Traditional Learning Theories, Process Philosophy and AI

Traditional Learning Theories, Process Philosophy and AI PDF

Author: Katie Anderson

Publisher: Chromatika

Published: 2019-05-14

Total Pages:

ISBN-13: 9782930517605

DOWNLOAD EBOOK →

Artificial intelligence research connected with learning theory ("deep learning," “machine learning,” analysis of the quality of learning, etc.) has existed for many years; however, there have been few investigations in that area conducted from a robust philosophical methodological basis.

Advances in Intelligent Systems Research and Innovation

Advances in Intelligent Systems Research and Innovation PDF

Author: Vassil Sgurev

Publisher: Springer Nature

Published: 2021-11-03

Total Pages: 489

ISBN-13: 3030781240

DOWNLOAD EBOOK →

This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine learning, and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues. The considered intelligent part is essential in most smart/control systems, cyber security, bioinformatics, virtual reality, robotics, mathematical modelling projects, and its significance rapidly increases in other technologies. Theoretical foundations of fuzzy sets, mathematical and non-classical logic also are rapidly developing.

Learning in Adulthood

Learning in Adulthood PDF

Author: Sharan B. Merriam

Publisher: John Wiley & Sons

Published: 2020-01-06

Total Pages: 592

ISBN-13: 1119490510

DOWNLOAD EBOOK →

The new edition of the authoritative book in the field of adult education — fully revised to reflect the latest research and practice implications. For nearly three decades, Learning in Adulthood has been the definitive guide in the field of adult education. Now in its fourth edition, this comprehensive volume is fully revised to reflect the latest developments in theory, research, and practice. The authors integrate foundational research and current knowledge to present fresh, original perspectives on teaching and learning in adulthood. Written by internationally-recognized experts, this market-leading guide draws from work in sociology, philosophy, critical social theory, psychology, and education to provide an inclusive overview of adult learning. Designed primarily for educators of adults, this book is accessible for readers new to adult education, yet suitably rigorous for those more familiar with the subject. Content is organized into four practical parts, covering topics such as the social context of adult learning, self-directed and transformational learning, postmodern and feminist perspectives, cognitive development in adulthood, and more. Offering the most comprehensive single-volume treatment of adult learning available, this landmark text: Offers a wide-ranging perspective on adult learning Synthesizes the latest thinking and work in the field Includes coverage of the sociocultural perspectives of adult learning Explores the broader social implications of adult education Learning in Adulthood: A Comprehensive Guide, 4th Edition is an indispensable resource for educators and administrators involved in teaching adults, as well as faculty and students in graduate programs in adult education.

Artificial Intelligence and Scientific Method

Artificial Intelligence and Scientific Method PDF

Author: Donald Gillies

Publisher: OUP Oxford

Published: 1996-09-05

Total Pages: 190

ISBN-13: 9780198751588

DOWNLOAD EBOOK →

Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gödel, Popper, Penrose, and Lucas, to address the hotly contested question of whether computers might become intellectually superior to human beings.

Philosophy and Theory of Artificial Intelligence

Philosophy and Theory of Artificial Intelligence PDF

Author: Vincent C. Müller

Publisher: Springer Science & Business Media

Published: 2012-08-23

Total Pages: 413

ISBN-13: 3642316743

DOWNLOAD EBOOK →

Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.

Artificial Intelligence in Education

Artificial Intelligence in Education PDF

Author: Wayne Holmes

Publisher:

Published: 2019-02-28

Total Pages: 244

ISBN-13: 9781794293700

DOWNLOAD EBOOK →

"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet

Artificial Intelligence, Human Agency and the Educational Leader

Artificial Intelligence, Human Agency and the Educational Leader PDF

Author: Rosemary Papa

Publisher: Springer Nature

Published: 2021-12-06

Total Pages: 190

ISBN-13: 3030776107

DOWNLOAD EBOOK →

This book includes contributions by scholars from a variety of disciplines, the dialogue and discourse on how AI (artificial intelligence) development includes and/or excludes pedagogical educational learning theories focused on the learner. A call from Educational Leaders Without Borders (ELWB) was issued to scholars from across the globe who were asked to write a vignette described as an evocative description or account on how education leaders envision education in 2051 and A.I. beyond mere product purchase. These vignettes should engage us in questions as to how the development and use of AI technologies are shaped. As educators who believe education should be established on social justice beliefs and practices, our review of literature shows there are no books addressing the complexities of A.I. development and the role of educators. The futuristic element is unique in its approach to imagine a socially just better world in which to inspire educators. This unique feature encourages creativity in how one addresses the call to imagine a future world and our role as educators in that world.

How People Learn

How People Learn PDF

Author: National Research Council

Publisher: National Academies Press

Published: 2000-08-11

Total Pages: 386

ISBN-13: 0309131979

DOWNLOAD EBOOK →

First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.

Understanding Machine Learning

Understanding Machine Learning PDF

Author: Shai Shalev-Shwartz

Publisher: Cambridge University Press

Published: 2014-05-19

Total Pages: 415

ISBN-13: 1107057132

DOWNLOAD EBOOK →

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.