Learning Analytics in R with SNA, LSA, and MPIA PDF Download

Author: Fridolin Wild
Publisher: Springer
ISBN: 3319287915
Category : Computers
Languages : en
Pages : 275

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Book Description
This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of knowledge. The hybrid algorithm is implemented in the statistical programming language and environment R, introducing packages which capture – through matrix algebra – elements of learners’ work with more knowledgeable others and resourceful content artefacts. The book provides comprehensive package-by-package application examples, and code samples that guide the reader through the MPIA model to show how the MPIA landscape can be constructed and the learner’s journey mapped and analysed. This building block application will allow the reader to progress to using and building analytics to guide students and support decision-making in learning.

Author: Ting-Ting Wu
Publisher: Springer
ISBN: 331952836X
Category : Computers
Languages : en
Pages : 759

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Symposium, SETE 2016, held in conjunction with ICWL 2016, Rome, Italy, in October 2016. The 81 revised papers, 59 full and 22 short ones, were carefully reviewed and selected from 139 submission. They cover latest findings in various areas, such as emerging technologies for open access to education and learning; emerging technologies supported personalized and adaptive learning; emerging technologies support for intelligent tutoring; emerging technologies support for game-based and joyful learning; emerging technologies of pedagogical issues; emerging technologies for affective learning and emerging technologies for tangible learning.

Author: Élise Lavoué
Publisher: Springer
ISBN: 331966610X
Category : Education
Languages : en
Pages : 621

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Book Description
This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Author: Gyamfi, Albert
Publisher: IGI Global
ISBN: 1522529578
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
The application of emerging multimedia innovations can significantly benefit organizations across different sectors. These tools aid in increasing competitive advantage and optimizing knowledge management. Evaluating Media Richness in Organizational Learning is an essential reference source for the latest scholarly research on the application of computational tools for knowledge management frameworks and strategies in organizations. Featuring a broad range of coverage on topics and perspectives such as web semantics, product innovation, and knowledge sharing, this book is ideally designed for researchers, consultants, practitioners, professionals, and upper-level students seeking current information on ways to facilitate business innovation and achieve competitive advantage.

Author: Daniel Burgos
Publisher: Springer Nature
ISBN: 9811901015
Category : Education
Languages : en
Pages : 168

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Book Description
This book brings together education research and practice carried out by An-Najah National University, a lead Higher Institution in Palestine that managed to move from a face-to-face setting to a fully online learning and teaching environment during the initial COVID-19 outbreak, within a month, seamlessly, which makes a success cases study of virtualization. This book concentrates on approaches to ensure the continuous improvement and quality of higher education provision across the country, with particular focus on: a) learning and teaching methodologies in online settings; b) use of open education as a key resource; and c) development of academic capability building, along with academic and knowledge exchange with other higher education partners. Innovative ideas, best practices, and comparative case studies are presented, discussed, and compared with international ones to make specific recommendations for a successful and sustainable implementation.

Author: Jen Stirrup
Publisher: Packt Publishing Ltd
ISBN: 1786460246
Category : Computers
Languages : en
Pages : 178

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Book Description
Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R About This Book A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R Combine Tableau analytics and visualization with the power of R using this step-by-step guide Wondering how R can be used with Tableau? This book is your one-stop solution. Who This Book Is For This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau. A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book. What You Will Learn Integrate Tableau's analytics with the industry-standard, statistical prowess of R. Make R function calls in Tableau, and visualize R functions with Tableau using RServe. Use the CRISP-DM methodology to create a roadmap for analytics investigations. Implement various supervised and unsupervised learning algorithms in R to return values to Tableau. Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions. In Detail Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples. Style and approach Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau makes the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.

Author: Ryan Wade
Publisher: Apress
ISBN: 9781484258286
Category : Computers
Languages : en
Pages : 330

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Book Description
This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard to do, if not impossible, using native Power BI tools without Power BI Premium capacity. For example, you will learn to score Power BI data using custom data science models, including powerful models from Microsoft Cognitive Services. The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration, but become easier through the application of data wrangling features that languages such as R and Python support. If you are a BI developer, business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you to do that. What You Will Learn Create advanced data visualizations through R using the ggplot2 package Ingest data using R and Python to overcome the limitations of Power Query Apply machine learning models to your data using R and Python Incorporate advanced AI in Power BI via Microsoft Cognitive Services, IBM Watson, and pre-trained models in SQL Server Machine Learning Services Perform string manipulations not otherwise possible in Power BI using R and Python Who This Book Is For Power users, data analysts, and data scientists who want to go beyond Power BI’s built-in functionality to create advanced visualizations, transform data in ways not otherwise supported, and automate data ingestion from sources such as SQL Server and Excel in a more succinct way

Author: James J. Duderstadt
Publisher: University of Michigan Press
ISBN: 9780472110919
Category : Education
Languages : en
Pages : 373

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Book Description
DIVFrom the former president of one of America's leading universities comes a comprehensive analysis of the challenges and opportunities facing higher education in America as we enter the twenty-first century. In A University for the Twenty-first Century, James J. Duderstadt discusses the array of powerful economic, social, and technological forces that are driving the rapid and profound change in American social institutions and universities in particular. /divDIVChange has always characterized the university as it has sought to preserve and propagate the intellectual achievements, the cultures, and the values of our civilization. However, the capacity of the university to change, through a process characterized by reflection, reaction, and consensus, simply may not be sufficient to allow the university to control its own destiny. Not only will social and technical change be a challenge to the American university, Duderstadt says, it will be the watchword for the years ahead. And with change will come unprecedented opportunities for those universities with the vision, the wisdom, and the courage to lead in the twenty-first century. The real question raised by this book is not whether higher education will be transformed, but rather how . . . and by whom. /divDIVJames J. Duderstadt is President Emeritus and University Professor of Science and Engineering, University of Michigan. /div

Author: Élise Lavoué
Publisher: Springer
ISBN: 9783319666099
Category : Education
Languages : en
Pages : 621

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Book Description
This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Author: Diana Whitney
Publisher: McGraw Hill Professional
ISBN: 9780071743204
Category : Business & Economics
Languages : en
Pages : 272

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Book Description
Advance Praise for Appreciative Leadership: "A must-read for leaders at all levels who believe that both common sense and business sense require engaging and encouraging rather than mandating or manipulating. It may become my most-recommended book." -- Frank Rogers-Witte, Ph.D., Director, Executive Staff Effectiveness, Hewlett-Packard IPG "Building on a simple but powerful idea, Appreciative Leadership offers an approach to organizational transformation applicable to institutions as varied as businesses, universities, church bodies, and health systems. Packed with dozens of stories and suggestions, it offers key insights translated into replicable strategies for action." -- Jane McAuliffe, Ph.D., President, Bryn Mawr College "The positive basis of power is illuminated brilliantly in this courageous leadership book. Appreciative Leadership touches the heart of leadership--the kind people most deeply desire--in a way that will change lives, businesses, and every relationship you wish to build." -- David L. Cooperrider, Ph.D., Professor of Social Entrepreneurship, Case Western Reserve University "Leadership driven by principles and integrity is more important today than ever. Appreciative Leadership shows how to blend principles of collaboration, quality, and service for both long-term achievement and practical daily impact. It provides a model of success for a new generation of leaders." -- R. Edward Howell, Vice President and Chief Executive Officer, University of Virginia Medical Center The Positive Approach to Leadership That Brings Out the Best in Everyone Appreciative Inquiry has become one of the most popular new management tools in business today. Its premise is simple yet profound: Instead of focusing on what's wrong in the workplace, learn about and build upon what works. Dr. Diana Whitney--a leader in the field of Appreciative Inquiry--and colleagues Amanda Trosten-Bloom and Kae Rader bring the next generation of these ideas forward, with practical and proven tools for leadership. A refreshingly different approach to managing organizations, Appreciative Leadership turns conventional management thinking on its head, demonstrating how to get results with "positive power." All you need are the five "I's" . . . INQUIRY: Leading with positively powerful questions. ILLUMINATION: Bringing out the best in people and situations. INCLUSION: Engaging with others to cocreate the future. INSPIRATION: Awakening the creative spirit. INTEGRITY: Making choices for the good of the whole. This revolutionary approach brings people together, drives companies forward--and takes your leadership skills to a whole new level. Appreciative Leadership shows you how to fully engage your team through positive inquiry and open dialogue--so that everyone feels included and valued, inspired and motivated . . . and ready to work together to win. In this user-friendly guide, you'll discover exciting new techniques to open up discussions, exchange ideas, agree on a plan, and follow up on your goals. You'll learn simple tips on how to keep your team on track with a can-do attitude. And you'll find satisfying new ways to be engaged, passionate, and present. This book isn't a quick-fix solution to your management problems. It's a full-time, lifelong commitment to your values, your vision, and your connection to others. This is how the best leaders in the world bring out the best in people, their organizations, and themselves. This is Appreciative Leadership.