Transformation Of Knowledge Information And Data

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Transformation of Knowledge, Information and Data

This book considers transformations within the context of computing science and information science, as they are essential in changing organizations. It not only considers transformations of structured models, rather, the transformation of instances (i.e. the actual contents of those structures) is addressed as well.
Digital Transformation and Knowledge Management

Knowledge capital is at the core of the socio-economic global system. Profit and not-for profit firms, institutions, and organizations, in general, face unique opportunities and threats related to knowledge management. Digital technologies and digital transformation offer a wide array of opportunities for value creation. At the same time, organizations need to foster newer, faster, and more dynamic ways of mobilizing and managing knowledge. Emerging trends, such as artificial intelligence, collective intelligence, agile methodologies, open innovation, and co-creation enable new business models and managerial paradigms that need to be understood and conceptualized. This book offers an extensive overview of the most recent trends in knowledge management and the most advanced theoretical approaches, while, at the same time, providing a wide array of case studies and evidence-based knowledge management practices. It takes into account the interrelation between ICT and knowledge management challenges, in terms of human/non-human interactions, which requires extraordinary organizational change and renewal. Further, the book presents an up-to-date examination of and guidance for the implementation of knowledge management in an era of unprecedented human/non-human interaction. The book conveys the results of more than a decade of research and applied experience in the field of knowledge management carried out by the author. It is intended not only for students and academics but also for managers and practitioners who are interested in deepening their understanding of knowledge and learning.
Transforming Data Into Knowledge

Author: Jeffrey C. Wayman
language: en
Publisher: Taylor & Francis
Release Date: 2024-08-30
This Special Issue includes works on linking data and learning, using student-assessment results, data mining, data decision making for teachers, identifying student's needs with technology and data use in urban high schools. The goals of the Journal of Education for Students Placed At Risk (JESPAR) are to provide the best research-based information possible to professionals involved with improving the education of students placed at risk and to promote the use of that information through effective communications among researchers, policymakers, and practitioners in the field. JESPAR publishes articles geared to academic researchers, policy analysts, and especially to practitioners regarding practical, research-based progress in the field of education for students placed at risk. The journal offers refereed research articles on promising programs; descriptions of promising programs in the field; case studies of schools that work; literature reviews; book and report reviews; regular communications on Title I regulations; and school and district practices from federal, state, and local perspectives.