Research-Evaluation-Learning

Clinical Instruction and Evaluation: A Teaching Resource, Third Edition is designed to guide instructors through the learning process by providing clinical nurses with the theoretical background and p

The Second Edition of Evaluation Strategies for Communicating and Reporting: Enhancing Learning in Organizations helps full-time evaluators and those with evaluation responsibilities successfully plan

PROGRAM EVALUATION, 6th Edition helps readers learn how to evaluate services and programs that they will encounter in their professional practice. In the process of learning evaluation techniques and

This collection of eighteen articles on online education showcases current scholarship in a variety of subject areas relating to the design and implementation of distance learning programs and other e

A sustainable measurement and evaluation process can help a workplace learning professional maintain her relevance to multiple stakeholders, increase his chances to survive and thrive in difficult tim

The UPPER AND LOWER EXTREMITY INJURY EVALUATION DVD is designed to reinforce clinical injury evaluation skills beyond the classroom. Proper injury evaluation requires extensive knowledge and hands-on

This book aims to account for how project learning and adaptation occurs through Developmental Evaluation (DE), especially under conditions of uncertainty, complexity and change. Drawing on enactive c

Building Evaluation Capacity provides 72 activities for learning how to design and conduct evaluation studies. These activities address the entire evaluation process. Each activity includes an overvi

Authors highlight and review the principles of evaluation and provide strateigies on how to implement evaluation in different learning situations.

"The term evaluation invokes a variety of emotions in people. Some people fear the thought of being held accountable through an evaluation process; others see the prospect of evaluation as challenging

THE ART AND SCIENCE OF LIVESTOCK EVALUATION prepares you for livestock selection. The main objective of the book is to provide instruction and evaluation on swine, cattle, horses and sheep, with sep

This brief and practical text is a perfect supplement for program planning and evaluation courses. Program planning, grant writing and program evaluation are discussed, with emphasis on the inter-rela

Learn how to develop tests that accurately measure participants’ skills in the context of credentialing and program evaluation.

The work presents a theoretical framework for the evaluation of e-Teaching that aims at positioning the online activities designed and developed by the teacher as to the Learning, Interaction and Tech

Building Evaluation Capacity, Second Edition provides ninety activities for learning about how to design and conduct evaluation studies. Hallie Preskill and Darlene Russ-Eft address the entire evaluat

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for c

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for c

Success in Evaluation takes a fundamentally different approach to the mainstream supply side discussion of evaluation quality, utilization, and learning. The contributors believe that a systematic foc