Praised by parents, embraced by educators, our complete Learning to Get Along series is now available in one kid-friendly software package (for Windows only). Teachers can choose which books to make available to each child, manage audio features, and track students’ progress. Children follow along or read on their own, using a special highlight feature to click and hear word definitions. A sequence of questions follows each book; test results are stored for teacher review in individual student files. Designed for classroom use, yet equally useful at home. User’s Guide included. Developed in association with Attainment Company.

It's easier to learn how to program a computer than it has ever been before. Now everyone can learn to write programs for themselves - no previous experience is necessary. Chris Pine takes a thorough, but lighthearted approach that teaches you the fundamentals of computer programming, with a minimum of fuss or bother. Whether you are interested in a new hobby or a new career, this book is your doorway into the world of programming. Computers are everywhere, and being able to program them is more important than it has ever been. But since most books on programming are written for other programmers, it can be hard to break in. At least it used to be. Chris Pine will teach you how to program. You'll learn to use your computer better, to get it to do what you want it to do. Starting with small, simple one-line programs to calculate your age in seconds, you'll see how to write interactive programs, to use APIs to fetch live data from the internet, to rename your photos from your digital camera, and more. You'll learn the same technology used to drive modern dynamic websites and large, professional applications. Whether you are looking for a fun new hobby or are interested in entering the tech world as a professional, this book gives you a solid foundation in programming. Chris teaches the basics, but also shows you how to think like a programmer. You'll learn through tons of examples, and through programming challenges throughout the book. When you finish, you'll know how and where to learn more - you'll be on your way. What You Need: All you need to learn how to program is a computer (Windows, macOS, or Linux) and an internet connection. Chris Pine will lead you through setting set up with the software you will need to start writing programs of your own.

IFIP's Working Group 2.7(13.4)* has, since its establishment in 1974, con centrated on the software problems of user interfaces. From its original interest in operating systems interfaces the group has gradually shifted em phasis towards the development of interactive systems. The group has orga nized a number of international working conferences on interactive software technology, the proceedings of which have contributed to the accumulated knowledge in the field. The current title of the Working Group is 'User Interface Engineering', with the aim of investigating the nature, concepts, and construction of user interfaces for software systems. The scope of work involved is: - to increase understanding of the development of interactive systems; - to provide a framework for reasoning about interactive systems; - to provide engineering models for their development. This report addresses all three aspects of the scope, as further described below. In 1986 the working group published a report (Beech, 1986) with an object-oriented reference model for describing the components of operating systems interfaces. The modelwas implementation oriented and built on an object concept and the notion of interaction as consisting of commands and responses. Through working with that model the group addressed a number of issues, such as multi-media and multi-modal interfaces, customizable in terfaces, and history logging. However, a conclusion was reached that many software design considerations and principles are independent of implemen tation models, but do depend on the nature of the interaction process.

This work brings together the insights of ten designers, researchers, and educators, each invited to contribute a chapter that relates his or her experience develping or using a children's robotic learning device. This growing area of endeavour is expected to have prodound and long-lasting effets on the ways children learn and develop, and its participants come from a wide range of backgrounds.

An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.

"This book focuses on the study and application of human computer interaction principles in the design of online education"--Provided by publisher.

"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

A brand-new graphic novel series by Dav Pilkey, the internationally bestselling author and illustrator of the Dog Man and Captain Underpants series. Readers of all ages will unleash their own creativity as they open the door to visual comic-book storytelling with the help of Dav Pilkey and his heartfelt, humorous, and amazing cast, featuring Li'l Petey, Molly, and Flippy in Cat Kid Comic Club.

Eva Nine was raised by the robot Muthr. But when a marauder destroys the underground sanctuary she called home, twelve-year-old Eva is forced to flee aboveground. Eva Nine is searching for anyone else like her. She knows that other humans exist because of a very special item she treasures ~ a scrap of cardboard on which is depicted a young girl, an adult, and a robot along with the strange word "WondLa". Tony DiTerlizzi honours traditional children's literature in this totally original space age adventure: one that is as complex as an alien planet, but as simple as a child's wish for a place to belong.

Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King