This is the fourth in my series of posts sharing the reading list from my summer emerging technologies course. So far, I’ve posted the overview, social media readings, and MOOC readings – and up this time is BIG DATA.
The conversation online focused quite a bit on privacy issues, and students were surprised about how much data is already collected and how it is being used. We didn’t reach any conclusions, of course, but several of the students have chosen topics for the final white paper, and I’ll be interested in seeing what they have to say in that context.
Enjoy these links, and feel free to share additional ones if you have recommendations.
Evaluation has always been an important part of the process in training and development; the ubiquitous Kirkpatrick model was proposed in the 1950s. Many training and development organizations, however, have a difficult time identifying, capturing, analyzing, and acting on the kind of data that can measure outcomes and prove value.
Enter big data. In the last several years, the business world has been clamoring for the power of “big data” – the practice of analyzing huge data sets and mining them for information about customers, human behaviors, correlations, and other valuable insights. HR and training and development organizations have been responding to this trend by thinking about the ways we might use big data to provide insights on learning and performance. Educators at all levels (K-12 through university) are analyzing data to discover ways to improve outcomes as well.
While some analytics have been spectacularly successful (notably in sports and politics), talent data is just beginning to get attention, and the industry is sorting out possibilities. The readings this week will give you both an introduction to key concepts related to “big data” and an overview of where the training and development industry may be heading.
Big Data in Corporate Training and Development / Talent Management
The Age of Big Data: A progress report for organizations and HR (preview edition). (PDF) (i4cp, 2013) here
Talent analytics in practice: Go from talking to delivering on big data. By Josh Bersin, John Houston & Boy Kester. (Deloitte University Press, March 2014)
Introduction to Talent Data Reporting (PDF). By Dave Vance and Peggy Parskey (Center for Talent Reporting, 2012)
The Growth of Learning Analytics: Five identifiable stages of learning analytics in the learning reporting market. By Stacey Harris and David Grebow, Brandon Hall Group. (Training, August 2013)
New Learning Analytics for a New Workplace. By Reuben Tozman. (T+D, February 2012)
Big Data in the Education Sector
Improving the Quality and Productivity of the Higher Education Sector: Policy and Strategy for Systems-Level Deployment of Learning Analytics. (PDF) By George Siemens, Shane Dawson, and Grace Lynch. (Society for Learning Analytics Research, December 2013)
The Rise of Big Data in Higher Education. Webinar by Louis Soures. (EDUCAUSE, 2012) Summary available.
inBloom to Shut Down Amid Growing Data-Privacy Concerns. By Benjamin Herold (Digital Education, April 2014)
The Future of Ed-Tech is a Reclamation Project. By Audrey Watters (Keynote at the Alberta Digital Learning Forum May, 2014)
Big Learning Data. Edited by Elliott Masie. (ASTD & The Maise Center, 2014) – this is a short book that does a terrific job giving an overview for training and development professionals, and it contains a number of case studies. Highly Recommended. On Amazon here.
From invisible to visible . . . to measurable: Social analytics extends enterprise performance improvement. By Eric Openshaw, John Hagel & John Seely Brown. (Deloitte University Press, March 2014)
8 Realities Learning Professionals Need to Know About Analytics. By Ellen Wagner. (T+D, August 2012) ASTD members can view online here.
What’s the Big Deal About Big Data? By Gail Dutton. (Training, Mar/Apr 2014)
The Role and Function of a Learning Analytics Leader (PDF). White paper by Knowledge Advisors (2013)
IBM’s Big Data web pages (the conversations page has links to a number of articles and reports)
McKinsey & Company’s Big Data and Advanced Analytics web pages.