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Learning Equation
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Book Synopsis The Learning Curve Equation by : Louis Leon Thurstone
Download or read book The Learning Curve Equation written by Louis Leon Thurstone and published by . This book was released on 1919 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Bringing Math Students Into the Formative Assessment Equation by : Susan Janssen Creighton
Download or read book Bringing Math Students Into the Formative Assessment Equation written by Susan Janssen Creighton and published by Corwin Press. This book was released on 2015-01-21 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make formative assessment work for you—and your math students! Finally, formative assessment that adds up! Bringing Math Students Into the Formative Assessment Equation is the ultimate resource for helping teachers implement formative assessment in the middle school mathematics classroom. And it’s much more than that. With this research-based, teacher-tested guide, you won’t just learn effective teaching strategies—you’ll turn your students into self-regulated learners. They’ll monitor and assess their own progress—and communicate to you about it! Features include: A clear and manageable six-aspect instructional model Detailed strategies for helping students own their successes Real-life examples from middle school mathematics teachers Useful resources and a companion website to help you implement formative assessment in your classroom Formative assessment isn’t just for teachers anymore. With the help of this essential resource, you’ll work together with your students toward a common goal of math success. "This book is outstanding. I would recommend it to any math educator. The depth of research integrated into practice is extensive and, as a result, it is the most practical book I have come across related to formative assessment and mathematics The self-regulation aspects, as well as the ownership and involvement emphasized in the book, went beyond the traditional cognitive strategies endorsed in most books." Marc Simmons, Principal Ilwaco Middle School, Ocean Beach School District, Long Beach, WA "The ideas in this book are brought to life with examples of teachers and students in the classroom. The teacher voices, comments, and quotes lend credibility and are a big component of the book’s strengths as well as the visuals and graphics." Rita Tellez, Math Coordinator Ysleta Independent School District, El Paso, TX
Book Synopsis The Learning Equation by : Why Interactive
Download or read book The Learning Equation written by Why Interactive and published by Brooks Cole. This book was released on 2001-08-10 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consists of 65 interactive lessons on college prealgebra. Topics covered: whole numbers, fractions and decimals, integers, rational numbers and sqare roots, the language of algebra, linear equations, polynomials, ratio and percent, measurement, area, perimeter and volume, polygons and circles.
Book Synopsis Balancing the Equation by : Matthew R. Larson
Download or read book Balancing the Equation written by Matthew R. Larson and published by . This book was released on 2016-04-29 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Copublished with the National Council of Teachers of Mathematics, this book focuses on individuals involved in K 12 mathematics education particularly educators and parents who seek to improve their understanding of mathematics and help students succeed. The authors tackle popular misconceptions and misguided discourse about mathematics education and draw on peer-reviewed research about instruction that can significantly improve student learning."
Book Synopsis Mathematics for Machine Learning by : Marc Peter Deisenroth
Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Book Synopsis Action Learning at Work by : Alan Mumford
Download or read book Action Learning at Work written by Alan Mumford and published by Gower Publishing, Ltd.. This book was released on 1997 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book Professor Mumford, himself a leading exponent of Action Learning, has brought together more than 34 articles and papers on the subject from a variety of sources. They reflect the experience not only of those responsible for AL programmes but also of learners and client organizations. A wide range of issues is addressed, from underlying philosophy to evaluation, from the learning process itself to ways of integrating the 'P' and the 'Q' of Revans' famous equation.
Book Synopsis Handbook of Research on the Psychology of Mathematics Education by : Angel Gutiérrez
Download or read book Handbook of Research on the Psychology of Mathematics Education written by Angel Gutiérrez and published by Sense Publishers. This book was released on 2006 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compilation of the research produced by the International Group for the Psychology of Mathematics Education (PME) since its creation in 1976. The first three sections summarize cognitively-oriented research on learning and teaching specific content areas, transversal areas, and based on technology-rich environments. The fourth section is devoted to the research on social, affective, cultural and cognitive aspects of mathematics education. The fifth section includes two chapters summarizing the PME research on teacher training and professional life of mathematics teachers.
Book Synopsis How to Solve Problems by : Donald Scarl
Download or read book How to Solve Problems written by Donald Scarl and published by Dosoris Press. This book was released on 2003 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches problem-solving style for students in introductory college science and engineering courses.
Book Synopsis Michael Allen's Guide to e-Learning by : Michael W. Allen
Download or read book Michael Allen's Guide to e-Learning written by Michael W. Allen and published by John Wiley & Sons. This book was released on 2016-09-26 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore effective learning programs with the father of e-learning Michael Allen's Guide to e-Learning: Building Interactive, Fun, and Effective Learning Programs for Any Company, Second Edition presents best practices for building interactive, fun, and effective online learning programs. This engaging text offers insight regarding what makes great e-learning, particularly from the perspectives of motivation and interactivity, and features history lessons that assist you in avoiding common pitfalls and guide you in the direction of e-learning success. This updated edition also considers changes in technology and tools that facilitate the implementation of the strategies, guidelines, and techniques it presents. E-learning has experienced a surge in popularity over the past ten years, with education professionals around the world leveraging technology to facilitate instruction. From hybrid courses that integrate technology into traditional classroom instruction to full online courses that are conducted solely on the internet, a range of e-learning models is available. The key to creating a successful e-learning program lies in understanding how to use the tools at your disposal to create an interactive, engaging, and effective learning experience. Gain a new perspective on e-learning, and how technology can facilitate education Explore updated content, including coverage regarding learner interface, gamification, mobile learning, and individualization Discuss the experiences of others via targeted case studies, which cover good and not so good e-learning projects Understand key concepts through new examples that reinforce essential ideas and demonstrate their practical application Michael Allen's Guide to e-Learning: Building Interactive, Fun, and Effective Learning Programs for Any Company, Second Edition is an essential resource if you are studying for the e-Learning Instructional Design Certificate Program.
Book Synopsis Handbook of Research on Mathematics Teaching and Learning by : Douglas Grouws
Download or read book Handbook of Research on Mathematics Teaching and Learning written by Douglas Grouws and published by IAP. This book was released on 2006-11-01 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored by the National Council of Teachers of Mathematics and written by leading experts in the field of mathematics education, the Handbook is specifically designed to make important, vital scholarship accessible to mathematics education professors, graduate students, educational researchers, staff development directors, curriculum supervisors, and teachers. The Handbook provides a framework for understanding the evolution of the mathematics education research field against the backdrop of well-established conceptual, historical, theoretical, and methodological perspectives. It is an indispensable working tool for everyone interested in pursuing research in mathematics education as the references for each of the Handbook's twenty-nine chapters are complete resources for both current and past work in that particular area.
Book Synopsis International Encyclopedia of Education by :
Download or read book International Encyclopedia of Education written by and published by Elsevier. This book was released on 2009-04-17 with total page 6964 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of education has experienced extraordinary technological, societal, and institutional change in recent years, making it one of the most fascinating yet complex fields of study in social science. Unequalled in its combination of authoritative scholarship and comprehensive coverage, International Encyclopedia of Education, Third Edition succeeds two highly successful previous editions (1985, 1994) in aiming to encapsulate research in this vibrant field for the twenty-first century reader. Under development for five years, this work encompasses over 1,000 articles across 24 individual areas of coverage, and is expected to become the dominant resource in the field. Education is a multidisciplinary and international field drawing on a wide range of social sciences and humanities disciplines, and this new edition comprehensively matches this diversity. The diverse background and multidisciplinary subject coverage of the Editorial Board ensure a balanced and objective academic framework, with 1,500 contributors representing over 100 countries, capturing a complete portrait of this evolving field. A totally new work, revamped with a wholly new editorial board, structure and brand-new list of meta-sections and articles Developed by an international panel of editors and authors drawn from senior academia Web-enhanced with supplementary multimedia audio and video files, hotlinked to relevant references and sources for further study Incorporates ca. 1,350 articles, with timely coverage of such topics as technology and learning, demography and social change, globalization, and adult learning, to name a few Offers two content delivery options - print and online - the latter of which provides anytime, anywhere access for multiple users and superior search functionality via ScienceDirect, as well as multimedia content, including audio and video files
Book Synopsis Fundamentals of Artificial Neural Networks by : Mohamad H. Hassoun
Download or read book Fundamentals of Artificial Neural Networks written by Mohamad H. Hassoun and published by MIT Press. This book was released on 1995 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.
Book Synopsis Machine Learning by : Ryszard Stanisław Michalski
Download or read book Machine Learning written by Ryszard Stanisław Michalski and published by Morgan Kaufmann. This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Creating Learning Organizations Through Digital Transformation by : Mamede, Henrique S.
Download or read book Creating Learning Organizations Through Digital Transformation written by Mamede, Henrique S. and published by IGI Global. This book was released on 2024-01-04 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations find themselves at a pivotal crossroads in an era propelled by the sweeping tide of digital transformation, where the wake of the COVID-19 pandemic has reshaped the global landscape. Within these novel contexts, the imperative to cultivate Learning Organizations (LOs) has emerged as a beacon of adaptability and progress. Creating Learning Organizations Through Digital Transformation weaves the fabric of LOs within the digital tapestry, where minds perpetually expand, and learning begets learning. This journey hinges on the synergy of knowledge and digital prowess, as LOs harness data and digital content with finesse. From immersive learning to artificial intelligence, these technological frontiers reshape learning, spurring change. Unveiling the core concepts, implementations, and global impacts of LOs, this book is a compass for academics, researchers, and practitioners. It deciphers people capacities, digital contents, learning technologies, and evaluation, nurturing the symbiotic relationship between learning and transformation.
Book Synopsis Analyzing Memory by : Richard A. Chechile
Download or read book Analyzing Memory written by Richard A. Chechile and published by MIT Press. This book was released on 2024-09-17 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible synthesis of memory research that discusses the creation of memory representations, the processes of storage and retrieval, and the effectiveness of encoding information. The field of memory research is subdivided into many separate and non-overlapping topic areas that often employ specialized tools and models. This book offers an accessible synthesis of memory research that explores how memory works, how it is organized, and how it changes dynamically. Written by an expert in the field, it can be used by undergraduate and graduate students of psychology and as a reference by researchers who want to fill in gaps in their knowledge. The book focuses on three general topics that cover a vast amount of research in the field: how a memory representation is created, how the cognitive processes of storage and retrieval can be studied and measured, and the process of encoding information and its varying degrees of effectiveness. Specific subjects addressed include habituation and sensitization, and the neurobiological changes that underlie them; evidence for a cognitive component underlying Pavlovian conditioning; biological constraints on a cognitive model of memory; an information-processing framework for memory; misconceptions about memory, including the static memory myth and the permanent memory myth; model-based measurement of storage and retrieval processes; a critique of the concept of memory strength; the distinction between implicit and explicit memory; and learning and repetition. Although the writing is accessible to the nonspecialist, the density of information is high. The text avoids jargon, and a glossary defines key terms. The notes expand on technical details and point to interesting related ideas.
Book Synopsis Neural Networks for Pattern Recognition by : Albert Nigrin
Download or read book Neural Networks for Pattern Recognition written by Albert Nigrin and published by MIT Press. This book was released on 1993 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.