Try It! More Math Problems for All: Student Workbook

by Jerry Kaplan, Ysemay Dercon (Illustrator)

This is not your typical math book. Breaking away from the standard drill and practice routine, Try It! More Math Problems for All is a collection of offbeat, open-ended math problems designed to make you excited about working through these challenging yet accessible problems. Each set of Try It! includes ten student work booklets featuring 25 illustrated problems that vary in difficulty, motivating students to think creatively on their own, or to engage in teamwork and cooperation within a group. With plenty of space for student responses and notes, these work booklets will make it quicker and easier to review student work and provide feedback. Can’t get enough? Volumes 1 and 3 in the series are available at Routledge.com. A complete set of hints and solutions for all problems is found in the important teachers' guide at www.routledge.com/9781032515694. This will help you probe, suggest, and encourage students to explore even their most unusual insights on the way to a solution.

54 pages, Paperback

Published December 15, 2023

About the author

Kaplan is widely known as a serial entrepreneur, technical innovator, bestselling author, and futurist. He co-founded four Silicon Valley startups, two of which became publicly traded companies. His best-selling non-fiction novel "Startup: A Silicon Valley Adventure" was selected by Business Week as one of the top ten business books of the year, was optioned to Sony Pictures, and is available in Japanese, Chinese, and Portuguese. Kaplan has been profiled in The New York Times, The Wall Street Journal, Forbes, Business Week, Red Herring, and Upside, and is a frequent public speaker.

Kaplan is currently a Fellow at The Stanford Center for Legal Informatics. He also teaches Philosophy, Ethics, and Impact of Artificial Intelligence in the Computer Science Department, Stanford University. He holds a BA (1972) from the University of Chicago in History and Philosophy of Science, and an MSE (1975) and PhD (1979) in Computer and Information Science, specializing in Artificial Intelligence and Computational Linguistics, from the University of Pennsylvania.