Associations between reading and mathematics :genetic, brain imaging, cogniti…

Converging evidence demonstrates a strong link between reading and mathematics: multiple cognitive processes are shared between reading and mathematics, including the representation and retrieval of symbolic information, attention, working memory, and cognitive control. Additionally, multiple brain networks are involved in both math and reading, and last, common genetic factors might influence …

Self-directed learning research :an imperative for transforming the education…

This book will benefit specialists in the field of the education sciences. It represents significant progress in knowledge production. Self-directed learning has become increasingly important, not only for education in South Africa but also for education sciences in the international arena. This is a result of the changing education landscape, caused by the demands of the 21st century as well a…

Responsive open learning environments :outcomes of research from the ROLE Pro…

This book presents the outcomes of four years of educational research in the EU-supported project called ROLE (Responsive Online Learning Environments). ROLE technology is centered around the concept of self-regulated learning that creates responsible learners, who are capable of critical thinking and able to plan their own learning processes. ROLE allows learners to independently search for ap…

Teaching crowds :learning and social media

Within the rapidly expanding field of educational technology, learners and educators must confront a seemingly overwhelming selection of tools designed to deliver and facilitate both online and blended learning. Many of these tools assume that learning is configured and delivered in closed contexts, through learning management systems (LMS). However, while traditional "classroom" learning is by…

Teaching in blended learning environments:Creating and sustaining communities…

Edition

-

ISBN/ISSN

9781927356487

Collation

x, 142p.: ill.

Series Title

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Call Number

371.3 vau t

Planning and analyzing teaching:using the variation theory of learning

Using illustrative teaching case studies, this book demonstrates how teaching informed by a learning theory, specifically variation theory, can equip teachers to facilitate possibilities for students' learning in effective and powerful ways. For a long period of time teaching has been "black-boxed", in favour of other explanations of why students learn or not, such as motivation and social inte…

Ancient knowledge networks :a social geography of cuneiform scholarship in fi…

Ancient Knowledge Networks is a book about how knowledge travels, in minds and bodies as well as in writings. It explores the forms knowledge takes and the meanings it accrues, and how these meanings are shaped by the peoples who use it. Addressing the relationships between political power, family ties, religious commitments and literate scholarship in the ancient Middle East of the first mill…

Co-creation for responsible research and innovation :experimenting with desig…

This open access book summarizes research being pursued within the SISCODE (Society in Innovation and Science through CO-DEsign) project, funded by the EU under the H2020 programme, the goal of which is to set up an analytical, reflective and learning framework to explore the transformations in initiatives and policies emerging from the interaction between citizens and stakeholders. The book pr…

Self-directed learning :an imperative for education in a complex society

This book on self-directed learning (SDL) is devoted to original academic scholarship within the field of education, and is the 6th volume in the North-West University (NWU) SDL book series. In this book the authors explore how self-directed learning can be considered an imperative for education in a complex modern society. Although each chapter represents independent research in the field of s…

XxAI - beyond explainable AI :International Workshop, Held in Conjunction wit…

Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …