How do I know if Learning and Development (L&D) initiatives are making a difference to employee and business performance? What should I measure and how do I take a data-driven approach? Learning Metrics is a practical book for L&D professionals which answers these questions and provides guidance for measuring and communicating the impact of L&D activity in the business. It covers how to measure participant engagement with learning, learning retention and changes in employee performance post-learning. There is also guidance on how to measure on-the-job behaviour change as a result of learning, as well as metrics for measuring the organizational impact of learning. This book also has essential guidance on how to use learning analytics to assess the return on investment (ROI) of learning and how to use these results to adopt a data-driven approach and map learning metrics to organizational KPIs. Learning Metrics also includes guidance on how to communicate the impact of the company's learning and development activity to all business stakeholders. Full of practical guidance, examples, advice and case studies from organizations including Pfizer, Goldman Sachs, HSBC, Merck and Hewlett Packard, this is essential reading for all L&D professionals needing to measure the impact of L&D activity in the business but not sure where to start.

The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, defense, and more. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles, algorithms, and tools to transform vast amounts of raw data efficiently into information and knowledge representation. The first comprehensive look at this new branch of machine learning, this book offers a critical review of the problem of imbalanced learning, covering the state of the art in techniques, principles, and real-world applications. Featuring contributions from experts in both academia and industry, Imbalanced Learning: Foundations, Algorithms, and Applications provides chapter coverage on: Foundations of Imbalanced Learning Imbalanced Datasets: From Sampling to Classifiers Ensemble Methods for Class Imbalance Learning Class Imbalance Learning Methods for Support Vector Machines Class Imbalance and Active Learning Nonstationary Stream Data Learning with Imbalanced Class Distribution Assessment Metrics for Imbalanced Learning Imbalanced Learning: Foundations, Algorithms, and Applications will help scientists and engineers learn how to tackle the problem of learning from imbalanced datasets, and gain insight into current developments in the field as well as future research directions.

How the obsession with quantifying human performance threatens business, medicine, education, government—and the quality of our lives Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself—and this tyranny of metrics now threatens the quality of our organizations and lives. In this brief, accessible, and powerful book, Jerry Muller uncovers the damage metrics are causing and shows how we can begin to fix the problem. Filled with examples from business, medicine, education, government, and other fields, the book explains why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But Muller also shows that, when used as a complement to judgment based on personal experience, metrics can be beneficial, and he includes an invaluable checklist of when and how to use them. The result is an essential corrective to a harmful trend that increasingly affects us all.

If you are looking for the definitive resource to help you measure your students’ achievement, your search is over. PE Metrics: Assessing Student Performance Using the National Standards & Grade-Level Outcomes for K-12 Physical Education, Third Edition, aligns with SHAPE America’s National Standards and Grade-Level Outcomes for K-12 Physical Education, was created by SHAPE America and its writing team, and was reviewed by researchers and teachers with expertise in assessment. The result is a text that you can use with confidence as you help develop physical literacy in your students. Written for physical educators, administrators, and curriculum writers (and for physical education majors and minors), this latest edition offers the following: • 130 ready-to-use assessments for kindergarten through grade 12 (65 elementary, 43 middle school, and 22 high school) • Worksheets, checklists, and rubrics that support the assessments • Guidance on creating your own assessments for any lesson or unit These assessments are aligned with the three SHAPE America lesson planning books for elementary, middle, and secondary school and dovetail with SHAPE America’s The Essentials of Teaching Physical Education. The assessments can be used as they are, or you can modify them or use them as samples in creating assessments that are best suited to your needs. PE Metrics, now in a four-color design, is organized into four main parts: Part I introduces the purpose and uses of assessment, how to develop an assessment plan, and the various types of assessments and tools you can use. Part II contains sample assessments for students in grades K-5, focusing on fundamental motor skills; as such, the elementary-level assessments center heavily on Standard 1. In part III, the emphasis shifts to middle school assessments, with a concentration on Standard 2 and on the categories of dance and rhythms, invasion games, net/wall games, fielding/striking games, outdoor pursuits, aquatics, and individual-performance activities. Part IV offers sample assessments for high school students, with a priority on providing evidence of the knowledge and skills students will need to remain active and fit after they leave high school. This resource provides a comprehensive, performance-based assessment system that enables you to incorporate assessment into every facet of your teaching, create assessments that are unique to your program, and measure your students’ performance against the grade-level outcomes. The assessments are process focused and are designed to measure multiple constructs as well as provide meaningful feedback to students—ultimately helping them to develop holistically across all three learning domains (psychomotor, cognitive, and affective). PE Metrics will help you instill in students the knowledge, skills, and confidence they need to enjoy a lifetime of healthful physical activity.

Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.

This one-stop handbook gives managers who have been charged with creating metric scorecards techniques that will make them truly effective. Written for managers who want/need to create and use scorecards, Metrics 2.0: Creating Scorecards for High-Performance Work Teams and Organizations provides a unique perspective on this vital management tool. Focusing on performance improvement, it describes the intellectual foundation behind scorecards and demonstrates how metrics can be used to enhance feedback, motivation, and employee engagement. The book offers a background primer on statistics and research methods, outlining the basics of metrics such as attributes, scope of measures, and levels of analysis to help managers understand what should go into the scorecard and why. Key techniques for using scorecards are showcased and step-by-step guidance on creating metric scorecards for teams, departments, and entire organizations is provided, including specialized situations such as customer service measurement or monitoring off-site performance. Finally, managers are taught how to analyze results intelligently and translate metrics into effective operational practices. Extensive running examples address both service and manufacturing metrics and each chapter ends with a set of learning objectives.

The Measuring Early Learning Quality and Outcomes (MELQO) initiative began in 2014 as part of the global emphasis on early childhood development (ECD). Led by UNESCO, the World Bank, the Center for Universal Education at the Brookings Institution and UNICEF, the initiative aims to promote feasible, accurate and useful measurement of childrenâs development and learning at the start of primary school, and of the quality of their pre-primary learning environments. Items are designed for children between the ages of 4 and 6 years. Following the premise that many existing tools include similar items, the leading organizationsâ core team worked with a consortium of experts, non-governmental organizations (NGOs) and multilaterals to build upon current measurement tools to create a common set of items organized into modules for measuring: 1) early childhood development and learning, and 2) the quality of pre-primary learning environments. The MELQO core team and experts also collaborated to outline a process for context-specific adaptation of the measurement modules resulting from lessons learned from field-testing in several countries in 2015 and 2016. The modules are designed to be implemented at scale, with an emphasis on feasibility for low- and middle-income countries (LMICs). A key question addressed by MELQO was the balance between a global tool suitable for use everywhere, and local priorities and goals for childrenâs development. [Introduction, ed]

Presenting original studies and rich conceptual analyses, this volume explores how cognitive and affective metrics can be used to effectively assess, modify, and enhance learning and assessment outcomes of simulations and games used in education and training. The volume responds to the increasing use of computer-based simulations and games across academic and professional sectors by bringing together contributions from different research communities, including K-12 and postsecondary education, medical, and military contexts. Drawing on empirical results, the chapter authors focus on the design and assessment of educational simulations and games. They describe how quantitative and qualitative metrics can be used effectively to evaluate and tailor instructional resources to the cognitive and affective needs of the individual learner. In doing so, the volume enhances understanding of how games and simulations can intersect with the science of learning to improve educational outcomes. Given its rigorous and multidisciplinary approach, this book will prove an indispensable resource for researchers and scholars in the fields of educational assessment and evaluation, educational technology, military psychology, and educational psychology.

As seen in Fast Company, Inc., Entrepreneur, Quartz at Work, Big Think, Chief Learning Officer, Chief Executive Officer, and featured in the Financial Times, and Forbes Recommended Reading for Creative Leaders. Nominated for a GetAbstract International Book Award at Frankfurt Book Fair, as one of the top 10 business books of the year 2019 Selected as a best business book of 2019 by SoundView Keeping people's skills in sync with fast-changing markets is the biggest challenge of our time. The workplace is going through a large-scale transition with digitization, automation, and acceleration. Critical skills and expertise are imperative for companies and their employees to succeed in the future, and the most forward-thinking companies are being proactive in adapting to the shift in the workforce. Kelly Palmer, Silicon Valley thought-leader from LinkedIn, Degreed, and Yahoo, and David Blake, co-founder of Ed-tech pioneer Degreed, share their experiences and describe how some of the smartest companies in the world are making learning and expertise a major competitive advantage. The authors provide the latest scientific research on how people really learn and concrete examples from companies in both Silicon Valley and worldwide who are driving the conversation about how to create experts and align learning innovation with business strategy. It includes interviews with people from top companies like Google, LinkedIn, Airbnb, Unilever, NASA, and MasterCard; thought leaders in learning and education like Sal Khan and Todd Rose; as well as Thinkers50 list-makers Clayton Christensen, Daniel Pink, and Whitney Johnson. TheExpertise Economy dares you to let go of outdated and traditional ways of closing the skills gap, and challenges CEOs and business leaders to embrace the urgency of re-skilling and upskilling the workforce.