data-driven learning engineering to personalize the learning experience across various forms of published media. Taylor’s research focuses on understanding how people learn, and she’s particularly interested in how adaptive and personalized learning can best be used to help people reach their learning goals faster. As an established academic and thought leader in the learning sciences, Taylor has spearheaded data-centric approaches to developing learning environments and measuring how people learn science, math, engineering, and computer science in environments that include online games, online programming environments (e.g., scratch.mit.edu), internship programs, Maker spaces, and engineering design labs.
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