Игрушка Learning Resources 2383280

Состав товараВооружимся лабораторными инструментами – магнитными жезлами, дисками и футлярами с железной крошкой. Задача научного эксперимента – изучить магнетизм и силу притяжения. На помощь приехали два профессора: разноцветные магнитные фигурки на магнитомобилях.Набор позволяет провести 9 экспериментов на изучение магнитной силы. Девочки и мальчики знакомятся с научными принципами, лабораторными инструментами и специальной терминологией.Ребёнок сам управляет процессом обучения: выдвигает гипотезы, проверяет факты, строит причинно-следственные связи.Набор разработан по системе stem-образования. Это позволяет прикоснуться к естественно-научным и техническим знаниям через практическое решение задач.В наборе: 2 магнитные палочки, 2 футляра с железной крошкой, 2 магнитные фигурки, 2 магнитные машинки, магнитные диски, измерительная линейка.ЦветразноцветныйИзготовлениеКитайПолДля мальчикаДля девочки

Состав товараВ наборе: робот дракон декстер, волшебная палочка, ворота замка, мишень, шар, катапульта, сундук, 3 огненных шарика, карточка с изображением монстров, 12 карточек для кодирования, книга заклинаний.Добро пожаловать в волшебный мир программирования. Программирование - это не только весело, но и полезно. Это отличный способ для обучения и развития логики, пространственного и критического мышления, приобретение навыка работы в команде. Волшебный дракон декстер поможет ребенку изучить основы программирования.Кодирование похоже на язык магических символов, состоящий из набора следующих команд: вперед, назад, влево и вправо. Используйте эти символы и команды, расположенные на волшебной палочке и в книге заклинаний, чтобы обучить своего волшебного дракона. Когда вы нажимаете кнопки на палочке, вы выстраиваете последовательности для создания кода.Используйте карточки для кодирования, чтобы отслеживать каждый шаг в своем коде.Каждая карта содержит направление или «шаг» для программирования дракона. Эти карточки подобраны по цвету в соответствии с кнопками на палочке.В комплекте игры с драконом поставляется книга заклинаний с мистическими кодами и действиями. Эти заклинания – секретные коды. Тренируйте своего магического дракона для выполнения каждого из них!ЦветразноцветныйИзготовлениеКитайПолДля мальчикаДля девочки

Состав товараПластикПеред вами – настоящее обучающее сокровище: счёты меняют цвет, погружают в математику и прокачивают мышление.Ребенок научится: Решать математические примеры в игровой форме: складывать и вычитать, умножать и делитьСчитать в прямом и обратном порядкеВизуализировать единицы, десятки, сотни, тысячи и миллионыЗапоминать вычисления в умеНаходить и исправлять ошибкиУдерживать концентрацию внимания до 30 минутВыстраивать алгоритм своих действийПередвигая костяшки, девочки и мальчики не только делят числа на разряды, но и развивают мелкую моторику: пальцы становятся ловкими и чувствительными, а движения – плавными и скоординированными.В наборе: счёты из 10 разрядов в 5 цветах.ЦветразноцветныйИзготовлениеКитайПолДля мальчикаДля девочки

Biorenewable Resources: Engineering New Products from Agriculture, 2nd Edition will provide comprehensive coverage of engineering systems that convert agricultural crops and residues into bioenergy and biobased products. This edition is thoroughly updated and revised to better serve the needs of the professional and research fields working with biorenewable resource development and production. Biorenewable resources is a rapidly growing field that forms at the interface between agricultural and plant sciences and process engineering. Biorenewable Resources will be an indispensable reference for anyone working in the production of biomass or biorenewable resources.

Solidly grounded in theory and research, but concise and practice-oriented, Adult Learning: Linking Theory and Practice is perfect for master’s-level students and practitioners alike. Sharan Merriam and Laura Bierema have infused each chapter with practical applications for instruction which will help readers personally relate to the material. The contents covers: Adult Learning in Today’s World Traditional Learning Theories Andragogy Self-Directed Learning Transformative Learning Experience and Learning Body and Spirit in Learning Motivation and Learning The Brain and Cognitive Functioning Adult Learning in the Digital Age Critical Thinking and Critical Perspectives Culture and Context Discussion questions and activities for reflection are included at the end of each chapter.

Learning is at its best when it is goal-oriented, contextual, interesting, challenging, and interactive. These same winning characteristics also define the best computer games, which suggests that the most effective learning experiences are also engaging. Learning can and should be hard fun! The challenge is to get in touch with what it takes to design learning experiences that will excite your audience. Engaging Learning offers a much-needed guide for training professionals who want to create learning programs that are both effective and engaging. Clark N. Quinn Learning, a system designer, presents a unique framework for systematically aligning the key elements of learning and engagement with a proven design process for e-learning games. This nuts-and-bolts guide, which is both research-based and grounded in experience, offers the tools needed to transform learning experiences from humdrum to fun.

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.

Learning Paths is a down-to-earth practical resource that is filled with illustrative examples, methods, techniques, strategies, processes, and tools for making company-wide, real-time training possible. Created to be flexible, the Learning Path approach can be customized to fit your organization no matter what its type or size. Learning Paths is divided into three sections: The Learning Path Methodology: Walks the reader through the major steps and strategies needed for building Learning Paths. Doing the Right Training: Offers a wide-range of strategies, methods and techniques that can be targeted to the training within a Learning Path and tied to an organization’s particular business needs. Do the Training Right: Shows how to ensure the training within a Learning Path is delivered in the most cost-effective manner and introduces methods for structuring training so that it transfers to the job easily and effectively.

Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and expensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business. This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication: Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems Extensions and Applications features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems Advanced Topics explores complex methods including simulation optimization, active learning in mathematical programming, and optimal continuous measurements Each chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduc­tion to learning and a variety of policies for learning.

Most learning on the job is informal. This book offers advice on how to support, nurture, and leverage informal learning and helps trainers to go beyond their typical classes and programs in order to widen and deepen heir reach. The author reminds us that we live in a new, radically different, constantly changing, and often distracting workplace. He guides us through the plethora of digital learning tools that workers are now accessing through their computers, PDAs, and cell phones.