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This collected book is about the eduLab projects, an initiative with focus on Scaling Change through Apprenticising and Ecological Leadership, designed to surface and spread ground-up information and communication technology-based pedagogical innovations. It presents the goals and rationale behind eduLab, an overview of the research projects conducted by its principal investigators during its funding tenure, as well as synthesizing thoughts on the entire endeavor. This book not only marks the achievements of the eduLab programme but also serves as inspiration for future projects. It presents Singapore education in action – a continually evolving and adapting education system that delivers a system well known for its high quality as much as it is forward-looking.
A priced and annotated annual record of international book auctions.
For more than 65 years, this best-selling text by Drs. Barbara J. Bain, Imelda Bates, and Mike A. Laffan has been the worldwide standard in laboratory haematology. The 12th Edition of Dacie and Lewis Practical Haematology continues the tradition of excellence with thorough coverage of all of the techniques used in the investigation of patients with blood disorders, including the latest technologies as well as traditional manual methods of measurement. You'll find expert discussions of the principles of each test, possible causes of error, and the interpretation and clinical significance of the findings. - A unique section on haematology in under-resourced laboratories. - Ideal as a laboratory reference or as a comprehensive exam study tool. - diagnosis, molecular testing, blood transfusion- and much more. - Complete coverage of the latest advances in the field. - An expanded section on coagulation now covers testing for new anticoagulants and includes clinical applications of the tests.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Grounded in contemporary, evidence-based research, the second edition of Assessment for Teaching provides a comprehensive introduction to assessment and teaching in primary and secondary school settings. Taking a practical approach to assessment and the collaborative use of data in the classroom, this text advances a developmental model of assessment which aims to improve student outcomes through targeted teaching interventions. Thoroughly revised and updated to include the latest research, this edition features expanded content on collaborative teaching, competence assessment, learning and assessment and self-regulated teaching and learning. Each chapter features learning objectives, reflective questions, an extended exercise to link course content with classroom practice, and end-of-chapter rubrics which help readers assess their own understanding and learning. Written by a team of experts from the Assessment Research Centre at the University of Melbourne, Assessment for Teaching is an essential resource for both preservice teachers and inservice teachers.