31 Days of Prayer: Pray Like Never Before, Berk Daniel C.
Автор: Berk Katie Cocca Название: The Adventures of Sabrina Michaela: Me and My Big Sis ISBN: 1545632693 ISBN-13(EAN): 9781545632697 Издательство: Неизвестно Цена: 1861.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
When Sabrina was young she would ask why she was brown and her big sister Melanie was tan? This book reinforces the idea that God created them equally as little girls and sisters. It focuses on the similarities and sends a positive message by using descriptive words along with full color illustrations to show how their bodies work the same way and they can do the same things.
Katie Cocca Berk is the proud mom of three beautiful children: Melanie Victoria, Sabrina Michaela and Marcus Harrison. Katie was blessed to be able to know the joys of being both a biological and adoptive parent. Being part of a blended family is her inspiration for this book. "You don't choose your family. They are God's gift to you, as you are to them." - Desmond Tutu
Автор: Demirkol, Berk Название: Judicial acts and investment treaty arbitration ISBN: 1316648206 ISBN-13(EAN): 9781316648209 Издательство: Cambridge Academ Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines judicial acts infringing the rights of foreign investors that can give rise to international responsibility of the state. It addresses legal issues that will be of interest to academics, researchers, and practitioners working in the area of public international law and, particularly, in international investment law.
Автор: Ronald A. Berk , Michael Theall Название: Thirteen Strategies to Measure College Teaching ISBN: 1579221920 ISBN-13(EAN): 9781579221928 Издательство: Turpin Рейтинг: Цена: 18190.00 р. Наличие на складе: Невозможна поставка.
Описание: * Student evaluations of college teachers: perhaps the most contentious issue on campus * This book offers a more balanced approach * Evaluation affects pay, promotion and tenure, so of intense interest to all faculty * Major academic marketing and publicity * Combines original research with Berk's signature wacky humor
To many college professors the words "student evaluations" trigger mental images of the shower scene from Psycho, with those bloodcurdling screams. They're thinking: "Why not just whack me now, rather than wait to see those ratings again."
This book takes off from the premise that student ratings are a necessary, but not sufficient source of evidence for measuring teaching effectiveness. It is a fun-filled--but solidly evidence-based--romp through more than a dozen other methods that include measurement by self, peers, outside experts, alumni, administrators, employers, and even aliens.
As the major stakeholders in this process, both faculty AND administrators, plus clinicians who teach in schools of medicine, nursing, and the allied health fields, need to be involved in writing, adapting, evaluating, or buying items to create the various scales to measure teaching performance. This is the first basic introduction in the faculty evaluation literature to take you step-by-step through the process to develop these tools, interpret their scores, and make decisions about teaching improvement, annual contract renewal/dismissal, merit pay, promotion, and tenure. It explains how to create appropriate, high quality items and detect those that can introduce bias and unfairness into the results.
Ron Berk also stresses the need for "triangulation"--the use of multiple, complementary methods--to provide the properly balanced, comprehensive and fair assessment of teaching that is the benchmark of employment decision making.
This is a must-read to empower faculty, administrators, and clinicians to use appropriate evidence to make decisions accurately, reliably, and fairly. Don't trample each other in your stampede to snag a copy of this book
Описание: This book puts in one place and in accessible form Richard Berk’s most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of forecasting errors as the forecasts are constructed, and an emphasis on maximizing forecasting accuracy, the author shows how his decades of research on the topic improves forecasts of risk. Criminal justice risk forecasts anticipate the future behavior of specified individuals, rather than “predictive policing” for locations in time and space, which is a very different enterprise that uses different data different data analysis tools. The audience for this book includes graduate students and researchers in the social sciences, and data analysts in criminal justice agencies. Formal mathematics is used only as necessary or in concert with more intuitive explanations.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
