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Bringing Culture Back In
Economists used to claim that material self-interest and the rational choices of the individual were universal factors that transcended cultural values and differences. This position has been challenged by critics, who have pointed out the methodological and philosophical weaknesses of this approach. They dispute the idea that social order can be explained as the product of the choices of individual agents, and that social agents operate independently of their social and cultural values and norms. Today, there is virtual agreement, not only among students of culture, but also among social scientists that "culture counts" in both politics and society as well as in international relations. In this book, a number of international political scientists, economists, philosophers and humanist scholars address the role of culture, ethnicity, and religion in contemporary states and societies.
Advancing the Power of Learning Analytics and Big Data in Education
The term learning analytics is used in the context of the use of analytics in e-learning environments. Learning analytics is used to improve quality. It uses data about students and their activities to provide better understanding and to improve student learning. The use of learning management systems, where the activity of the students can be easily accessed, potentiated the use of learning analytics to understand their route during the learning process, help students be aware of their progress, and detect situations where students can give up the course before its completion, which is a growing problem in e-learning environments. Advancing the Power of Learning Analytics and Big Data in Ed...
Semiotics
This series of HANDBOOKS OF LINGUISTICS AND COMMUNICATION SCIENCE is designed to illuminate a field which not only includes general linguistics and the study of linguistics as applied to specific languages, but also covers those more recent areas which have developed from the increasing body of research into the manifold forms of communicative action and interaction. For "classic" linguistics there appears to be a need for a review of the state of the art which will provide a reference base for the rapid advances in research undertaken from a variety of theoretical standpoints, while in the more recent branches of communication science the handbooks will give researchers both an verview and ...
Data Mining and Learning Analytics
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Bus...
Paddling With the Current
"Claude Couture describes our inheritance from the Trudeau era as fractured between notions of collectivity and individual rights. Couture dissects this seeming paradox by examining the very nature of Trudeau's liberalism."--BOOK JACKET.
The Reception of Husserlian Phenomenology in North America
This book presents a historiographical and theorical analysis of how Husserlian Phenomenology arrived and developed in North America. The chapters analyze the different phases of the reception of Edmund Husserl’s thought in the USA and Canada. The volume discusses the authors and universities that played a fundamental role in promoting Husserlian Phenomenology and clarifies their connection with American Philosophy, Pragmatism, and with Analytic Philosophy. Starting from the analysis of how the first American Scholars of Edmund Husserl's thought opened the door to the reception of his texts, the book explores the first encounters between Pragmatism and Husserlian Phenomenology in American ...
Data Science Using Python and R
Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python a...
The Politics of Citizenship in Europe
In this book, Marc Morjé Howard addresses immigrant integration, exploring the far-reaching implications of one of the most critical challenges facing Europe.
