Learning Curves
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Learning Curves
Written by international contributors, Learning Curves: Theory, Models, and Applications first draws a learning map that shows where learning is involved within organizations, then examines how it can be sustained, perfected, and accelerated. The book reviews empirical findings in the literature in terms of different sources for learning and partia
Learning Curves
Full of tips, tricks and suggestions for exercises, the goal is a book that you will be able to use for inspiration and guidance throughout your design career. Areas covered by the book include reasons to sketch, learning to observe and explore objects around you, drawing theory, finding the right mindset for drawing, trying different materials, using your sketches to communicate effectively, creating highly emotive images to engage and attract your audience, and finally what sketches to use at each stage of the design process. Containing work from over 60 designers, covering diverse fields such as product, automotive and fashion design, the result is a distinct and up to date collection of artwork put together to stimulate and inspire your creativity regardless of your current skill level.
HUMAN LEARNING: From Learning Curves to Learning Organizations
Author: Ezey M. Dar-El
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-14
Learning plays a fundamental role in the production planning and growth of all organizations. With the need for more rapid changes in the global economy, the management of organizational change is a key factor in sustaining competitiveness in today's economy. This book has been developed with these `learning needs' in mind. Human Learning:From Learning Curves to Learning Organizations covers a broad range of learning models and related topics beginning with learning curves to recent research on learning organizations. The book's focus is to enable researchers and practitioners to forecast any organization's `learning needs' using the prediction aspects of an array of learning models. The book includes research and application discussions on topics such as accounting for previous experience; the `learning-forgetting-relearning' phenomenon; parameter estimation with no previous experience; DeJong's incompressibility model; predictive learning models requiring only two learning parameters; long learning cycle times; the speed-error relationship; evaluating the cost of learning from the point of view of safety; and an examination of Learning Organizations. Each chapter is developed from published research and worked examples are used throughout.