Yanyan Li

J. Michael Spector

Yueh-Min Huang

Ting-Wen Chang

Rob Koper

Alfred Essa

Vivekanandan Kumar

Richard A. W. Tortorella

Zhizhen Zhang

This book demonstrates teachers’ and learners’ experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how technologies can improve learning and teaching experiences. It is intended for graduates and scholars in educational technology disciplines and anyone interested in the applications of frontier technologies in education.

Emerging Technologies for Teaching and Learning

Frontiers of Cyberlearning

Shirin Mojarad

Implementing advanced analytics at scale in a competitive landscape requires the speed, agility, and mindset of an entrepreneur. It is here that organizations in the future will gain an edge. This book provides the practical guidance and theoretical background necessary to implement advanced analytics in mid- to large organizations. The theoretical component draws from the best academic research in management science, computer science, and behavioral economics. The practical component provides design patterns and case studies for implementing big data at scale in complex organizations. The design patterns take the mindset of an entrepreneur having to execute with speed and agility against the backdrop of business, technical, and stakeholder complexity. Readers will learn: Principal characteristics of Advanced Analytics and Big Data in the Enterprise Business and technical strategies for fast, affordable, and efficient implementation Strategy and implementation tactics from the point of an "entrepreneur" within a large organization Academic research rationale behind the strategies Best practices in the form of case studies

Practical AI for Business Leaders, Product Managers, and Entrepreneurs

Alfred Essa

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