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The goal of This book is to describe how you can adopt the results of solid performance research and turn it into practical, and cost-beneficial performance results for your organization. A review of this book by Dr. Brenda Sugrue (currently Director of Instructional Systems for Ford Motor Company-formerly a training manager for IBM and a professor at the University of Iowa) described it in the following way: This book is all you need to understand the process of performance improvement in organizations, and the "active ingredients" that impact performance. The book separates the snake oil and fads from solutions that are supported by research. It gives clear and research-based guidelines for diagnosing the causes of performance gaps and selecting solutions for knowledge, motivation, and organizational problems. Case studies illustrate the application of the model and rules. In addition, the book describes how to reliably and validly evaluate the effects of performance solutions and identifies flaws in some common approaches to evaluation. The book answers the kinds of "why" and "what if " questions that rarely get addressed. It includes a powerful model of motivated performance that can be used to address any motivational problems. (It provides the reader with) the arguments and references to support organizational development and training practices and also the arguments and evidence to abandon practices that have been shown to either be ineffective or to do more harm than good. If you want to understand why what you are doing works (or doesn't work), you need to read this book. It is unlike any other to date in the field of performance improvement and training. It takes the profession to a higher level and is a must for anyone working in the area of organizational development, performance improvement, or training.
Handling complexity in learning environments: theory and research
As a tribute to Joost Lowyck, professor educational technology
at the K.U.Leuven, eminent scholars from around the globe have
contributed to a far reaching analysis of complexity in learning
environments from a cognitive perspective. The chapter authors
summarize what we know now about complexity and make specific
suggestions for educational practice and for future research on
complexity. The different contributions in the several chapters
discuss theoretical accounts and empirical findings about learning,
the learner, and learning environments. Wide-ranging topics include
current descriptions of our cognitive architecture, new
contributions to cognitive load theory, research and evaluation
design considerations, motivation to learn, the influence of prior
knowledge, the use of simulations and multimedia, alternative
instructional methods and interventions, studies of the classroom
context for complex learning and mental model-building.
Richard Clark's observation that ..".media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in our nutrition" is as misunderstood today as it was when first published in the Review of Educational Research in 1983. The convincing if little read scientific evidence presented by Clark has divided the field and caused considerable concern, especially among the providers of newer media for learning. A collection of writings about the "media effects debate," as it has come to be called, was published in 2001. Edited by Clark, Learning From Media was the first volume in the series "Perspectives in Instructional Technology and Distance Education." The series editors are convinced that the writings of Clark and those who take issue with his position are of critical importance to the field of instructional technology, Thus, a revised, second edition of Learning From Media is now being offered. The debate about the impact of media on learning remains a fundamental issue as new mediated approaches to teaching and learning are developed, and Clark's work should be at the center of the discussion. The critical articles on both sides of this debate are contained in Learning From Media, 2nd Edition.
Richard Clark's observation that ..".media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in our nutrition" is as misunderstood today as it was when first published in the Review of Educational Research in 1983. The convincing if little read scientific evidence presented by Clark has divided the field and caused considerable concern, especially among the providers of newer media for learning. A collection of writings about the "media effects debate," as it has come to be called, was published in 2001. Edited by Clark, Learning From Media was the first volume in the series "Perspectives in Instructional Technology and Distance Education." The series editors are convinced that the writings of Clark and those who take issue with his position are of critical importance to the field of instructional technology, Thus, a revised, second edition of Learning From Media is now being offered. The debate about the impact of media on learning remains a fundamental issue as new mediated approaches to teaching and learning are developed, and Clark's work should be at the center of the discussion. The critical articles on both sides of this debate are contained in Learning From Media, 2nd Edition.
This volume incorporates essays questioning the meta-analyses of computer-based instruction research, Robert Kozma's counterpoint theory of learning with media, science-based technology verus experience-based craft and science-based authentic technologies.
This volume incorporates essays questioning the meta-analyses of computer-based instruction research, Robert Kozma's counterpoint theory of learning with media, science-based technology verus experience-based craft and science-based authentic technologies.
This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners' experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than "analyzing learning data"-it is about deeply understanding what learning activities work well, for whom, and when. Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners' progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by "shiny" technologies that are disconnected from how human learning and development actually work.
This book provides a comprehensive introduction by an extraordinary range of experts to the recent and rapidly developing field of learning analytics. Some of the finest current thinkers about ways to interpret and benefit from the increasing amount of evidence from learners' experiences have taken time to explain their methods, describe examples, and point out new underpinnings for the field. Together, they show how this new field has the potential to dramatically increase learner success through deeper understanding of the academic, social-emotional, motivational, identity and meta-cognitive context each learner uniquely brings. Learning analytics is much more than "analyzing learning data"-it is about deeply understanding what learning activities work well, for whom, and when. Learning Analytics in Education provides an essential framework, as well as guidance and examples, for a wide range of professionals interested in the future of learning. If you are already involved in learning analytics, or otherwise trying to use an increasing density of evidence to understand learners' progress, these leading thinkers in the field may give you new insights. If you are engaged in teaching at any level, or training future teachers/faculty for this new, increasingly technology-enhanced learning world, and want some sense of the potential opportunities (and pitfalls) of what technology can bring to your teaching and students, these forward-thinking leaders can spark your imagination. If you are involved in research around uses of technology, improving learning measurements, better ways to use evidence to improve learning, or in more deeply understanding human learning itself, you will find additional ideas and insights from some of the best thinkers in the field here. If you are involved in making administrative or policy decisions about learning, you will find new ideas (and dilemmas) coming your way from inevitable changes in how we design and deliver instruction, how we measure the outcomes, and how we provide feedback to students, teachers, developers, administrators, and policy-makers. For all these players, the trick will be to get the most out of all the new developments to efficiently and effectively improve learning performance, without getting distracted by "shiny" technologies that are disconnected from how human learning and development actually work.
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