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Foundational Practices of Online Writing Instruction, edited by Beth L. Hewett and Kevin Eric DePew, with associate editors Elif Guler and Robbin Zeff Warner, addresses the questions and decisions that administrators and instructors most need to consider when developing online writing programs and courses. Written by experts in the field (members of the Conference on College Composition and Communication Committee for Effective Practices in OWI and other experts and stakeholders), the contributors to this collection explain the foundations of the recently published (2013) A Position Statement of Principles and Examples Effective Practices for OWI and provide illustrative practical applications. To that end, in every chapter, the authors address issues of inclusive and accessible writing instruction (based upon physical and mental disability, linguistic ability, and socioeconomic challenges) in technology enhanced settings. The five parts of this book attempt to cover the most important issues relevant to principle-centered OWI: (1) An OWI Primer, (2) OWI Pedagogy and Administrative Decisions, (3) Practicing Inclusivity in OWI, (4) Faculty and Student Preparation for OWI, and (5) New Directions in OWI. Working from the belief that most writing courses eventually will be mediated online to various degrees, the editors offer principles and practices that will allow this collection to inform future composition theory and praxis. To this end, the editors hope that the guidance provided in this collection will encourage readers to join a conversation about designing OWI practices, contributing to the scholarship about OWI, and reshaping OWI theory.
- Subjects:
- English Language
- Keywords:
- Computer-assisted instruction English language -- Rhetoric -- Study teaching Creative writing -- Computer-assisted instruction Textbooks
- Resource Type:
- e-book
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e-book
This lab manual provides students with the theory, practical applications, objectives, and laboratory procedure of ten experiments. The manual also includes educational videos showing how student should run each experiment and a workbook for organizing data collected in the lab and preparing result tables and charts.
- Subjects:
- Laboratory Techniques and Safety and Physics
- Keywords:
- Fluid mechanics Fluid dynamics Laboratory manuals Textbooks Hydraulic machinery
- Resource Type:
- e-book
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e-book
Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.
- Subjects:
- Computing
- Keywords:
- Computer science Textbooks
- Resource Type:
- e-book
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e-book
The Technical Project Management class is designed to help students build on their past experiences and develop effective strategies for managing complex technical projects, with an emphasis on applying project management concepts to real-world problems. In the weekly web conferences, the class comes together in community to discuss the lesson topics, considering the practical applications of the concepts in each subject area.
- Subjects:
- Management
- Keywords:
- Management Textbooks
- Resource Type:
- e-book
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e-book
We hope readers will take away three ideas from this book in addition to forming a foundationof statistical thinking and methods. (1) Statistics is an applied field with a wide range of practical applications. (2) You don't have to be a math guru to learn from real, interesting data. (3) Data are messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world. Textbook overviewThe chapters of this book are as follows: 1. Data collection. Data structures, variables, and basic data collection techniques. 2. Summarizing data. Data summaries and graphics. 3. Probability. The basic principles of probability. 4. Distributions of random variables. Introduction to key distributions, and how the normal model applies to the sample mean and sample proportion. 5. Foundation for inference. General ideas for statistical inference in the context of estimating the population proportion. 6. Inference for categorical data. Inference for proportions using the normal and chisquare distributions. 7. Inference for numerical data. Inference for one or two sample means using the t distribution, and comparisons of many means using ANOVA. 8. Introduction to linear regression. An introduction to regression with two variables. Instructions are also provided in several sections for using Casio and TI calculators.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics Textbooks
- Resource Type:
- e-book
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e-book
We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods. (1) Statistics is an applied field with a wide range of practical applications. (2) You don't have to be a math guru to learn from interesting, real data. (3) Data are messy, and statistical tools are imperfect. However, when you understand the strengths and weaknesses of these tools, you can use them to learn interesting things about the world. Textbook overview The chapters of this book are as follows: 1. Introduction to data. Data structures, variables, summaries, graphics, and basic data collection techniques. 2. Foundations for inference. Case studies are used to introduce the ideas of statistical inference with randomization and simulations. The content leads into the standard parametric framework, with techniques reinforced in the subsequent chapters.1 It is also possible to begin with this chapter and introduce tools from Chapter 1 as they are needed. 3. Inference for categorical data. Inference for proportions using the normal and chi-square distributions, as well as simulation and randomization techniques. 4. Inference for numerical data. Inference for one or two sample means using the t distribution, and also comparisons of many means using ANOVA. A special section for bootstrapping is provided at the end of the chapter. 5. Introduction to linear regression. An introduction to regression with two variables. Most of this chapter could be covered immediately after Chapter 1. 6. Multiple and logistic regression. An introduction to multiple regression and logistic regression for an accelerated course. Appendix A. Probability. An introduction to probability is provided as an optional reference. Exercises and additional probability content may be found in Chapter 2 of OpenIntro Statistics at openintro.org. Instructor feedback suggests that probability, if discussed, is best introduced at the very start or very end of the course.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics Textbooks
- Resource Type:
- e-book
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e-book
Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs. OpenStax College has compiled many resources for faculty and students, from faculty-only content to interactive homework and study guides.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics Textbooks
- Resource Type:
- e-book
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e-book
Human Resource Management teaches HRM strategies and theories that any manager—not just those in HR—needs to know about recruiting, selecting, training, and compensating people. Most students will be managing people at some point in their careers and not necessarily in a human resource management capacity. As businesses cut back, they may outsource HR duties to outside vendors. Or, in smaller businesses, the HR department is sometimes small or non-existent, and managers from other departments have to perform their own HRM. Therefore, teaching HRM from the perspective of a general manager, in addition to an HR manager, provides more relevance to students' careers and will give them a competitive advantage in the workplace. This text also provides practical applications of theory relevant to today's workplace. You won't find discussions about “posting vacancies on a job board” or “sending memos.” In the real world, HRM leverages technology in every aspect of the job—from online training modules to technology for better managing flex-time workers and telecommuters. Consider how most companies have gone “paperless” with pay stubs by using software. While such technology has made HRM easier, it has also created a new set of challenges. For example, how does a manager actually implement a new pay system? Therefore, it's important for students to understand what kinds of platforms exist in today's workplace to enhance their effectiveness as future managers. The conversational style of Human Resource Management engages students, while the academic rigor of its content provides them with the tools that any manager needs—whether they work in HR or a different department. PLUS it offers an array of supplements that gives them practice creating real HR documents and role-playing real HR scenarios. Add value to your students' education, enhance the relevance of your curriculum, and make your students more employable by adopting this book for your HRM class. Read it now online today!
- Subjects:
- Management
- Keywords:
- Personnel management Textbooks
- Resource Type:
- e-book
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e-book
Personal Finance by Rachel Siegel and Carol Yacht is a comprehensive Personal Finance text which includes a wide range of pedagogical aids to keep students engaged and instructors on track. This book is arranged by learning objectives. The headings, summaries, reviews, and problems all link together via the learning objectives. This helps instructors to teach what they want, and to assign the problems that correspond to the learning objectives covered in class. Personal Finance includes personal finance planning problems with links to solutions, and personal application exercises, with links to their associated worksheet(s) or spreadsheet(s). In addition, the text boasts a large number of links to videos, podcasts, experts' tips or blogs, and magazine articles to illustrate the practical applications for concepts covered in the text. Rachel would love to hear from you. If you have questions about teaching with her book, comments about teaching Personal Finance, or just feedback, feel free to email her at rachelsiegelcfa@hughes.net. This textbook has been used in classes at: Miami University.
- Subjects:
- Finance
- Keywords:
- Investments Finance Personal Textbooks
- Resource Type:
- e-book