Handbook Of Research On Culturally Aware Information Technology Perspectives And Models

"This book provides readers with the possibility of acquiring in-depth knowledge of the theoretical and technological research conducted in IT in relation to culture"-- Library of Congress.

May the Forcing Functions be with You: The Stimulating World of AIED and ITS Research It is my pleasure to write the foreword for Advances in Intelligent Tutoring S- tems. This collection, with contributions from leading researchers in the field of artificial intelligence in education (AIED), constitutes an overview of the many challenging research problems that must be solved in order to build a truly intel- gent tutoring system (ITS). The book not only describes some of the approaches and techniques that have been explored to meet these challenges, but also some of the systems that have actually been built and deployed in this effort. As discussed in the Introduction (Chapter 1), the terms “AIED” and “ITS” are often used int- changeably, and there is a large overlap in the researchers devoted to exploring this common field. In this foreword, I will use the term “AIED” to refer to the - search area, and the term “ITS” to refer to the particular kind of system that AIED researchers build. It has often been said that AIED is “AI-complete” in that to produce a tutoring system as sophisticated and effective as a human tutor requires solving the entire gamut of artificial intelligence research (AI) problems.

"The 2nd edition of the Dictionary of Information Science and Technology is an updated compilation of the latest terms and definitions, along with reference citations, as they pertain to all aspects of the information and technology field"--Provided by publisher.

The 4th edition of the Handbook of Research on Educational Communications and Technology expands upon the previous 3 versions, providing a comprehensive update on research pertaining to new and emerging educational technologies. Chapters that are no longer pertinent have been eliminated in this edition, with most chapters being completely rewritten, expanded, and updated Additionally, new chapters pertaining to research methodologies in educational technology have been added due to expressed reader interest. Each chapter now contains an extensive literature review, documenting and explaining the most recent, outstanding research, including major findings and methodologies employed. The Handbook authors continue to be international leaders in their respective fields; the list is cross disciplinary by design and great effort was taken to invite authors outside of the traditional instructional design and technology community.

"This book shows how partnerships can be cultivated through projects, programming, funding, and extending the library's presence through unique avenues, offering librarians a better understanding of what might be possible for their situational requirements and limitations"--Provided by publisher.

With the rise of distance education in the post-modern world, progressive research on the best methods, tools, and technologies in the field is necessary to continue to take advantage of the pedagogical opportunities and improvements offered through remote learning platforms. The Handbook of Research on Emerging Priorities and Trends in Distance Education: Communication, Pedagogy, and Technology focuses on the latest innovations and technological developments surrounding distance learning, instructional design, and computer-mediated communication in educational settings. This comprehensive research work will be of use to teachers, academicians, IT developers, upper-level students, and school administrators interested in the latest trends in online learning.

The Development of Personal Learning Environments in Higher Education explores how today’s knowledge-based, learner-centered virtual platforms, which often limit teaching to a complimentary facilitation role, can compromise with the requirements and regulations of colleges and universities. Personal Learning Environments (PLEs) driven by culturally responsive teaching and learner autonomy represent a shift in the higher education paradigm, but how can scholars, designers, administrators, and faculty ensure effective, institutionally compatible construction and management of these systems? This book offers forward-thinking insights into the variety of student-centered learning interactions, particularly culturally and linguistically responsive pedagogies, that can be integrated into PLEs. Attending to quality assessment rubrics, the nuances of stakeholders’ needs, and theoretically sound frameworks, these cross-cultural, interdisciplinary chapters explore how leaders, instructors, technologists, and learners can form a precise yet flexible ecosystem to fully realize PLEs in which co-created, intercultural narratives yield rich, relevant digital learning experiences.

This book brings together the fields of artificial intelligence (often known as A.I.) and inclusive education in order to speculate on the future of teaching and learning in increasingly diverse social, cultural, emotional, and linguistic educational contexts. This book addresses a pressing need to understand how future educational practices can promote equity and equality, while at the same time adopting A.I. systems that are oriented towards automation, standardisation and efficiency. The contributions in this edited volume appeal to scholars and students with an interest in forming a critical understanding of the development of A.I. for education, as well as an interest in how the processes of inclusive education might be shaped by future technologies. Grounded in theoretical engagement, establishing key challenges for future practice, and outlining the latest research, this book offers a comprehensive overview of the complex issues arising from the convergence of A.I. technologies and the necessity of developing inclusive teaching and learning. To date, there has been little in the way of direct association between research and practice in these domains: A.I. has been a predominantly technical field of research and development, and while intelligent computer systems and ‘smart’ software are being increasingly applied in many areas of industry, economics, social life, and education itself, a specific engagement with the agenda of inclusion appears lacking. Although such technology offers exciting possibilities for education, including software that is designed to ‘personalise’ learning or adapt to learner behaviours, these developments are accompanied by growing concerns about the in-built biases involved in machine learning techniques driven by ‘big data’.