December 5, 2016 — Alyson Gamble, Wolfram Blog Team

Whatever their future fields, students need to learn computational thinking, a method of problem solving in which questions are framed in a way that can be communicated to a computer.

compthinkingimage

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October 5, 2016 — Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group

After 36 hours, two math graduate students created Draw Anything, the grand prize–winning, Wolfram Cloud–powered app, at the MHacks V hackathon. We’ve written about Olivia Walch and Matt Jacobs’s winning iOS app before. Now, the pair of prize-winning Wolfram hackers have taken the time to talk with us about how they used the Wolfram Language and fast Fourier transforms to create step-by-step drawing guides for any input image—whether it’s a picture of Homer Simpson, a dog, yourself or your future dream car.

Draw Anything car demonstration

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September 16, 2016 — Greg Hurst, Kernel Developer, Mathematica Algorithm R&D

Thirty-nine students from seven different countries attended our camp at Bentley University this summer. Students arrived at camp with some programming experience, but most had little or no familiarity with the Wolfram Language. Despite this, in nine short days they were all able to complete amazing projects.

Group Image of Wolfram Summer Camp Participants

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September 7, 2016 — Stephen Wolfram

The Computational Future

Computational thinking is going to be a defining feature of the future—and it’s an incredibly important thing to be teaching to kids today. There’s always lots of discussion (and concern) about how to teach traditional mathematical thinking to kids. But looking to the future, this pales in comparison to the importance of teaching computational thinking. Yes, there’s a certain amount of traditional mathematical thinking that’s needed in everyday life, and in many careers. But computational thinking is going to be needed everywhere. And doing it well is going to be a key to success in almost all future careers.

Doctors, lawyers, teachers, farmers, whatever. The future of all these professions will be full of computational thinking. Whether it’s sensor-based medicine, computational contracts, education analytics or computational agriculture—success is going to rely on being able to do computational thinking well.

I’ve noticed an interesting trend. Pick any field X, from archeology to zoology. There either is now a “computational X” or there soon will be. And it’s widely viewed as the future of the field.

Computational Thinking WordCloud

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August 22, 2016 — Ishwarya Vardhani, Educational Partnerships

Are you a teacher who’s been asked “Why am I learning this?”, “How is this going to help me in real life?” and other variations of this question by your students? I know that I faced this when I was teaching, and it can be tough to provide a satisfactory response. However, being able to address this issue is critical in the classroom. We believe that Wolfram|Alpha provides one way to do so.

The Wolfram Knowledgebase, our ever-growing repository of curated computable data, gives you instant access to trillions of data elements across thousands of domains. With Wolfram|Alpha, you can query these data points using natural language (plain English) right in your classroom.

By using real-world data, students have the opportunity to direct their learning toward areas that they care about. In the economics classroom, you can discuss GDP using data about real countries, data that is current and citable. Explore Wolfram|Alpha’s trove of socioeconomic data that will open multiple areas of inquiry in the classroom. A wonderful side effect that I’ve found with using a tool like Alpha is that it also teaches you to pose queries intelligently. Being able to carefully construct a problem is an integral step in the process of thinking critically.

Join us for a special training event on August 24 to learn more about using Wolfram|Alpha in the classroom. This session in the Wolfram|Alpha for Educators: Webinar Training Series will focus on the economics classroom. Previous sessions in this series focused on calculus and physics classrooms, and you can watch our past event recordings online.

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August 17, 2016 — Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group

3D printing. Audio. Machine learning. Neural networks. There are 555 completely new functions, major new areas of functionality and a vast deepening of core capabilities in Version 11 of the Wolfram Language and Mathematica. Continuing a three-decade tradition of aggressive innovation, Version 11 is filled to the brim with cutting-edge technology, and we’re excited to share with you how to put all these new features to use.

Join us for a special two-part webinar event, New in the Wolfram Language and Mathematica Version 11, on August 23, 2016, from 2–3:30pm EDT (6–7:30pm GMT) and August 30, 2016, from 2–4pm EDT (6–8pm GMT). Take the opportunity to explore the new features in the Wolfram Language and Mathematica with experts at Wolfram Research, then engage in interactive Q&A with the developers after the presentations.

One example of what's new in Version 11: You can now generate 3D-printable models algorithmically

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July 14, 2016 — Connor Flood, Consultant, Wolfram|Alpha Math Content

An idea, some initiative, and great resources allowed me to design and create the world’s first online syntax-free proof generator using induction, which recently went live on Wolfram|Alpha.

Induction-based proof generator on Wolfram|Alpha

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July 6, 2016 — Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group

The population of Wolfram Language speakers around the globe has only grown since the language’s inception almost thirty years ago, and we always enjoy discovering users and authors who share their passion for Wolfram technologies in their own languages. So in this post, we are highlighting foreign-language books around the world that utilize Wolfram technologies, from a mathematical toolbox in Japanese to an introduction on bioinformatics from Germany.

Basic Mathematica Primer; Mathematica Basic Training Course; Mathematica-Based Digital Physics

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June 9, 2016 — Rob Morris, Education Product Analyst, Business Analysis

Last month marked the seventh anniversary of Wolfram|Alpha. Since its launch, Wolfram|Alpha has earned a reputation as an indispensable tool for learning math and many other topics. We have been continually adding new content and capabilities to Wolfram|Alpha, and now we want to show you how it can be used to support computational thinking in any classroom.

We invite you to join us at a special virtual event, Wolfram|Alpha in Your Classroom: Virtual Workshop for Educators, on June 15, 2016, 2–3pm US EDT (6–7pm GMT). Come see examples of how Wolfram|Alpha’s built-in data and analysis capabilities can be used to enrich many types of classes, and take the opportunity to preview upcoming tools from Wolfram that will make teaching and learning easier.

Special event: Wolfram|Alpha in Your Classroom: Virtual Workshop for Educators

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May 26, 2016 — Jon McLoone, International Business & Strategic Development

Following three years of successful European Wolfram Technology Conferences in Frankfurt, we decided to do things a bit differently this year and bring the conference to you.

Over a span of five days from June 6 to 10, we will be running a series of one-day mini conferences in London, Zurich, Berlin, Eindhoven, and Warsaw.

Wolfram European Technology Tour cities

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