The National Council of Teachers of Mathematics has established curriculum standards for early childhood math skills. Preschool Math features creative, developmentally appropriate activities that directly address these standards. These activities encourage interaction and communication, and feature healthy food themes, ready-to-use reproducibles and fundamental mathematical concepts. Give children a foundation for learning that will pave the way for future confidence and success in mathematics. It's as basic as 1-2-3!

Card sorting helps us understand how people think about content and categories. Armed with this knowledge, we can group information so that people can better find and understand it. In this book, Donna describes how to plan and run a card sort, then analyse the results and apply the outcomes to your project.

Prepares the programmer to create sort programs and provides the basic for reading more formidable literature in the field.

All printed Parliamentary papers common to both Houses are included in v. 2, etc.

The two-volume set LNCS 8523-8524 constitutes the refereed proceedings of the First International Conference on Learning and Collaboration Technologies, LCT 2014, held as part of the 16th International Conference on Human-Computer Interaction, HCII 2014, in Heraklion, Crete, Greece in June 2014, jointly with 13 other thematically similar conferences. The total of 1476 papers and 220 posters presented at the HCII 2014 conferences were carefully reviewed and selected from 4766 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 93 contributions included in the LCT proceedings were carefully reviewed and selected for inclusion in this two-volume set. The 45 papers included in this volume are organized in the following topical sections: design of learning technologies; novel approaches in eLearning; student modeling and learning behavior; supporting problem-based, inquiry-based, project-based and blended learning.

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)