Book description
In today’s wired world, we interact with millions of pieces of information every day. Capturing that information and making sense of it is the revolutionary impact of big data on business—and on learning.
Thought leader Elliott Masie and Learning CONSORTIUM Members bring a powerful new book to the T&D profession. They provide a SWOT analysis of big data and implications for learning and development professionals.
Big learning data is at your fingertips. You need to know why it matters.
Find out where to start with big learning data.
Think differently about the data you have.
Understand the risks that come with big data.
Solve problems using the new perspectives and measurement support that big learning data provides.
Table of contents
- Cover
- Title
- Copyright
- Dedication, Elliott Masie
- Foreword, Tony Bingham
- Introduction, Bob Baker
- SECTION 1 Big Learning Data and Data Analysis Are Important
-
SECTION II Impacts on People in the Learning Field
- Ch4 Big Learning Data and Training Programs: Start Small to Go Big and Go Big to Go Long, Tom King
- Ch5 Big Learning Data: Three Roles of the Learning Leader, Coley O’Brien
- Ch6 Stakeholder Perspectives and Needs for Big Learning Data, Rahul Varma, Dan Bielenberg, Dana Alan Koch
- Ch7 Avoiding the Dangers of Big Learning Data, A.D. Detrick
- Ch8 Big Learning Data Risks: Privacy, Transparency, Culture, and Silly Data, Elliott Masie
-
SECTION III Approaches to Big Learning Data
- Ch9 Case Study: It’s Bigger Than Big Data— Metrics and Measurement Without a Strategy Is Just Data, Nickole Hansen, Peggy Parskey, Jennifer O’Brien
- Ch10 Case Study: Big Data, Big Difference in Training and Development, Jeff Losey
- Ch11 Case Study: Points for the Training Scoreboard, Ben Morrison
- Ch12 Case Study: Big Learning Data Sources and Analytics, Doug Armstrong
- Ch13 A Perspective From K–12: A View From the U.S. Department of Education on Big Learning Data in K–12
- Epilogue: Moving Forward, Bob Baker
- About the Authors
Product information
- Title: Big Learning Data
- Author(s):
- Release date: November 2013
- Publisher(s): Association for Talent Development
- ISBN: 9781562869090
You might also like
book
Fundamentals of Data Visualization
Effective visualization is the best way to communicate information from the increasingly large and complex datasets …
book
Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, 2nd Edition
Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, …
book
Data Science, 2nd Edition
Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice …
video
Data Science and Machine Learning (Theory and Projects) A to Z
This course is crafted to teach you the most in-demand skills in the real world. This …
