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Learning Analytics in Open and Distributed Learning
This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the “data revolution” and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book’s conceptual rationale, the book discusses the potential, challenges and practices of learning analytics in various open and distributed contexts. A concluding chapter briefly summarises the chapters before providing a tentative future research agenda for learning analytics in open and distributed environments.
Reaching Diverse Audiences with Virtual Reference and Instruction
Reaching Diverse Audiences with Virtual Reference and Instruction features practical advice for teaching and serving diverse audiences using a mix of new technologies and old-school librarianship. The guidebook aims to provide a range of options that can be adapted for your community’s needs.
Governing Privacy in Knowledge Commons
Explores the complex relationships between privacy, governance, and the production and sharing of knowledge. This title is also available as Open Access on Cambridge Core.
Big Data and Learning Analytics in Higher Education
This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns.
Using Data to Improve Higher Education
In recent decades, higher education systems and institutions have been called to respond to an unprecedented number of challenges. Major challenges
Cross Cultural Teaching and Learning for Home and International Students
This book maps and discusses the increasing internationalisation of teaching and learning at universities around the world. This phenomenon brings both opportunities and challenges, introducing what can be radically different teaching, learning and assessment contexts.
The Ethics of Artificial Intelligence in Education
The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.
Information Services for a Sustainable Society
The publication seeks to establish how information professionals are providing information services in in a sustainable society in an era of information disorder. It also provides the strategic direction to strengthen the global voice of libraries, inspiring and enhancing professional practice as well as enhancing international cooperation and collaboration among LIS educators and practitioners. The contents is divided according to the following key sub-themes that resonate with the title as outlined below: Library and information services in the information age Data and records in an era of information disorder Archives, data curation and preservation in the digital era Data science, analyt...
Developing Effective Educational Experiences through Learning Analytics
The quality of students’ learning experiences is a critical concern for all higher education institutions. With the assistance of modern technological advances, educational establishments have the capability to better understand the strengths and weaknesses of their learning programs. Developing Effective Educational Experiences through Learning Analytics is a pivotal reference source that focuses on the adoption of data mining and analysis techniques in academic institutions, examining how this collected information is utilized to improve the outcome of student learning. Highlighting the relevance of data analytics to current educational practices, this book is ideally designed for researchers, practitioners, and professionals actively involved in higher education settings.
