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Mixed Methods Social Network Analysis
Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation. This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", pr...
Multi-dimensional Transitions of International Students to Higher Education
International students experience multiple and multi-dimensional educational and life transitions: moving to a new country, moving to a new educational system and moving to higher educational degree programmes. Within these transitions, they experience differences in the social and organisational cultures, languages, and interpersonal expectations, realities and relationships. Their transitions also lead to, and interact with, transitions of professionals, home students and their families. Multi-dimensional Transitions of International Students to Higher Education provides up-to-date literature, research and theoretical constructs that underpin international students’ transitions to Higher...
Multi-dimensional Transitions of International Students to Higher Education
International students experience multiple and multi-dimensional educational and life transitions: moving to a new country, moving to a new educational system and moving to higher educational degree programmes. Within these transitions, they experience differences in the social and organisational cultures, languages, and interpersonal expectations, realities and relationships. Their transitions also lead to, and interact with, transitions of professionals, home students and their families. Multi-dimensional Transitions of International Students to Higher Education provides up-to-date literature, research and theoretical constructs that underpin international students’ transitions to Higher...
Machine Learning Paradigms
This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
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.
Adoption of Data Analytics in Higher Education Learning and Teaching
The book aims to advance global knowledge and practice in applying data science to transform higher education learning and teaching to improve personalization, access and effectiveness of education for all. Currently, higher education institutions and involved stakeholders can derive multiple benefits from educational data mining and learning analytics by using different data analytics strategies to produce summative, real-time, and predictive or prescriptive insights and recommendations. Educational data mining refers to the process of extracting useful information out of a large collection of complex educational datasets while learning analytics emphasizes insights and responses to real-ti...
Evaluating the impact of virtual exchange on initial teacher education: a European policy experiment
Virtual exchange refers to education programmes in which constructive communication and interaction takes place between individuals or groups from different cultural backgrounds with the support of educators or facilitators. Evaluating and Upscaling Telecollaborative Teacher Education (EVALUATE, http://www.evaluateproject.eu/) was a European policy experimentation financed by Erasmus+ which studied the impact of a telecollaborative model of virtual exchange on student teachers. Between 2017-2018, the project consortium trained teacher trainers and organised virtual exchanges which involved over 1,000 student teachers at initial teacher education institutions. This entailed students interacti...
Educational visions
What have been the biggest successes in educational technology – and why have they succeeded when others have failed? Educational Visions shows how innovations including citizen science, learning at scale, inclusive education, learning design and analytics have developed over decades. The book is shaped by the visions pursued by one research group for the past 40 years. It outlines the group’s framework for innovation and shows how this can be put into practice to achieve long-term results that benefit both students and teachers at every educational level.
Educational Communities of Inquiry: Theoretical Framework, Research and Practice
Communications technologies have been continuously integrated into learning and training environments which has revealed the need for a clear understanding of the process. The Community of Inquiry (COI) Theoretical Framework has a philosophical foundation which provides planned guidelines and principles to development useful learning environments and guarantees successful educational experiences. Educational Communities of Inquiry: Theoretical Framework, Research, and Practice is an extensive reference that offers theoretical foundations and developments associated with the COl theoretical framework. This collection is a valuable source of ideas, research opportunities, and challenges for scholars and practitioners in the field of education technology.
Open World Learning
This book provides state-of-the-art contemporary research insights into key applications and processes in open world learning. Open world learning seeks to understand access to education, structures, and the presence of dialogue and support systems. It explores how the application of open world and educational technologies can be used to create opportunities for open and high-quality education. Presenting ground-breaking research from an award winning Leverhulme doctoral training programme, the book provides several integrated and cohesive perspectives of the affordances and limitations of open world learning. The chapters feature a wide range of open world learning topics, ranging from theo...
