The Spark Of Learning
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The Spark of Learning
Informed by psychology and neuroscience, Cavanagh argues that in order to capture students' attention, harness their working memory, bolster their long-term retention, and enhance their motivation, educators should consider the emotional impact of their teaching style and course design.
Developing Learning Communities Through Teacher Expertise
Author: Giselle O. Martin-Kniep
language: en
Publisher: Corwin Press
Release Date: 2003-10-14
"No book I have read in the past ten years has made clearer to me the difference between what I am doing as a professional developer and what I should be doing. It is so unremittingly honest about the difficulty of our work, and yet so rich in practical examples that I cannot help but feel inspired to move forward and change the way I teach and learn with teachers." Richard W. Strong, Vice President Silver Strong & Associates, LLC "There are many books on the market covering school improvement and teachers as experts as well as staff development; however, this book is concise, provides excellent templates, and is backed by real experiences and expertise." Suzanne C. Fonoti, Principal Flagstaff Arizona Unified School District Forget expensive consultants—use the expertise within your own school for quality professional development! Martin-Kniep offers practical methods for developing a reflective, collaborative environment where teachers and administrators work together to enhance teachers′ practices, increase student learning, and produce valuable school processes. Developing Learning Communities Through Teacher Expertise includes frameworks, templates, and examples that can be employed to determine the value and implications surrounding the use of teacher-designed standards-based curriculum and assessment, data-driven inquiry, and professional portfolios. Based on work completed at the nonprofit Center for the Study of Expertise in Teaching and Learning, this innovative volume includes: Examples of teachers′ reflections, portfolio artifacts, and student work Sample standards-based curriculum units for different content areas and grade levels Discussion questions and recommended readings Sample worksheets and self-assessments Standards-based curriculum and assessment design tools Sample rubrics for student and teacher development Developing Learning Communities Through Teacher Expertise offers step-by-step instructions for developing an action plan for incorporating learning communities into a school. Providing numerous real-life examples, Martin-Kniep includes three specific teaching units and supporting material, which illustrate how to identify and capitalize on teachers′ existing expertise.
Machine Learning For Dummies
Author: John Paul Mueller
language: en
Publisher: John Wiley & Sons
Release Date: 2016-05-11
Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!