How can learning data help us to predict and verify the impact of learning strategies?
Curated Resources on Learning Analytics
Learning analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
~ Society for Learning Analytics Research
Evaluation has always been an important part of training and education, but learning analytics takes data collection and analysis to an entirely different level. People are interested in the possibility that data can be more predictive rather than simply reporting on results.
Many education technology vendors are using the data they collect on learner activity to shape their products, to create individualized learning paths, and to compile reports to teachers and administrators. Personalized and adaptive learning is powered by data analytics. The stated intent is to improve learning effectiveness and outcomes.
This explosion of data tracking is not without its critics. There is deep concern about data privacy – about the use of student data for profit motive, and the use of employee data for individual monitoring and decision making.
The resources on this page span two arenas: corporate talent management and academic contexts. While the needs in each of these arenas are different, both contexts benefit from advances and lessons learned in the other.
// Analytics in Corporate Training and Development and Talent Management >
In the corporate space, data analytics is often focused on linking learning and performance, or trying to predict outcomes of talent development and retention efforts.
- 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)
- The Age of Big Data: A progress report for organizations and HR (preview edition). (i4cp, 2013) Download from here (info required)
- 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)
- New Learning Analytics for a New Workplace. By Reuben Tozman. (T+D, February 2012)
- The Geeks Arrive in HR: People Analytics is Here. By Josh Bersin (Forbes, February 2015)
- 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)
- 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)
- 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. Purchase links: ATD Press, Barnes & Noble, Amazon.
// Analytics in the Education Sector >
The education sector is interested in capturing outcomes as well, but they are also looking at how to leverage technology to enable various kinds of individualized learning at scale.
- 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.
- Why Learning Analytics Matters in Higher Education (video, 3 min), PARFramework, no date
- Learning Analytics: Advancing the science of learning (video, 50 min), George Siemens at the University Forum for Teaching and Learning (2015)
Cautions about the use of learner data to shape educational experiences
While the use of learning analytics holds a great deal of promise, there is growing concern about privacy and security in the collection of data, who has access, and how it is being used. These concerns are especially pronounced in higher education, but similar cautions might be raised in corporate data applications as well.
- Why theory matters more than ever in the age of big data. By Alyssa Friend Wise and David Williamson Shaffer. (Journal of Learning Analytics 2(2), 2015)
- Are colleges invading their students’ privacy? By Sophie Quinton (The Atlantic, April 2015)
- Maggie’s Digital Content Farm. By Audrey Watters (Hybrid Pedagogy, November, 2014)
// Personalized and Adaptive Learning >
If you aren’t familiar with the concepts of personalized and adaptive learning, these articles will give you background. These pieces focus on applications in higher ed, but the same principles apply in designing corporate learning and development technology-based programs as well.
- 7 Things You Should Know About Personalized Learning, EDUCAUSE, 2015
- Knewton Adaptive Learning: Building the world’s most powerful education recommendation engine (pdf). Knewton, no date – a vendor’s point of view.
- What Faculty Should Know About Adaptive Learning. By Michael Feldstein, 2013
// Web Sites >
Data Analytics in Business and L&D
- Center for Talent Reporting – an industry-led initiative to develop and promote the adoption of reporting standards for human capital that meet the needs of senior executives, talent management leaders, program managers, and other stakeholders.
- 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.
- CEB Metrics that Matter – You’ll need to leave contact info to download whitepapers and view webinars.
Data Analytics in Higher Ed
- PAR Framework – analytics for higher ed
- Association for the Assessment of Learning in Higher Education – their resource page is awesome.
- Society for Learning Analytics Research – a consortium of researchers in learning analytics, and an online journal, The Journal of Learning Analytics
Last updated: June 21, 2016 by Catherine Lombardozzi
This page is part of a collection of resources curated by Learning 4 Learning Professionals
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