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Author: Joseph M. Scandura
Publisher: Routledge
ISBN: 1351839403
Category : Psychology
Languages : en
Pages : 340
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Book Description
Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.
Author: Joseph M. Scandura
Publisher: Routledge
ISBN: 1351839403
Category : Psychology
Languages : en
Pages : 340
Get Book Here
Book Description
Originally published in 1976, this title is an edited volume and reflects the major approaches being taken in structural learning at the time. Chapter 1 deals with the basic question of whether competence (knowledge) should be characterized in terms of rules (automata), on the one hand, or associations on the other. The bulk of Chapter 2 is devoted to a series of earlier experiments on rule learning by the editor and his associates. The two contributions in Chapter 3 deal with graph theoretical models. Piagetian models constitute the subject of Chapter 4. Chapter 5 deals with attempts to stimulate human behaviour with a computer. Chapter 6 ranges over a wide variety of competence models, with particular reference to logic and mathematics. In Chapter 7 the editor proposes a new theory of structural learning, together with some empirical results.
Author: Doug Fisher
Publisher: ASCD
ISBN: 1416612297
Category : Education
Languages : en
Pages : 157
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Book Description
Better Learning Through Structured Teaching describes how teachers can help students develop stronger learning skills by ensuring that instruction moves from modeling and guided practice (situations where the teacher has most of the responsibility) to collaborative learning and, finally, to independent tasks. You'll find out how to use the four components of this approach to help meet critical challenges, including differentiating instruction and making effective use of class time: 1. Focus Lessons: Establishing the lesson’s purpose and then modeling your own thinking for students.2. Guided Instruction: Working with small groups of students who have similar results on performance assessments. 3. Collaborative Learning: Enabling students to discuss and negotiate with one another to create independent work, not simply one project. 4. Independent Tasks: Requiring students to use their previous knowledge to create new and authentic products. The authors explore each component using student dialogues and examples from a variety of disciplines and grade levels. They provide tips and tools for successfully implementing this instructional approach in your own classroom, including checklists for classroom setup and routines, critical questions, real-world lesson plans, and more. No matter what grade level you teach, Better Learning Through Structured Teaching is your essential guide to helping students develop and expand their capacity for authentic and long-lasting learning.
Author: Keith Hudson
Publisher: Springer
ISBN: 1489931902
Category : Education
Languages : en
Pages : 182
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Book Description
It is often the case - perhaps more often than not - that new ideas arrive long before there is the me ans to clothe and deli ver them. We can think ofLeonardo da Vinci's drawings of helicopters and submarines among many other examples. Computer-Assisted Learning (CAL) is an example of an idea which has had a particularly long gestation. As I will illustrate early in the book, the principles of CAL were really first discovered by Socrates. As a formal method of teaching, the Socratic method disappeared for over two millennia until the 1950s. It was then revived in the form ofProgrammed Learning (PL) which resulted from the researches ofB. F. Skinner at Harvard University. Even then, PL was premature. In the 1950s and 60s, methods were devised, such as teaching machines and various sorts ofPL text books, and there was a mushrooming of PL publishing at that time. For a complex of reason- economic, logistical and technical-PL also largely disappeared from the mid- 60s, although it continued in a few specialized areas ofteaching and industrial training. However, during the same period, PL quietly transformed itselfinto CAL. But the computerized form was not capable of mass dissemination until recently hecause personal microcomputers did not have sufficient internal memory sizes. That situation has now changed very dramatically and 128K microcomputers are becoming cheap and widely available. Cheap memory chips of256K and 1024K cannot be far away, either.
Author: Manolis Papadrakakis
Publisher: CRC Press
ISBN: 020388163X
Category : Technology & Engineering
Languages : en
Pages : 672
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Book Description
The increasing necessity to solve complex problems in Structural Dynamics and Earthquake Engineering requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest scientific developments in Computational Dynamics, Stochastic Dynam
Author: Louise Spear-Swerling
Publisher: Guilford Publications
ISBN: 1462548792
Category : Education
Languages : en
Pages : 266
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Book Description
"In this book, structured literacy is conceptualized as an umbrella term encompassing a variety of intervention methods, instructional approaches, and commercial programs. In addition to focusing on SL approaches to intervention, this book is organized around common poor reader profiles that have been identified in research. The chapters in this volume are written by experts who are well known as researchers but who are also highly skilled at writing for practitioners. Chapters were written with a strong foundation of research that is summarized, but with a concentration on translating research into practice, including case studies, sample intervention activities, and lesson plans. Each chapter includes application activities at the end to check for and extend readers' understanding"--
Author: Joseph M. Scandura
Publisher: Routledge
ISBN: 1351815334
Category : Psychology
Languages : en
Pages : 309
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Book Description
Originally published in 1973, this book was published in two volumes. In the first volume, the author describes what he sees as the rudiments of three deterministic partial theories of structural learning. The first involves competence, partial theories which deal only with the problem of how to account for the various kinds of behavior of which people are typically capable. Special attention is given to mathematical competence. Nothing is said about learning or performance. The second partial theory is concerned with motivation, learning, and performance under idealized conditions, and is obtained from the first partial theory by imposing further structure on it. This theory says nothing about memory of the limited capacity of human subjects to process information. ... The final theory is obtained from the second by making additional assumptions, which bring memory and finite information processing into the picture. The theory is still partial, however, since no attempt is made to deal with certain ultra-short-term behavioral phenomena which appear to depend directly on particular physiological characteristics.
Author: Bhavikatti S.S.
Publisher: Vikas Publishing House
ISBN: 9325968800
Category : Technology & Engineering
Languages : en
Pages : 442
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Book Description
Structural analysis, or the 'theory of structures', is an important subject for civil engineering students who are required to analyse and design structures. It is a vast field and is largely taught at the undergraduate level. A few topics like matrix method and plastic analysis are also taught at the postgraduate level and in Structural Engineering electives. The entire course has been covered in two volumes—Structural Analysis-I and II. Structural Analysis-II deals in depth with the analysis of indeterminate structures, and also special topics like curved beams and unsymmetrical bending. It provides an introduction to advanced methods of analysis, namely, matrix method and plastic analysis. SALIENT FEATURES • Systematic explanation of concepts and underlying theory in each chapter • Numerous solved problems presented methodically • University examination questions solved in many chapters • A set of exercises to test the student's ability in solving them correctly NEW IN THE FOURTH EDITION • Thoroughly reworked computations • Objective type questions and review questions • A revamped summary for each chapter • Redrawing of some diagrams
Author: Structured Learning IT Team
Publisher: Structured Learning LLC
ISBN: 0978780027
Category : Education
Languages : en
Pages : 225
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Book Description
Used world-wide as a definitive technology curriculum, this six-volume series (Fourth Edition, 2011) is the all-in-one solution to running an effective, efficient, and fun technology program whether you re the lab specialist, IT coordinator, classroom teacher, or homeschooler. It is the choice of hundreds of school districts across the country, private schools nationwide and teachers around the world. Each volume includes step-by-step directions for a year's worth of projects, samples, grading rubrics, reproducibles, wall posters, teaching ideas and hundreds of online connections to access enrichment material and updates from a working technology lab. Aligned with ISTE national technology standards, the curriculum follows a tested timeline of which skill to introduce when, starting with mouse skills, keyboarding, computer basics, and internet/Web 2.0 tools in Kindergarten/First; MS Word, Publisher, Excel, PowerPoint, Google Earth, internet research, email and Photoshop in Second/Fifth. Each activity is integrated with classroom units in history, science, math, literature, reading, writing, critical thinking and more. Whether you're an experienced tech teacher or brand new to the job, you'll appreciate the hundreds of embedded links that enable you to stay on top of current technology thinking and get help from active technology teachers using the program. Extras include wall posters to explain basic concepts, suggestions for keyboarding standards, discussion of how to integrate Web 2.0 tools into the classroom curriculum and the dozens of online websites to support classroom subjects.
Author: Keith D. Hjelmstad
Publisher: Springer Nature
ISBN: 3030899446
Category : Technology & Engineering
Languages : en
Pages : 557
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Book Description
This text closes the gap between traditional textbooks on structural dynamics and how structural dynamics is practiced in a world driven by commercial software, where performance-based design is increasingly important. The book emphasizes numerical methods, nonlinear response of structures, and the analysis of continuous systems (e.g., wave propagation). Fundamentals of Structural Dynamics: Theory and Computation builds the theory of structural dynamics from simple single-degree-of-freedom systems through complex nonlinear beams and frames in a consistent theoretical context supported by an extensive set of MATLAB codes that not only illustrate and support the principles, but provide powerful tools for exploration. The book is designed for students learning structural dynamics for the first time but also serves as a reference for professionals throughout their careers.
Author: Mark Ryan
Publisher: Simon and Schuster
ISBN: 163835717X
Category : Computers
Languages : en
Pages : 262
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Book Description
Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps
