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Network Science In Education

Network Science In Education
Author: Catherine B. Cramer
Publisher: Springer
Total Pages: 205
Release: 2018-10-22
Genre: Science
ISBN: 3319772376
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Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity to (1) leverage new paradigms for understanding the structure and function of teaching and learning communities, and (2) to promote new approaches to developing methods, curricular materials, and resources. Network science - the study of connectivity - can play an important role in these activities, both as an important subject in teaching and learning and as a way to develop interconnected curricula. Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and to its activities - has evolved in response to the escalating activity in the field of network science and the need for people to be able to access the field through education channels. Network Science In Education: Transformational Approaches in Teaching and Learning appeals to both instructors and professionals, while offering case studies from a wide variety of activities that have been developed around the globe: the creation of entirely new courses and degree programs; tools for K-20 learners, teachers, and the general public; and in-depth analysis of selected programs. As network-based pedagogy and the community of practice continues to grow, we hope that the book's readers will join this vibrant network education community to build on these nascent ideas and help deepen the understanding of networks for all learners.

A First Course in Network Science

A First Course in Network Science
Author: Filippo Menczer
Publisher: Cambridge University Press
Total Pages: 275
Release: 2020-01-30
Genre: Science
ISBN: 1108579612
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Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

Network Science

Network Science
Author: Ted G. Lewis
Publisher: John Wiley & Sons
Total Pages: 440
Release: 2011-09-20
Genre: Computers
ISBN: 1118211014
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A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging science. It examines the various kinds of networks (regular, random, small-world, influence, scale-free, and social) and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in its integration of concepts across computer science, biology, physics, social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related Java software. Chapters cover: Origins Graphs Regular Networks Random Networks Small-World Networks Scale-Free Networks Emergence Epidemics Synchrony Influence Networks Vulnerability Net Gain Biology This book offers a new understanding and interpretation of the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study.

Network Models for Data Science

Network Models for Data Science
Author: Alan Julian Izenman
Publisher: Cambridge University Press
Total Pages: 502
Release: 2023-01-05
Genre: Mathematics
ISBN: 1108889034
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This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

Network Science

Network Science
Author: Albert-László Barabási
Publisher: Cambridge University Press
Total Pages: 477
Release: 2016-07-21
Genre: Computers
ISBN: 1107076269
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Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.

Social Network Analysis and Education

Social Network Analysis and Education
Author: Brian V. Carolan
Publisher: SAGE Publications
Total Pages: 345
Release: 2013-03-14
Genre: Social Science
ISBN: 1483303519
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Social Network Analysis and Education: Theory, Methods & Applications provides an introduction to the theories, methods, and applications that constitute the social network perspective. Unlike more general texts, this applied title is designed for those current and aspiring educational researchers learning how to study, conceptualize, and analyze social networks. Brian V. Carolan's main intent is to encourage you to consider the social network perspective in light of your emerging research interests and evaluate how well this perspective illuminates the social complexities surrounding educational phenomena. Relying on diverse examples drawn from the educational research literature, this book makes explicit how the theories and methods associated with social network analysis can be used to better describe and explain the social complexities surrounding varied educational phenomena.

Social Network Theory and Educational Change

Social Network Theory and Educational Change
Author: Alan J. Daly
Publisher: Harvard Education Press
Total Pages: 344
Release: 2010-12-01
Genre: Education
ISBN: 1612503764
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Social Network Theory and Educational Change offers a provocative and fascinating exploration of how social networks in schools can impede or facilitate the work of education reform. Drawing on the work of leading scholars, the book comprises a series of studies examining networks among teachers and school leaders, contrasting formal and informal organizational structures, and exploring the mechanisms by which ideas, information, and influence flow from person to person and group to group. The case studies provided in the book reflect a rich variety of approaches and methodologies, showcasing the range and power of this dynamic new mode of analysis. An introductory chapter places social network theory in context and explains the basic tools and concepts, while a concluding chapter points toward new directions in the field. Taken together, they make a powerful statement: that the success or failure of education reform ultimately is not solely the result of technical plans and blueprints, but of the relational ties that support or constrain the pace, depth, and direction of change. This unique volume provides an invaluable introduction to an emerging and increasingly important field of education research.

Guide to Implementing the Next Generation Science Standards

Guide to Implementing the Next Generation Science Standards
Author: National Research Council
Publisher: National Academies Press
Total Pages: 114
Release: 2015-03-27
Genre: Education
ISBN: 0309305152
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A Framework for K-12 Science Education and Next Generation Science Standards (NGSS) describe a new vision for science learning and teaching that is catalyzing improvements in science classrooms across the United States. Achieving this new vision will require time, resources, and ongoing commitment from state, district, and school leaders, as well as classroom teachers. Successful implementation of the NGSS will ensure that all K-12 students have high-quality opportunities to learn science. Guide to Implementing the Next Generation Science Standards provides guidance to district and school leaders and teachers charged with developing a plan and implementing the NGSS as they change their curriculum, instruction, professional learning, policies, and assessment to align with the new standards. For each of these elements, this report lays out recommendations for action around key issues and cautions about potential pitfalls. Coordinating changes in these aspects of the education system is challenging. As a foundation for that process, Guide to Implementing the Next Generation Science Standards identifies some overarching principles that should guide the planning and implementation process. The new standards present a vision of science and engineering learning designed to bring these subjects alive for all students, emphasizing the satisfaction of pursuing compelling questions and the joy of discovery and invention. Achieving this vision in all science classrooms will be a major undertaking and will require changes to many aspects of science education. Guide to Implementing the Next Generation Science Standards will be a valuable resource for states, districts, and schools charged with planning and implementing changes, to help them achieve the goal of teaching science for the 21st century.

Bringing the Neuroscience of Learning to Online Teaching

Bringing the Neuroscience of Learning to Online Teaching
Author: Tracey Tokuhama-Espinosa
Publisher: Teachers College Press
Total Pages: 129
Release: 2021
Genre: Education
ISBN: 0807779652
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This practical resource draws on the best of neuroscience to inform decision-making about digital learning. We live in unprecedented times that have pushed schools to make many decisions that have been postponed for years. For the first time since the inception of public education, teachers have been invited to redesign the learning landscape by integrating an intelligent selection of digital educational resources and changing pedagogical approaches based on information from the learning sciences. This handbook will help teachers make the most of this opportunity by showing them how to use digital tools to differentiate learning, employ alternative options to standardized testing, personalize learning, prioritize social-emotional skills, and inspire students to think more critically. The author identifies some gems in quality teaching that are amplified in online contexts, including 40 evidence-informed pedagogies from the learning sciences. This book will help all educators move online teaching and learning to new levels of confidence and success. Book Features: Provides quick references to key planning tools like decision-trees, graphics, app recommendations, and step-by-step directions to help teachers create their own online learning courses.Guides teachers through a 12-step model for instructional design that meets both national and international standards.Shows educators how to use an all-new Digital Resource Taxonomy to select resources, and how to research and keep them up to date.Explains why good instructional design and educational technology are complementary with best practices in learning sciences like Mind, Brain, and Education Science.Shares ways teachers can leverage technology to create more time for the personalized aspects of learning. Shows educators how to design online courses with tools that let all students begin at their own starting points and how to differentiate homework.Offers evidence-informed pedagogies to make online intimate and authentic for students.

Linked

Linked
Author: Albert-László Barabási
Publisher: Basic Books
Total Pages: 305
Release: 2014-06-24
Genre: Science
ISBN: 0465038611
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The best-selling guide to network science, the revolutionary field that reveals the deep links between all forms of human social life A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. In Linked, Albert-Lálórabá, the nation's foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Barabá shows that grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick and the Erdos-Réi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts of what would eventually be called the Barabá-Albert model.