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"Thompson, Robin, 1960- author"
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Constructing an online professional learning network for school unity and student achievement
What if your professional learning community was available 24 hours a day, every day of the year? Would you like to have a place to share lesson plans, student work, a new curriculum, and to provide a discussion forum for all stakeholders? You can, even with only a basic understanding of technology. The authors explain how they created an online professional learning network to share a new core curriculum, providing a framework for constructing such a network to fit your school's needs. The many benefits include: (1) Enhanced communication among teachers, administrators, and the community; (2) Easy access to professional development for many more participants; (3) Implementation of best practices and instructional strategies for improved teacher performance; and (4) Increased understanding of and commitment to educational goals. Included are checklists, flowcharts, screenshots of an actual learning network, case studies, and a glossary of terms. This book provides all the tools you need to build a successful and motivating professional community online. The following chapters are contained in this book: (1) Focusing on a Professional Learning Network; (2) Zooming in on Leadership; (3) Going Digital: Infusing Technology Into a PLN; (4) Landscape for Communication of Information; (5) Framing Curriculum and Instruction; (6) Exposures to Learning; (7) Begin Your Focus With Eight Steps; and (8) Adding Perspective: Viewing a PLN With a New Lens. References and an Index are also included. [This book is a joint publication with Learning Forward.]
eBook
Linear models for the prediction of animal breeding values
Best Linear Unbiased Prediction (BLUP) has become the most widely accepted method for genetic evaluation of domestic livestock. Since its introduction, the method has evolved and despite this there is no simple text on the application of linear models to the prediction of breeding values. This book has been written with a good balance of theory and application to fill this gap. Equations for partitioning breeding values into contributions from various sources of information are derived under the various models. Recent developments in the analysis of longitudinal data with random regression models and the inclusion of genetic marker information in the evaluation of animals have been incorporated. Overall the book has been thoroughly updated since the first edition was published in 1996.
eBook