Kmi.open.ac.uk/publications/pdf/kmi-12-01.pdf. Net.educause.edu/ir/library/pdf/ELI7079.pdf. Penetrating the Fog: Analytics in Learning and Education (EDUCAUSE Review. George Siemens (gsiemens@gmail.com) is with the Technology Enhanced Knowledge Research Institute at Athabasca University.
Phil Long (longpd@uq.edu.au) is a Professor in the Schools of ITEE and Psychology and is Director of the Centre for Educational Innovation & Technology at the University of Queensland. Comments on this article can be posted to the web via the link at the bottom of this page. Attempts to imagine the future of education often emphasize new technologies—ubiquitous computing devices, flexible classroom designs, and innovative visual displays. But the most dramatic factor shaping the future of higher education is something that we can’t actually touch or see: big data and analytics. Basing decisions on data and evidence seems stunningly obvious, and indeed, research indicates that data-driven decision-making improves organizational output and productivity.1 For many leaders in higher education, however, experience and “gut instinct” have a stronger pull.
Data Explosion Notes. Society for Learning Analytics Research. Vital Hub: Welcome to ELLI. Open Learning Analytics: A proposal. Learning analytics are increasingly relevant, and prominent, in education.
Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector. Many of the companies that serve the higher education market– including Sungard, Blackboard, and Pearson – are already heavily committed to analytics. Analytics is quickly becoming a term that gets slapped onto any existing product (remember social media from a few years ago? Suddenly, everything was “social”. In education, everything is becoming “data” and “analytics”). To some degree, all educators are involved in analytics. Given the importance of analytics in education, we need to have an early discussion on openness. To address the need for openness of platforms, algorithms and ensure that the learning process remains a key focus, a group of us have proposed the development of an open learning analytics architecture/platform. Learning Analytics: Ascilite 2011 Keynote. Learning Analytics: Dream, Nightmare, or Fairydust?
From today’s keynote at Ascilite 2011, here’s the podcast plus the slides. I am grateful to Gary, Renee and everyone else at Ascilite for their understanding and flexibility, since after months of planning this trip, unfortunately I could not be there in person after my father passed away last weekend. For those of you who like to download and watch offline: podcast [Hi-Res version: 93.3Mb] + slides [PPTX/PDF] For detailed descriptions of work presented here, see other posts tagged learning analytics and the references below.
Abstract Pervasive digital technology is weaving a fabric around our lives which makes it increasingly hard not to leave digital traces. One answer is it’s time to upgrade our computing kit. Then there are those of a more cautious nature.