Computer Education for Teachers


Book Description

COMPUTER EDUCATION FOR TEACHERS In today’s world, technology is changing quickly—and so are the ways teachers use that technology. From serving as a library resource to helping students with special needs, computer technology continues to be one of the most powerful tools in a teacher’s arsenal. In this new edition of Computer Education for Teachers, Vicki Sharp introduces teachers to computter technology in a meaningful, practical way. She helps readers gain the knowledge and skills necessary to integrate computers into the classroom in ways that will best serve both the teacher and the student. In this Sixth Edition you will find: Online tutorials demonstrating projects such as creating a newsletter and producing a podcast A new Digital Photography chapter and an expanded section on using a video camera Coverage of the latest innovations, including podcasts, social networking sites, blogs, wikis, open journaling, course management systems, virtual reality communities, personal response systems and more Online project templates and examples Numerous evaluations and checklists in PDF format for easy downloading, interactive self-study tests, and PowerPoint™ presentations Software reviews, an online hardware reference guide, and practical classroom activities




Clinician’s Guide to Applying, Conducting, and Disseminating Clinical Education Research


Book Description

Clinician's Guide to Applying, Conducting, and Disseminating Clinical Education Research provides clinical educators with the fundamental knowledge to be effective consumers of research and integrate it into their clinical education practice. Clinical educators are routinely called upon to provide early-career clinicians with clinical education and supervision within their practice. Clinician’s Guide to Applying, Conducting, and Disseminating Clinical Education Research fits at the intersection of clinical education and research for the supervising clinician—helping clinicians consider how they might contribute to the scholarship of teaching and learning related to clinical education. This one-of-a-kind text features a multidisciplinary perspective with contributors from various fields in allied health, such as speech-language pathology, occupational therapy, audiology, physical therapy, and more. What’s included in Clinician’s Guide to Applying, Conducting, and Disseminating Clinical Education Research: A hands-on workbook section for clinical educators to apply the content to education and clinical supervision research Chapters on seeking research mentorship, qualitative and quantitative research foundational concepts, and publishing and presenting research Parallels between evidence-based practice and evidence-based education Clinician’s Guide to Applying, Conducting, and Disseminating Clinical Education Research walks the reader through generating research all the way to implementation and dissemination while linking communities of working professionals to their students and research institutions.




The Book of R


Book Description

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.




Learning Statistics with R


Book Description

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com




How Learning Works


Book Description

Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning




Excel 2010 Formulas


Book Description

Take your Excel formulas to the next level with this updated reference John Walkenbach's name is synonymous with excellence in computer books that decipher complex technical topics. Known as "Mr. Spreadsheet," Walkenbach provides you with clear explanations on all the methods you can use to maximize the power of Excel with formulas within the frameworks of all the new features of Excel 2010. You'll learn how to create financial formulas, maximize the power of array formulas, develop custom worksheet functions with VBA, debug formulas, and much more. This invaluable reference is fully updated for the new Microsoft Office release and provides comprehensive formulas coverage, delivering more than 800 pages of Excel tips, tricks, and techniques you won't find anywhere else. Demonstrates how to use all the new features of Excel 2010 to maximize your formulas Shows how to develop custom worksheet functions with VBA, debug formulas, create financial formulas, and more Serves as an indispensable reference no matter your skill level Includes a valuable CD-ROM with sample files, templates and worksheets from the book, plus John Walkenbach's award-winning Power Utility Pak Prepare to excel with Excel when you have John Walkenbach and Excel 2010 Formulas by your side! Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.




How to Teach a Course in Research Methods for Psychology Students


Book Description

This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergraduate or graduate level. It provides various approaches for teaching the course including lecture topics, difficult concepts for students, sample labs, test questions, syllabus guides and policies, as well as a detailed description of the requirements for the final experimental paper. This book is also supplemented with anecdotes from the author’s years of experience teaching research methods classes. Chapters in this book include information on how to deliver more effective lectures, issues you may encounter with students, examples of weekly labs, tips for teaching research methods online, and much more. This book is targeted towards the undergraduate or graduate professor who has either not yet taught research methods or who wants to improve his or her course. Using step by step directions, any teacher will be able to follow the guidelines found in this book that will help them succeed. How to Teach a Course in Research Methods for Psychology Students is a valuable resource for anyone teaching a quantitative research methods course at the college or university level.




Data Smart


Book Description

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.