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Simulations and the Future of Learning offers trainers and educators the information and perspective they need to understand, design, build, and deploy computer simulations for this generation. Looking back on his recent first-hand experience as lead designer for an advanced leadership development simulation, author Clark Aldrich has created a detailed case study of the creation and deployment of an e-learning simulation that had the development cycle of a modern computer game. With this book Aldrich, a leader in the e-learning field, has created an intriguing roadmap for the future of learning while taking us along on an entertaining rollercoaster ride of trial and error, success and failure. Simulations and the Future of Learning outlines the design principles and critical decisions around any simulation's components— the interface, the physics and animation systems, the artificial intelligence, and sets and figures. Using this accessible resource, readers will learn how to create and evaluate successful simulations that have the following characteristics: authentic and relevant scenarios; applied pressure situations that tap user's emotion and force them to act; a sense of unrestricted options; and replayability.
Simulation-based education (SBE) is a teaching strategy in which students adopt a character as part of the learning process. SBE has become a fixture in the university classroom based on its ability to stimulate student interest and deepen analytical thinking. Simulations and Student Learning is the first piece of scholarship that brings together experts from the social, natural, and health sciences in order to open up new opportunities for learning about different strategies, methods, and practices of immersive learning. This collection advances current scholarly thinking by integrating insights from across a range of disciplines on how to effectively design, execute, and evaluate simulations, leading to a deeper understanding of how SBE can be used to cultivate skills and capabilities that students need to achieve success after graduation.
"This book examines the potential of games and simulations in online learning, and how the future could look as developers learn to use the emerging capabilities of the Semantic Web. It explores how the Semantic Web will impact education and how games and simulations can evolve to become robust teaching resources"--Provided by publisher.
This book is written for teacher educators who are looking for strategies to teach a foreign or second language in a more meaningful way whilst applying active methodologies to develop critical thinking skills. The book is designed to guide the readers through a series of simulations that provide challenging learning opportunities, similar to the ones experienced in real life, whereby each simulation is designed to support participants’ language and critical thinking skills and their abilities as future teachers. The book first introduces the concept of simulations in education. Then it provides examples of fully developed simulations and instructions for their implementation, a template for the readers to create their own simulations, as well as suggestions for peer classroom observation and professional development. Finally, three case studies exploring student learning through simulations are presented. This book is a useful teaching resource for teacher instructors, English as a Second Language/English as a Foreign Language students, secondary school teachers and for language institutions.
Designed for learning professionals and drawing on both game creators and instructional designers, Learning by Doing explains how to select, research, build, sell, deploy, and measure the right type of educational simulation for the right situation. It covers simple approaches that use basic or no technology through projects on the scale of computer games and flight simulators. The book role models content as well, written accessibly with humor, precision, interactivity, and lots of pictures. Many will also find it a useful tool to improve communication between themselves and their customers, employees, sponsors, and colleagues. As John Coné, former chief learning officer of Dell Computers, suggests, “Anyone who wants to lead or even succeed in our profession would do well to read this book.”
"Ready to blow your mind? Spend 15 seconds reading Clark Aldrich's The Complete Guide to Simulations and Serious Games. Witty, fast-paced, and non-linear -- it's Spock meets Alton Brown." -- Lynne Kenney, Psy.D., The Family Coach This exciting work offers designers a new way to see the world, model it, and present it through simulations. A groundbreaking resource, it includes a wealth of new tools and terms and a corresponding style guide to help understand them. The author -- a globally recognized industry guru -- covers topics such as virtual experiences, games, simulations, educational simulations, social impact games, practiceware, game-based learning/digital game based learning, immersive learning, and serious games. This book is the first of its kind to present definitions of more than 600 simulation and game terms, concepts, and constructs.
Contains research and current trends used in digital simulations of teaching, surveying the uses of games and simulations in teacher education.
Jossey-Bass Guides to Online Teaching and Learning Learning Online with Games, Simulations, and Virtual Worlds Strategies for Online Instruction Clark Aldrich Learning Online with Games, Simulations, and Virtual Worlds The infusion of games, simulations, and virtual worlds into online learning can be a transforming experience for both the instructor and the student. This practical guide, written by education game expert Clark Aldrich, shows faculty members and instructional designers how to identify opportunities for building games, simulations, and virtual environments into the curriculum; how to successfully incorporate these interactive environments to enhance student learning; and how to measure the learning outcomes. It also discusses how to build institutional support for using and financing more complex simulations. The book includes frameworks, tips, case studies and other real examples, and resources. Praise for Learning Online with Games, Simulations, and Virtual Worlds "Clark Aldrich provides powerful insights into the dynamic arena of games, simulations, and virtual worlds in a simultaneously entertaining and serious manner as only he can. If you are involved with educating anyone, from your own children to classrooms full of students, you need to devour this book." — Karl Kapp, assistant director, Institute for Interactive Technologies, Bloomsburg University "At a time when the technologies for e-learning are evolving faster than most people can follow, Aldrich successfully bridges the perceptual gap between virtual worlds, digital games, and educational simulations, and provides educators with all they really need to use this technology to enhance and enrich their e-learning experiences." — Katrin Becker, instructor, Department of Computer Science and Information Systems, Mount Royal College, and adjunct professor of education, University of Calgary "I consider this a must-read for anyone engaged in or contemplating using these tools in their classrooms or designing their own tools." — Rick Van Sant, professor of learning and technology, Ferris State University
At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential. Many experts have called for a new approach to science education, based on recent and ongoing research on teaching and learning. In this approach, simulations and games could play a significant role by addressing many goals and mechanisms for learning science: the motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning. To explore this potential, Learning Science: Computer Games, Simulations, and Education, reviews the available research on learning science through interaction with digital simulations and games. It considers the potential of digital games and simulations to contribute to learning science in schools, in informal out-of-school settings, and everyday life. The book also identifies the areas in which more research and research-based development is needed to fully capitalize on this potential. Learning Science will guide academic researchers; developers, publishers, and entrepreneurs from the digital simulation and gaming community; and education practitioners and policy makers toward the formation of research and development partnerships that will facilitate rich intellectual collaboration. Industry, government agencies and foundations will play a significant role through start-up and ongoing support to ensure that digital games and simulations will not only excite and entertain, but also motivate and educate.
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning. With this practical book, you’ll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits