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This is a resource book for educational leaders seeking to improve student performance outcomes. It is particularly relevant to high schools in South Carolina.It is intended to provide ideas for secondary school leaders, but also serves as a resource book for schools and districts accessing the consulting services of Dr. Greer.
HSPT Practice Questions are the simplest way to prepare for the HSPT. Practice is an essential part of preparing for a test and improving a test taker's chance of success. The best way to practice taking a test is by going through lots of practice test questions. If someone has never taken a practice test, then they are unprepared for the types of questions and answer choices that they will encounter on the official test. There is a tremendous advantage to someone taking the test that is already familiar with the questions and answer choices. Another advantage of taking practice tests is that you can assess your performance and see if you need to study and practice more, or if you're already prepared enough to achieve success on your test day. If you do well on the practice test, then you know you're prepared. If you struggle on the practice test, then you know you may still have more work to do to get prepared. Taking lots of practice tests helps ensure that you are not surprised or disappointed on your test day. Our HSPT Practice Questions give you the opportunity to test your knowledge on a set of questions. You can know everything that is going to be covered on the test and it will not do you any good on test day if you have not had a chance to practice. Repetition is a key to success and using practice test questions allows you to reinforce your strengths and improve your weaknesses. Detailed answer explanations are also included for each question. It may sound obvious, but you have to know which questions you missed (and more importantly why you missed them) to be able to avoid making the same mistakes again when you take the real test. That's why our HSPT Practice Questions include answer keys with detailed answer explanations. These in-depth answer explanations will allow you to better understand any questions that were difficult for you or that you needed more help to understand.
Measuring History complements the cases presented in Wise Social Studies Practices (Yeager & Davis, 2005). Yeager and Davis highlight the rich and ambitious teaching that can occur in the broad context of state-level testing. In this book, the chapter authors and I bring the particular state history tests more to the fore and examine how teachers are responding to them. At the heart of Measuring History are cases of classroom teachers in seven states (Florida, Kentucky, Michigan, New York, Texas, Mississippi, and Virginia) where new social studies standards and new, and generally high-stakes, state-level history tests are prominent. In these chapters, the authors describe and analyze the state’s testing efforts and how those efforts are being interpreted in the context of classroom practice. The results both support and challenge prevailing views on the efficacy of testing as a vehicle for educational reform. Catherine Horn (University of Houston) and I lay the groundwork for the case studies through a set of introductory chapters that examine the current environment, the research literature, and the technical qualities of history tests.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Autoworkers find themselves in a rapidly changing world as transnational corporations seek new forms of work organization and new boundaries for a North American auto industry. Inside the factory, management pursues new models of "lean production" that require workers to produce more with less—less time, less support, less material—in an atmosphere of accelerated and intensified labor. Outside the factory, "freetrade" policies and regional investment strategies widen the reach of transnational corporations, creating new opportunities in Mexico, Canada, and the U.S. for pitting worker against worker in a mutually destructive competition for jobs. In Confronting Change, researchers from a diverse range of universities and unions explore the impact of these changes on work and workers. The case studies and analyses show the wide range of potential outcomes as workers struggle to become actors, rather than victims, in the emerging North American auto industry.