A nice story that tells us how the units playing with a pencil compared the height of different objects.
Author: Rodolfo Villicana
A nice story that tells us how the units playing with a pencil compared the height of different objects. Her teacher, seeing the interest that her students had in learning to measure, made them a real ruler, with which they measured many objects they found in their classroom. And now the units are experts at measuring.
Why Educational Accountability Metrics Lower Student Learning and Demoralize Teachers J. M. Beach. Thus, it is important to remember that heritable measures ...
Author: Josh M. Beach
Publisher: Rowman & Littlefield
Category: Education and state
This book examines the idea of educational accountability, which has become a new secular gospel. But do accountability policies actually make schools better? Do business management theories and practices make organizations more effective? What if the most widely used management theories and assessment tools don't work? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless? What if administrators don't know how to use accountability tools or correctly analyze the problematic data these tools produce? What if we can't measure, let alone accurately assess, what matters most with teaching or student learning. How is a business-model of economic efficiency supposed to increase the competing, and perhaps mutually exclusive, ends of schooling, such as human development, student learning, personal satisfaction, social mobility, and economic growth? What if students don't learn much in schools? What if schools were never designed to produce student learning? This book will answer these questions with a wide, interdisciplinary range of the latest scientific research.
Sometimes measuring was hard but as I learned it got easeyer. I learned a pattern is ... Then I learned how to play the fraction game and learned shapes.
Author: Marilyn Burns
Publisher: Math Solutions
Arguing that students should be writing in math class, the author describes five types of writing assignments for math and presents student work to illustrate her approach and suggestions and tips for teachers.
In the measurement part, we started to rate people in the closure trainings. We used to have feedback only, but now we have an idea of where people succeed ...
Author: Jack J. Phillips
Publisher: American Society for Training and Development
Category: Business & Economics
How do you accurately and effectively measure return on investment (ROI) in training and performance improvement?
Measuring ROI in Learning and Development, a new volume with a focus on the international arena and including a selection of case studies, provides detailed information on how to create, develop, and sustain a comprehensive ROI evaluation system. A focus on accountability in measuring ROI in learning and performance improvement programs has produced a book filled with functional, pragmatic suggestions and examples that can be implemented in the real world.
Effective Machine Learning Inspired by the Agile Manifesto Eric Carter, Matthew Hurst ... Through our measurement, we learned several things.
Author: Eric Carter
Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment. The authors’ approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product. What You'll Learn Effectively run a data engineering team that is metrics-focused, experiment-focused, and data-focused Make sound implementation and model exploration decisions based on the data and the metrics Know the importance of data wallowing: analyzing data in real time in a group setting Recognize the value of always being able to measure your current state objectively Understand data literacy, a key attribute of a reliable data engineer, from definitions to expectations Who This Book Is For Anyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data.
In this chapter, we learned how to perform an accurate cluster analysis in the MATLAB environment. First, we explored how to measure similarity.
Author: Giuseppe Ciaburro
Publisher: Packt Publishing Ltd
Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.
... is the note in measure 1 followed by several measures using the three notes we have learned. ... Play eighth notes with alternating pick or bow strokes.
Author: JOE CARR
Publisher: Mel Bay Publications
If you have tried and failed to learn to read standard music notation for the mandolin or fiddle using traditional methods or you have never tried and want to, this book is for you. Learn to play from music in the mandolin- and fiddle-friendly major keys of C, G, D, A, F, and B-flat and their relative minor keys. Also learn to play in various time signatures including 4/4 (common time), 2/2 (cut time), 3/4 (waltz), and 6/8 (jig). You will also be taught to recognize and play whole notes, half notes, quarter notes, and eight notes.
(Teacher) • They set up chairs to play library on their own. ... (Parent) Ongoing Outcomes of Playing the Games An important measure of the product's ...
Author: Dorothy Singer
Publisher: Oxford University Press
In Play=Learning, top experts in child development and learning contend that in over-emphasizing academic achievement, our culture has forgotten about the importance of play for children's development.
Author: Innovative Language LearningPublish On: 2017-08-25
For Example: 1. a pair of socks 2. two loaves of bread 3. three cases of beer In Cantonese, however, we must use these measure or "counting" words when ...
Author: Innovative Language Learning
Publisher: Innovative Language Learning
Category: Foreign Language Study
Interactive. Effective. And FUN! Start speaking Cantonese in minutes, and learn key vocabulary, phrases, and grammar in just minutes more with Learn Cantonese - Level 1: Introduction - a completely new way to learn Cantonese with ease! Learn Cantonese - Level 1: Introduction will arm you with language and cultural insight to utterly shock and amaze your Hong Kong friends and family, teachers, and colleagues. What you get in Learn Cantonese - Level 1: Introduction: - 5 Basic Bootcamp lessons: dialog transcripts with translation, vocabulary, sample sentences and a grammar section - 15 All About lessons: cultural insight and insider-only tips from our teachers in each lesson - 5 Pronunciation lesson: tips and techniques on proper pronunciation Discover or rediscover how fun learning a language can be with the future of language learning, and start speaking Cantonese instantly!
The Power Function is a measure of resource productivity that helps illustrate a curious feature of the ... You can also play with the numbers lots of ways.
Author: Tachi Kiuchi
Publisher: Berrett-Koehler Publishers
Category: Business & Economics
What We Learned in the Rainforest presents a surprising new business principle: by applying strategies and practices gleaned from nature-by emulating what it once sought to conquer-business can adapt rapidly to changing market conditions and attain greater and more sustainable profits. With clear, direct language and dozens of real-world examples, Kiuchi and Shireman show how a company can become a complex living system that doesn't merely balance competing interests but truly integrates them. Examples from leading companies include: How Coca-Cola CEO Doug Daft uses diversity to drive sales How Intel founder Gordon Moore creates profit by design How Bill Coors builds businesses on the theory that "all waste is lost profit" How Shell profits as an industrial ecosystem What Weyerhaeuser and activists learned from each other How Dow earns 300% returns, and Dupont builds market share with eco-effectiveness, and more This book shows that the old model of business-the machine model that pitted business against nature-is growing obsolete. In the emerging economy, businesses excel when they emulate what they once sought to conquer. They maximize performance as they become like nature, like a complex living system. By moving beyond the industrial machine model, and applying the dynamic principles of the rainforest instead, business can learn how to create more profit than ever, and to do so more sustainably. Written by two would-be "arch enemies"-a hard-nosed CEO of a major corporation and a dedicated environmentalist-this book doesn't just balance competing interests, it integrates them into a truly revolutionary new paradigm. Kiuchi and Shireman present numerous real-world examples from leading companies-business strategies and management practices that maximize business performance by all measures: economic, social, and environmental. They illustrate the powerful business model provided by nature for driving innovation, increasing profit, spurring growth, and ensuring sustainability.
In these applications we see a strong feedback loop between the ... Ideally, what is learned in such analyses feeds back to improve interfaces, game play, ...
Author: Craig S. Wells
Publisher: Guilford Publications
Category: Social Science
This book introduces and explores major topics in contemporary educational measurement: criterion-referenced testing, item response theory (IRT), computer-based testing, cross-lingual and cross-cultural assessment, and accountability testing. Psychometric experts describe forward-looking measurement practices and provide a contextualized understanding of how and why they were developed, how they can be used, and where they may go in the future. In addition to presenting key concepts and formulas, the volume covers established and emerging applications and discusses recurrent challenges that require additional research. A helpful glossary of abbreviations is included. The book is grounded in the work of Ronald K. Hambleton.
So what have we learned by including the implicit measures with the explicit measures? We believe that the answer is that a great deal was learned.
Author: Richard E. Petty
Publisher: Psychology Press
This book tackles a subject that has captured the imagination of many researchers in the field: attitudes. Although the field has always recognized that people’s attitudes could be assessed in different ways, from direct self-reports to disguised observations of behavior, the past decade has shown several new approaches to attitude measurement. Despite the fact that there is no monolithic point of view with respect to implicit attitudes or measures, this book proves informative in capturing the exciting developments that have taken place over the past decade in the study of attitudes, and point the way for future exploration. Although researchers in the field have long used physiological measures, more sophisticated approaches have now been developed that rely on brain imaging techniques to examine evaluative processes. This book addresses all of these new techniques, as well as the new wave of implicit measures and the contribution they have made to understanding attitudes and attitude change. This volume will be an essential resource for students and researchers in social psychology with an interest in the core topic of attitudes.
Itsimply won't occur to many managers that an ''intangible'' can be measured with simple, cleverly designed observations. We have all been taught several ...
Author: Douglas W. Hubbard
Publisher: John Wiley & Sons
Category: Business & Economics
Praise for How to Measure Anything: Finding the Value of Intangibles in Business "I love this book. Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure anything better, to gain that insight, to make progress, and to succeed." -Peter Tippett, PhD, M.D. Chief Technology Officer at CyberTrust and inventor of the first antivirus software "Doug Hubbard has provided an easy-to-read, demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions. We encourage our clients to try his powerful, practical techniques." -Peter Schay EVP and COO of The Advisory Council "As a reader you soon realize that actually everything can be measured while learning how to measure only what matters. This book cuts through conventional clichés and business rhetoric and offers practical steps to using measurements as a tool for better decision making. Hubbard bridges the gaps to make college statistics relevant and valuable for business decisions." -Ray Gilbert EVP Lucent "This book is remarkable in its range of measurement applications and its clarity of style. A must-read for every professional who has ever exclaimed, 'Sure, that concept is important, but can we measure it?'" -Dr. Jack Stenner Cofounder and CEO of MetraMetrics, Inc.
In a similar way we may also measure the learning of robots . Such a machine , which is able to incorporate information , can be described with absolute ...
Author: Christoph Arndt
Publisher: Springer Science & Business Media
Category: Technology & Engineering
From the reviews: "Bioinformaticians are facing the challenge of how to handle immense amounts of raw data, [...] and render them accessible to scientists working on a wide variety of problems. [This book] can be such a tool." IEEE Engineering in Medicine and Biology
For each experiment we computed three F1 values to measure the overall performance of the learning algorithm. One was the conventional micro-averaged F1 in ...
Author: P. Buitelaar
Publisher: IOS Press
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee agree on which concepts cover the domain, on which terms describe which concepts, on what relations exist between each concept and what the possible attributes of each concept are. All ontology learning systems begin with an ontology structure, which may just be an empty logical structure, and a collection of texts in the domain to be modeled. An ontology learning system can be seen as an interplay between three things: an existing ontology, a collection of texts, and lexical syntactic patterns. The Semantic Web will only be a reality if we can create structured, unambiguous ontologies that model domain knowledge that computers can handle. The creation of vast arrays of such ontologies, to be used to mark-up web pages for the Semantic Web, can only be accomplished by computer tools that can extract and build large parts of these ontologies automatically. This book provides the state-of-art of many automatic extraction and modeling techniques for ontology building. The maturation of these techniques will lead to the creation of the Semantic Web.
It used to be hard, we used to work on worksheets. ... It's hard to measure the side. ... A student in Year 2 reported: Today I learned measurement.
Who's In? Who's Out? portrays the successes and the challenges inclusive education researchers take on in striving to dismantle barriers involving access, presence, participation and success in education.
“Now I want to tell you a story about when I met Andrea, on the night we learned she and Luke were engaged. It took place right after they announced they ...
Author: Jonathan Kellerman
Publisher: Ballantine Books
Deputy coroner Clay Edison goes to extreme lengths for a forgotten Jane Doe in the new thriller from a father-son team of bestselling authors who write “brilliant, page-turning fiction” (Stephen King). “As for the keen sense of drama, it must be a genetic trait. . . . The Kellermans show compassion for the survivors, including conscientious officials like Edison.”—The New York Times Book Review Former star basketball player Clay Edison is busy. He’s solved a decades-old crime and redeemed an innocent man, earning himself a suspension in the process. Things are getting serious with his girlfriend. Plus his brother’s fresh out of prison, bringing with him a whole new set of complications. Then the phone rings in the dead of night. A wild party in a gentrifying East Bay neighborhood. A heated argument that spills into the street. Gunshots. Chaos. For Clay and his fellow coroners, it’s the start of a long night and the first of many to come. The victims keep piling up. What begins as a community tragedy soon becomes lurid fodder for social media. Then the smoke clears and the real mystery emerges—one victim’s death doesn’t match the others. Brutalized and abandoned, stripped of ID, and left to die: She is Jane Doe, a human question mark. And it falls to Clay to give her a name and a voice. Haunted by the cruelty of her death, he embarks upon a journey into the bizarre, entering a hidden world where innocence and perversity meet and mingle. There, his relentless pursuit of the truth opens the gateway to a dark and baffling past—and brings him right into the line of fire. Praise for A Measure of Darkness “Edison is an interesting protagonist, a good man for whom finding the truth is more important than anything else, including his own safety. He’s gentle and strong, compassionate and ruthless, methodical and impulsive. A strong sequel to Crime Scene that will leave readers wanting to see more of Edison.”—Booklist