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This handbook provides data, materials and tools for technology-enhanced science education. These resources were presented at the 2009 Statistics Online Computational Resource (SOCR) Continuing Education workshop at UCLA. The handbook covers continuing education and training for probability and statistics instructors. Specifically this workshop handbook includes validated educational materials, novel computational tools and useful pedagogical techniques and instruments for statistics education. Examples of these materials include SOCR Java applets for distributions, experiments, analysis, modeling and data exploration, various activities for hands-on demonstrations and virtual experimentation. The SOCR philosophy is that in science education, one-size-does-not-fit-all! The handbook provides many examples of tools, data, materials and infrastructure for technology enhanced science education. However, it?s ultimately the instructor?s responsibility to wrap these resources into a coherent set of materials appropriate for their concrete classes, student?s maturity and course syllabi.
Over the past decade, Big Data have become ubiquitous in all economic sectors, scientific disciplines, and human activities. They have led to striking technological advances, affecting all human experiences. Our ability to manage, understand, interrogate, and interpret such extremely large, multisource, heterogeneous, incomplete, multiscale, and incongruent data has not kept pace with the rapid increase of the volume, complexity and proliferation of the deluge of digital information. There are three reasons for this shortfall. First, the volume of data is increasing much faster than the corresponding rise of our computational processing power (Kryder’s law > Moore’s law). Second, traditi...
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic ca...
A Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools.
The basic concepts and building blocks for the design of Fine- (or FPGA) and Coarse-Grain Reconfigurable Architectures are discussed in this book. Recently-developed integrated architecture design and software-supported design flow of FPGA and coarse-grain reconfigurable architecture are also described.
An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the S...
Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to prepare statistically literate citizens. A major change is needed in how statistics is taught. To bring about this change, three dimensions of teacher knowledge need to be addressed: their knowledge of statistical content, their pedagogical knowledge, and their statistical-pedagogical knowledge, i.e., their specific knowledge about how to teach statistics. T...
This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of sim...
"This book provides research on the pedagogical challenges faced in recent years to improve the understanding of social media in the educational systems"--Provided by publisher.