Learning Packages in American Education
Author : Philip G. Kapfer
Publisher : Educational Technology
Page : 252 pages
File Size : 28,18 MB
Release : 1972
Category : Education
ISBN : 9780877780472
Experiential Learning Packages
Author : Sivasailam Thiagarajan
Publisher : Educational Technology
Page : 132 pages
File Size : 43,57 MB
Release : 1980
Category : Education
ISBN : 9780877781431
Book Description
Targeted Learning
Author : Mark J. van der Laan
Publisher : Springer Science & Business Media
Page : 628 pages
File Size : 49,90 MB
Release : 2011-06-17
Category : Mathematics
ISBN : 1441997822
Book Description
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at both statisticians and applied researchers interested in causal inference and general effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihood estimator, including related concepts necessary to understand and apply these methods. Parts II-IX handle complex data structures and topics applied researchers will immediately recognize from their own research, including time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic studies.
Preparing and Using Individualized Learning Packages for Ungraded, Continuous Progress Education
Author : Philip G. Kapfer
Publisher : Educational Technology
Page : 276 pages
File Size : 48,25 MB
Release : 1971
Category : Education
ISBN : 9780877780151
Book Description
Abstract: The main goal of an Individual Learning Package (ILP) is to assist teachers in creating learning environments that are more humanized. ILP's should permit students to learn at their own unique rates, to have alternative ways to meet stated goals, to plan their own learning sequences, and to be successful with varying levels of self-initiative and self-direction. Presenting the ILP approach to instructional management through curriculum design, the curriculum components are: what will be learned (concept, skill and value statements), what changes will occur (learning objectives), what will facilitate those changes (IL materials and activities), how evaluation can help (pre-,self- and post-evaluation), and finally, future goals. Organizing the ILP components and evaluating for ILP improvement are discussed.
Deep Learning for Coders with fastai and PyTorch
Author : Jeremy Howard
Publisher : O'Reilly Media
Page : 624 pages
File Size : 18,5 MB
Release : 2020-06-29
Category : Computers
ISBN : 1492045497
Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Contexts for Learning Mathematics
Author : Catherine Twomey Fosnot
Publisher : Greenwood International
Page : pages
File Size : 13,53 MB
Release : 2007-05
Category :
ISBN : 9780325010045
Book Description
Contexts for Learning consists of: Investigations and Resource Guides - workshop structure involves students in inquiring, investigating, discussing, and constructing mathematical solutions and strategies - investigations encourage emergent learning and highlight the developmental landmarks in mathematical thinking - strings of related problems develop students' deep number sense and expand their strategies for mental arithmetic Read-Aloud Books and Posters - create rich, imaginable contexts--realistic and fictional--for mathematics investigations - are carefully crafted to support the development of the big ideas, strategies, and models - encourage children to explore and generate patterns, generalize, and develop the ability to mathematize their worlds Resources for Contexts for Learning CD-ROM - author videos describe the series' philosophy and organization - video overviews show classroom footage of a math workshop, including minilessons, investigations, and a math congress - print resources include research base, posters, and templates
Hands-On Machine Learning with R
Author : Brad Boehmke
Publisher : CRC Press
Page : 374 pages
File Size : 27,29 MB
Release : 2019-11-07
Category : Business & Economics
ISBN : 1000730433
Book Description
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Championing Technology Infusion in Teacher Preparation
Author : Arlene C. Borthwick
Publisher : International Society for Technology in Education
Page : 274 pages
File Size : 43,54 MB
Release : 2022-08-17
Category : Education
ISBN : 1564848361
Book Description
Educators learning how to meaningfully integrate technology into their teaching practice will find resources and action plans to prepare them for today’s tech-infused lessons. Advancing teacher preparation to full adoption of technology infusion is no small undertaking. Written by 20 experts in the teacher prep field, Championing Technology Infusion in Teacher Preparation provides research- and practice-based direction for faculty, administrators, PK-12 school partners and other stakeholders who support programwide technology infusion in teacher education programs. Such organizational change involves almost every individual and system involved in teacher preparation. Topics addressed include: • Defining technology infusion and integration. • Systemic planning and readiness of college-level leadership. • Programwide, iterative candidate experiences across courses and clinical work. • Technology use and expectations for teachers and students in PK-12 settings. • Instructional design in teacher preparation programs to include integration of technology in face-to-face, blended and online PK-12 teaching and learning. • Strategies to support induction of new teachers in PK-12 settings. • Technology use, expectations, and professional development for teacher educators • Models for effective candidate and program evaluation. • Roles for government agencies and non-governmental organizations (NGOs) in nationwide collaboration for technology infusion in teacher preparation. This book will help administrators in colleges and schools of education as well as teacher educators in preparation programs support the developmental needs of teacher candidates as they learn how to teach with technology. With action steps and getting started resources in each chapter, the book is well-adapted for small group study and planning by collaborative leadership teams in colleges and schools of education. The book is also appropriate for the study of effective organizational change in education by graduate students.
Data Science in Education Using R
Author : Ryan A. Estrellado
Publisher : Routledge
Page : 315 pages
File Size : 27,7 MB
Release : 2020-10-26
Category : Education
ISBN : 1000200906
Book Description
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Computer Applications in the Social Sciences
Author : Edward E. Brent
Publisher : Temple University Press
Page : 506 pages
File Size : 21,38 MB
Release : 1990
Category : Social Science
ISBN : 9780877226666
Book Description
Presenting an introduction to computing and advice on computer applications, this book examines hardware and software with respect to the needs of the social scientist. It offers a framework for the use of computers, with focus on the 'work station', the center of which is a personal computer connected to networks by a telephone-based modem.
