Enhancing Knowledge Discovery And Innovation In The Digital Era

With the dawn of electronic databases, information technologies, and the Internet, organizations, now more than ever, have easy access to all the knowledge they need to conduct their business. However, utilizing and detecting the beneficial information can pose as a challenge. Enhancing Knowledge Discovery and Innovation in the Digital Era is a vibrant reference source on the latest research on student education, open information, technology enhanced learning (TEL), and student outcomes. Featuring widespread coverage across a range of applicable perspectives and topics, such as engineering education, data mining, and 3D printing, this book is ideally designed for professionals, upper-level students, and academics seeking current research on knowledge management and innovation networks.

The fast-paced world created by the accessibility of consumer information through internet-generated data requires improved information-management platforms. The continuous evaluation and evolution of these systems facilitate enhanced data reference and output. Optimizing Data and New Methods for Efficient Knowledge Discovery and Information Resources Management is a critical research publication that provides insight into the varied and rapidly changing fields of knowledge discovery and information resource management. Highlighting a range of topics such as datamining, artificial intelligence, and risk assessment, this book is essential for librarians, academicians, policymakers, information managers, professionals, and researchers in fields that include artificial intelligence, knowledge discovery, data visualization, big data, and information resources management.

With the immense growth of information, the prevalence of ubiquitously connected smart devices is rapidly increasing. Providing platforms that support computation, storage, and networking services between end devices is an essential aspect of an expanding digital society. The Rise of Fog Computing in the Digital Era provides innovative insights into the present generation of computing devices, as well as new approaches to computational platforms through fog computing. The content within this publication presents concepts and theories on data analytics, management systems, networking architectures, and many more. It is a vital reference source for IT professionals, computer programmers, software developers, computer engineers, researchers, and upper-level students seeking topics centered on the challenges and benefits of fog computing in mobile environments.

This edited volume examines the implications of COVID-19 on distance and online learning, discussing how the move to online teaching and learning modes proved to be a source of immense institutional, organizational, and educational challenges. With chapters grounded in theoretical and methodological approaches pertinent to education and pedagogy, the book explores the relevance of theory to the educational situation brought about by the pandemic and highlights the specific issues and challenges that distance learning has to account for in crisis situations. Key topics discussed include innovations and best practices in online learning, research, and management; developments in computer-supported collaborative learning, training, and research; the use of intelligent tutoring and mentoring systems in times of crisis; the role of university leadership and users’ perceptions and attitudes to online teaching and learning. The book offers fresh insights into the specificity of distance learning in a pandemic and its effects in established working patterns. It will be highly relevant reading for academics, researchers, and post-graduate students in the fields of online learning, distance learning, educational technology, and pedagogy, as well as university administrators and those directly involved in online teaching.

This book explores the effective use of information and communication technology (ICT) in teaching and learning. Concept-laden and practice-driven discussions offer insights into the art and practice of employing virtual and augmented reality (VR/AR), electronic devices, social networks and massive open online courses (MOOCs) in education.

The experts and practitioners contributing to this volume reveal a complex reality of HEI today. The book links the debate on education to topical issues in politics, society and economy, including questions of technological progress, social responsibility, sustainability, well-being and, broadly understood, resilience.

Complete guidance for mastering the tools and techniques ofthe digital revolution With the digital revolution opening up tremendous opportunitiesin many fields, there is a growing need for skilled professionalswho can develop data-intensive systems and extract information andknowledge from them. This book frames for the first time a newsystematic approach for tackling the challenges of data-intensivecomputing, providing decision makers and technical experts alikewith practical tools for dealing with our exploding datacollections. Emphasizing data-intensive thinking and interdisciplinarycollaboration, The Data Bonanza: Improving Knowledge Discoveryin Science, Engineering, and Business examines the essentialcomponents of knowledge discovery, surveys many of the currentresearch efforts worldwide, and points to new areas for innovation.Complete with a wealth of examples and DISPEL-based methodsdemonstrating how to gain more from data in real-world systems, thebook: Outlines the concepts and rationale for implementingdata-intensive computing in organizations Covers from the ground up problem-solving strategies for dataanalysis in a data-rich world Introduces techniques for data-intensive engineering using theData-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations,environmental hazards, seismology, and more Showcases successful applications in areas ranging fromastronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well asadditional materials on a companion website The Data Bonanza is a must-have guide for informationstrategists, data analysts, and engineers in business, research,and government, and for anyone wishing to be on the cutting edge ofdata mining, machine learning, databases, distributed systems, orlarge-scale computing.

The ways in which codified and tacit knowledge are sourced, transferred, and combined are critical in furthering open innovation. When used effectively, knowledge sharing and organizational success are significantly increased, improving products and services. The Role of Knowledge Transfer in Open Innovation is a collection of innovative research on a set of analyses, reflections, and recommendations within the framework of knowledge transfer practices in different areas of knowledge and in various industries. While highlighting topics including tacit knowledge, organizational culture, and knowledge representation, this book is ideally designed for professionals, academicians, and researchers seeking current research on the best practices for transfer of knowledge as an intermediate open innovation.