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Enhancements and Limitations to ICT-Based Informal Language Learning: Emerging Research and Opportunities
In today’s modernized world, digital technology has taken the forefront in all aspects of society, including education. Students have access to numerous electronic devices, which has made online learning materials highly accessible. These technological impacts have blurred the distinction between formal and informal language learning methods. Informally learned English has lost proficiency when assessing student performance. Sizable research is necessary to study and understand the informal methods of language learning using technology. Enhancements and Limitations to ICT-Based Informal Language Learning: Emerging Research and Opportunities is a pivotal reference source that provides vital...
Advances in Electronic Marketing
"This book addresses Internet marketing and the World Wide Web, and other electronic marketing tools such as geographic information systems, database marketing, and mobile advertising"--Provided by publisher.
Ensuring Adult and Non-Traditional Learners’ Success With Technology, Design, and Structure
With the increasing share of adult and non-traditional students in the higher education student body, higher education faculty and administrators must ensure that the design of programs, courses, and student services support the success of all students. The needs and wants of these adult and non-traditional learners will differ, and it is important that research helps advance the understanding of these students to increase their success, acclimation, and experience in institutions. Ensuring Adult and Non-Traditional Learners’ Success With Technology, Design, and Structure is designed to provide higher education professionals with current research and research-based best practices for ensur...
Blockchain Technologies and Applications for Digital Governance
Since its inception, blockchain has evolved to become a crucial trending technology that massively impacts the fast-paced digital world. It has been a game-changing technology that is underpinned with cryptocurrencies like Ethereum and Bitcoin that eventually closed the doors for hacking activities. As blockchain is utilized across areas such as banking, voting, finance, healthcare, and manufacturing, it is important to examine the current trends, difficulties, opportunities, and future directions in order to utilize its full potential. Blockchain Technologies and Applications for Digital Governance addresses the impacts and future trends of blockchain, particularly for digital governance, and demonstrates the applications of blockchain in digital governance using case studies. Covering a range of topics from cybersecurity to real estate tokenization, it is ideal for industry professionals, researchers, academicians, instructors, practitioners, and students.
Management and Marketing for Improved Competitiveness and Performance in the Healthcare Sector
The healthcare sector has never been under as much pressure as it is today. This pressure has motivated organizations to reinvent themselves, forcing management and marketing to take a more active role. Due to this reinvention, organizations must incorporate a stronger culture of management and marketing orientation that allows companies to define their course, optimize their resources, communicate with their stakeholders more efficiently, and encourage customers to become more involved with the company. This need is particularly urgent in the healthcare sector, as its weight in the economy has grown recently and it must prepare for economic recovery. Management and Marketing for Improved Co...
IT Crisisology Casebook
The book focuses on the real-world case-based crisis management in digital product development. This includes forecasting, responding, and agile engineering/management methods, patterns, and practices for sustainable development. This book introduces a set of case studies for sustainability in management as a blend, the components of which have been carefully selected from a few domains adjacent to digital production such as IT-intensive operation, human resource management, and knowledge engineering, to name a few. The key ingredients of this crisis management framework include information management, tradeoff optimization, agile product development, and knowledge transfer. The case studies...
Intelligent Systems and Technologies
Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statef...
Asset Management
In the past decades asset intensive companies have witnessed a number of regulatory changes and especially industry is facing ever increasing competitiveness. To overcome these challenges different asset management methods have been developed aimed to improve the asset life cycle. Especially the design phase and operation and maintenance phase have seen a rise in tools and methods. Smarter design can lead to improved operation. Likewise, improved operation and maintenance leads to lower replacement costs and may provide the basis for better design. This book brings together and coherently presents the current state of the art in asset management research and practice in Europe from a life cycle perspective. Each chapter focuses on specific parts of this life cycle and explains how the methods and techniques described are connected and how they improve the asset life cycle, thus treating this important subject from a unique perspective.
Pattern Recognition and Classification in Time Series Data
Patterns can be any number of items that occur repeatedly, whether in the behaviour of animals, humans, traffic, or even in the appearance of a design. As technologies continue to advance, recognizing, mimicking, and responding to all types of patterns becomes more precise. Pattern Recognition and Classification in Time Series Data focuses on intelligent methods and techniques for recognizing and storing dynamic patterns. Emphasizing topics related to artificial intelligence, pattern management, and algorithm development, in addition to practical examples and applications, this publication is an essential reference source for graduate students, researchers, and professionals in a variety of computer-related disciplines.
