Deeper Learning at Scale with Roleplaying Systems


Book Description

Contemporary online learning systems are increasingly important and common elements of post-secondary, workplace, and lifelong education. The current state is that these systems typically employ the banking model of education to educate learners. While this method is quite effective for teaching foundational knowledge, it is ill-suited for fostering deeper learning, "...an umbrella term for the skills and knowledge that students must possess to succeed in 21st century jobs and civic life..." [218] including, among other things, critical thinking. To meet learners' growing needs, we must go beyond the banking model of education and advance the state of the art. As a step toward this goal, I investigated how one might design online learning systems to scalably support critical thinking. Reflection, when not treated synonymously with critical thinking, is often cited as a key component of critical thinking. Thus, by working to support reflection in online learning systems, I work to support critical thinking skills at scale and, by extension, deeper learning. This dissertation contributes (1) a framework, grounded in roleplay theory & practice, for designing online learning systems that scalably support reflection, (2) novel systems that exemplify and operationalize this framework, (3) a method for effectively evaluating reflection at scale, and (4) an evaluation of the novel systems and design framework in terms of their ability to support reflection.




Deep Learning at Scale


Book Description

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale




Preparing Leaders for Deeper Learning


Book Description

An astute assessment of the educational leadership skills and leadership development practices that align with deeper learning in K–12 schools. Preparing Leaders for Deeper Learning spotlights educational leaders as key actors in the urgent task of readying students for college, careers, and citizenship in an evolving world. Marjorie Wechsler and Steven Wojcikiewicz argue that, in response to new understandings of learning and development and emerging societal needs, K–12 school leaders must be able to shift institutions toward deeper learning models, in which collaboration, critical thinking, and project-based learning are fundamental concepts. Through detailed case studies, Wechsler and Wojcikiewicz demonstrate how educational leadership development programs can prepare principals to guide their schools, teachers, and students toward deeper learning and equity. They highlight the approaches of five exemplary leadership preparation programs—the University of Illinois at Chicago, Long Beach Unified School District, Arkansas Leadership Academy, National Institute for School Leadership, and the University of California, Berkley—which together serve educational leaders at all career levels, from initial training for candidates through in-service professional development for seasoned school principals. They identify school structures and classroom practices that enable these programs to confer the skill set needed for deeper learning leadership, and they describe the education policy priorities that can support school leaders in acquiring these necessary skills. This book shows that targeted leadership development is a vital component of transforming schools to create deeper learning opportunities for all students.




Deep Learning at Scale


Book Description

Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale




Safety and Reliability – Safe Societies in a Changing World


Book Description

Safety and Reliability – Safe Societies in a Changing World collects the papers presented at the 28th European Safety and Reliability Conference, ESREL 2018 in Trondheim, Norway, June 17-21, 2018. The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk management Safety and Reliability – Safe Societies in a Changing World will be invaluable to academics and professionals working in a wide range of industrial and governmental sectors: offshore oil and gas, nuclear engineering, aeronautics and aerospace, marine transport and engineering, railways, road transport, automotive engineering, civil engineering, critical infrastructures, electrical and electronic engineering, energy production and distribution, environmental engineering, information technology and telecommunications, insurance and finance, manufacturing, marine transport, mechanical engineering, security and protection, and policy making.







Pip System Corebook


Book Description




Cognitive Systems and Signal Processing


Book Description

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020. The 59 revised papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on algorithm; application; manipulation; bioinformatics; vision; and autonomous vehicles.




Education for Life and Work


Book Description

Americans have long recognized that investments in public education contribute to the common good, enhancing national prosperity and supporting stable families, neighborhoods, and communities. Education is even more critical today, in the face of economic, environmental, and social challenges. Today's children can meet future challenges if their schooling and informal learning activities prepare them for adult roles as citizens, employees, managers, parents, volunteers, and entrepreneurs. To achieve their full potential as adults, young people need to develop a range of skills and knowledge that facilitate mastery and application of English, mathematics, and other school subjects. At the same time, business and political leaders are increasingly asking schools to develop skills such as problem solving, critical thinking, communication, collaboration, and self-management - often referred to as "21st century skills." Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century describes this important set of key skills that increase deeper learning, college and career readiness, student-centered learning, and higher order thinking. These labels include both cognitive and non-cognitive skills- such as critical thinking, problem solving, collaboration, effective communication, motivation, persistence, and learning to learn. 21st century skills also include creativity, innovation, and ethics that are important to later success and may be developed in formal or informal learning environments. This report also describes how these skills relate to each other and to more traditional academic skills and content in the key disciplines of reading, mathematics, and science. Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century summarizes the findings of the research that investigates the importance of such skills to success in education, work, and other areas of adult responsibility and that demonstrates the importance of developing these skills in K-16 education. In this report, features related to learning these skills are identified, which include teacher professional development, curriculum, assessment, after-school and out-of-school programs, and informal learning centers such as exhibits and museums.




Stars Without Number (Perfect Bound)


Book Description

Stars Without Number is a science fiction role-playing game inspired by the Old School Renaissance and the great fantasy and science-fiction games of the seventies and eighties. * Compatible with most retroclone RPGs * Helps a GM build a sandbox sci-fi game that lets the players leave the plot rails to explore freely * World building resources for creating system-neutral planets and star sectors * 100 adventure seeds and guidelines for integrating them with the worlds you've made * Old-school compatible rules for guns, cyberware, starships, and psionics * Domain rules for experienced characters who want to set up their own colony, psychic academy, mercenary band, or other institution