Using Digital Analytics for Smart Assessment

Tabatha Farney

Author: Tabatha Farney

Publisher: American Library Association

ISBN: 0838915981

Category: Language Arts & Disciplines

Page: 168

View: 8707


Tracking the library user's journey is no simple task in the digital world; users can often navigate through a series of different websites, including library websites, discovery tools, link resolvers, and more just to view a single journal article. Your library collects massive amounts of data related to this journey—probably more than you realize, and almost certainly more than you analyze. Too often library analytic programs simplify data into basic units of measurements that miss useful insights. Here, data expert Farney shows you how to maximize your efforts: you’ll learn how to improve your data collection, clean your data, and combine different data sources. Teaching you how to identify and analyze areas that fit your library’s priorities, this book covers case studies of library projects with digital analytics;ways to use email campaign data from MailChimp or ConstantContact;how to measure click-through rates from unavailable items in the catalog to the ILL module;getting data from search tools such as library catalogs, journal search portals, link resolvers, and digital repositories;using COUNTER compliant data from your electronic resources;techniques for using Google Tag Manager for custom metrics and dimensions;descriptions of analytics tools ranging from library analytics tools like Springshare’s LibInsights and Orangeboy’s Savannah to more focused web analytics tools like Google Analytics, Piwik, and Woopra; anddata visualization tools like Tableau or Google Data Studio. Focusing on digital analytics principles and concepts, this book walks you through the many tools available, including step-by-step examples for typical library needs.

The Role of the Electronic Resources Librarian

Author: George Stachokas

Publisher: Chandos Publishing

ISBN: 0081029268

Category: Language Arts & Disciplines

Page: 176

View: 6274


The Role of the Electronic Resources Librarian focuses on longstanding hurdles to the transition of libraries from print collections, to online information services, all from an Electronic Resources Librarian (ERL) perspective. Problems covered include cost containment for electronic serials, web design, discovery, customer service, efficiency, and adapting organizations to the needs of contemporary users. The title considers the historical development of the ERL role, how the position emerged in North America in the 1990s, how it is represented within the organizational structure of academic libraries, and how the ERL role maps to technology, information services, and professional identity trends. Explores the changing role of the Electronic Resources Librarian (ERL) Identifies long-term trends in Electronic Resource Management Recommends best practices for the ERL role in modern libraries Contextualizes the current ERL role in historical and current developments Maps the ERL role to trends in technology, information services and the shifting professional identity of academic librarians

Public Library Administration Transformed

Developing the Organization and Empowering Users

Author: Karen Starr,Patrick Ragains

Publisher: Rowman & Littlefield

ISBN: 153810640X

Category: Language Arts & Disciplines

Page: 290

View: 2088


As society struggles with issues related to the scope and effectiveness of government, librarians must ask, “How and why will communities support public libraries in the future?” This book covers public library administration in a comprehensive and detailed manner.

Data Analytics for Smart Cities

Author: Amir Alavi,William G. Buttlar

Publisher: CRC Press

ISBN: 042978662X

Category: Computers

Page: 240

View: 5460


The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Shaping Future Schools with Digital Technology

An International Handbook

Author: Shengquan Yu,Hannele Niemi,Jon Mason

Publisher: Springer Nature

ISBN: 9811394393

Category: Education

Page: 239

View: 4268


This book presents an overview of education technology and its use in schools, with a primary emphasis on best practices of technology enhanced learning; how new technologies such as mobile, augmented and wearable technologies affect instructional design strategies; and the content curriculum development process. Providing insights into the future of education and the upcoming pedagogies that will be applied in schools, it helps educators and other stakeholders make innovations for the new generations of learners in the 21st century. The use of emerging technologies such as mobile and ubiquitous technologies, context-aware technology, augment-reality, and virtual reality is contributing to making education adaptive and smarter. With the ever-changing technologies, how to equip teachers with these digital skills and transform their teaching style is also important to ensure that school education is more individualised and customised for students. Offering a global perspective with integrated practical cases, this timely book is of interest to educators, teachers, and education policymakers. And although most of the authors are from the academia, it provides non-experts with a novel view of what future schools will be like with the help of technology.

Dealing with digital information richness in supply chain management

A review and a Big Data Analytics approach

Author: Kache, Florian

Publisher: kassel university press GmbH

ISBN: 3862199266


Page: 427

View: 5029


Information is one of the key enablers of modern business. The ever expanding availability of digital information, however, brings with it the challenge of handling this information appropriately. While related challenges now appear in our daily lives, this is even more the case along supply chains, where a multitude of actors is involved. This doctoral thesis addresses the topic by linking theoretical rigor with practical relevance. By assessing the current state of research in supply chain management represented in literature reviews, a range of under-represented areas of research as well as potential future research directions in the field of supply chain management are identified. Focusing on one selected exemplary under-represented area of research, the thesis takes the digital business transformation perspective, portraying the value and role of digital information in a business function context. As research on the intersection of Big Data Analytics and supply chain management is still scarce, the conceptual work offers first insights into an emerging topic, both on the internal operations level and on the supply chain level. This is beneficial from a scientific as well as a managerial perspective, as a thorough understanding of the constituents of a digital ecosystem is a key ingredient for the competitiveness and overall productivity of the company and ultimately of the supply chain as a whole.

Digital Nations – Smart Cities, Innovation, and Sustainability

16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Delhi, India, November 21–23, 2017, Proceedings

Author: Arpan Kumar Kar,P. Vigneswara Ilavarasan,M.P. Gupta,Yogesh K. Dwivedi,Matti Mäntymäki,Marijn Janssen,Antonis Simintiras,Salah Al-Sharhan

Publisher: Springer

ISBN: 3319685570

Category: Computers

Page: 526

View: 2530


This book constitutes the refereed conference proceedings of the 16th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2017, held in Delhi, India, in November 2017. The 45 revised full papers presented were carefully reviewed and selected from 92 submissions. They are organized in the following topical sections: Adoption of Smart Services; Assessment of ICT Enabled Smart Initiatives; Analytics for Smart Governance; Social Media and Web 3.0 for Smartness; and Smart Solutions for the Future.

Using Person-Centered Health Analytics to Live Longer

Leveraging Engagement, Behavior Change, and Technology for a Healthy Life

Author: Dwight McNeill

Publisher: FT Press

ISBN: 0133890147

Category: Computers

Page: 384

View: 1374


The American way of producing health is failing. It continues to rank very low among developed countries on our most vital need…to live a long and healthy life. Despite the well-intentioned actions on the part of government, life sciences, and technology, the most important resource for achieving our full health potential is ourselves. This book is about how you can do so, and how others can help you. Dwight McNeill introduces person-centered health analytics (pchA) and shows how you can use it to master five everyday behaviors that cause and perpetuate most chronic diseases. Using Person-Centered Health Analytics to Live Longer combines deep insight, a comprehensive framework, and practical tools for living longer and healthier lives. It offers a clear path forward for both individuals and stakeholders, including providers, payers, health promotion companies, technology innovators, government, and analytics practitioners.

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019

Author: Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari

Publisher: Springer

ISBN: 3030237567

Category: Computers

Page: 1392

View: 9550


This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Digital Technologies: Sustainable Innovations for Improving Teaching and Learning

Author: Demetrios Sampson,Dirk Ifenthaler,J. Michael Spector,Pedro Isaías

Publisher: Springer

ISBN: 3319734172

Category: Education

Page: 310

View: 845


The aim of this volume entitled Digital Technologies: Sustainable Innovations for improving Teaching and Learning is to contribute in the global discussion on digital technologies as the means to foster sustainable educational innovations for improving the teaching, learning and assessment from K-12 to Higher Education. It compiles papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) conference, which has as its goal continuing to address these challenges and promote the effective use of new tools and technologies to support teaching, learning and assessment. The book consists of four parts and showcases how emerging educational technologies and innovative practices have been used to address core global educational challenges; spanning from rethinking and transforming learning environments across educational contexts to effectively cultivating students’ competences for the digital smart society of the future. The book comprises Part I: Transforming the Learning Environment; Part II: Enriching student learning experiences; Part III: Measuring and Assessing Teaching and Learning with Educational Data Analytics; Part IV: Cultivating student competences for the digital Smart society. It targets researchers and research students, educational professional practitioners (including teachers, educators and education leaders) as well as education policy makers, who are interested in keeping up-to-date on the global development in this field.