Human Learning

"The market-leading education textbook on learning theories, Human Learning, Sixth Edition, covers a broad range of concepts and is supported by the author's lucid and engaging writing style, which helps readers learn the book's content meaningfully. In this new sixth edition, readers will find significant updates to reflect the most current research in the field, including: expansion of the chapter on cognition and memory; re-organization of content on Piaget and Vygotsky into two separate chapters; a core section on teaching critical-thinking skills; and the significantly revised discussion of technology-based instructed. Instructors and students alike can feel confident in learning about learning with this influential and best-selling author"--Publisher's website.

The Philosophy of Human Learning addresses current concerns with the nature of human learning from a distinctive philosophical perspective. Using insights derived from the work of Wittgenstein, it mounts a vigorous attack on influential contemporary accounts of learning, both in the 'romantic' Rousseauian tradition and in the 'scientific' cognotivist tradition. These two schools, Professor Winch argues, are more closely related than is commonly realised.

Learning is among the most basic of human activities. The study of, and research into, learning forms a central part of educational studies. The well-respected and established authors, Jarvis and Parker, not only focus on the psychological processes of human learning, but they also examine the importance of the relationship between the body and the mind. For the first time, this book considers how our neurological, biological, emotional and spiritual faculties all impact on human learning. Topics covered include: the biology of learning personality and human learning thinking and learning styles gender and human learning life cycle development and human learning emotional intelligence and learning morality and human learning learning in the social context. Drawing on material from the worlds of science and social science, and with contributions from international authors, this book will be of interest to academics in a wide range of disciplines.

This book assesses theories of learning across all ages to construct a new model for analysing how humans learn.

As interest grows in theories of lifelong learning not only across society but also as an area of serious academic study, the need has arisen for a thorough and critical study of the phenomenon. This distillation of the work of renowned writer Peter Jarvis addresses this need, looking at the processes involved in human learning from birth to old age and moving the field on from previous unsystematic and mainly psychological studies. Instead, Jarvis argues that learning is existential, and so its study must be complex and interdisciplinary. The result is a giant step towards building a complete and integrated theory of how humans learn, taking account of existing theories to see if they can be reconciled with a more complex model. Applying his expert analytical approach to this wide-ranging topic, Jarvis looks in detail at: learning in the social context the transformation of experience the outcomes of learning learning and action cognitive theories emotions and learning experiential learning.

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

This book is about human abilities and the ways in which people acquire and extend them. It contains many useful facts about people's learning and the mental processes that make it possible. Chapter one looks at the kinds of events that create learning, and identifies some important general principles of human learning. Chapter two examines the capabilities that children gain in their early years. They acquire a number of basic capacities that they can draw upon throughout life. These include language, reading, and numerical abilities. The acceleration of early abilities is also considered. Chapter three raises a number of intriguing questions about abilities. What exactly are they? What are their most important charactersitics? How can different capabilities and items of knowledge become joined to one another? The answers are surprisingly different from what common sense predicts.; Chapter four Considers The Important Contributions Of Motivation. A Person Has To Have good reasons for engaging in learning activities. Motivation supplies incentives for doing whatever is necessary in order to make learning happen. Chapter five investigates more advanced attainments. It looks at the effects of practising and other ways in which individuals extend their expertise. The use of memory aids and learning techniques is examined. Other topics include the influence of intelligence, creativity, the possible roles of innate gifts and talents, and child prodigies and geniuses. The best way to apply discoveries concerning learning and the acquisition of abilities is to use them for our own daily activities. Chapter six addresses the question of how to learn and study more effectively. It introduces ways of reading more effectively, and gives advice on improving writing skills and studying for exams. The aim here is to help the reader to succeed better at gaining needed capabilities.

Mrs Gribbin invites you to join her as she explores the changing landscape of learning theories and their implications.