Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. The ethics of learning analytics will therefore need to be developed on criteria specific to education.

Content as a Service


Tracking of use and analytics. This data set can be used to generate powerful analytic tools that can measure an individual’s strengths and weaknesses, and use this information to drive personalization. (In In future blog posts, I’ll elaborate on how analytics can drive personalization.). In conjunction with user tracking data and analytics, the delivery of the content can be personalized to the needs, habits, and preferences of the user.


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My 25 Years of Ed Tech

Stephen Downes: Half an Hour

Diversity University started out as an educational MUD; Walden University was also an early adopter, and a whole bunch more. I had designed OLe so that it used free-standing 'modules', and the IMS-LOM was perfect for this. Anyhow, I document many uses of learning analytics here.

Nothing Has Changed. Everything Has Changed.

Charles Jennings

Sundials and Water Clocks As technologies such as sundials and water clocks evolved to allow us to measure time more accurately and efficiently we adopted them. We produced smarter modules and courses, better learning pathways, or integrated new technologies but the overall outcome was to make the learning landscape more complex and full of ‘busy work’. " However, despite concerns and opposition, railway time was rapidly adopted across the world.

Change 183

The Big Shift: Challenge and Opportunity for Women

John Hagel

  As pressure increases, there is tendency to adopt a zero sum view of the world – if someone else gains, I necessarily must lose.  We must be deeply analytical, dispassionately seeking to understand the world around us.   If women want to participate in the effort, they must be prepared to adopt and embrace this masculine archetype. This knowledge is usually experienced holistically rather than reducible to abstract categories and isolated modules.

Module 203

The Best of Times, The Worst of Times: opportunities and challenges for the L&D profession

Charles Jennings

ON THE SURFACE THERE IS GENERAL SATISFACTION WITH EXISTING LEARNING INTERVENTIONS The vast majority of people attending learning events or learning interventions (classroom training, eLearning modules, virtual sessions) reported that they were satisfied with the event or intervention (in the survey 84% declared they were satisfied or very satisfied).

Survey 181

How to Help Students Succeed by Taking Ownership of Their Learning Online Through Personal Learning

Stephen Downes: Half an Hour

How to have module based schedules. For me has actually been one of the major motivations for me adopting this approach. This is an unedited transcript created by the Google Sound Recording on the Pixel 4 (the main reason I bought this phone in fact) of the webinar I gave July 30, 2020.

How To 218

The 2016 Look at the Future of Online Learning

Stephen Downes: Half an Hour

Listen to this, from the 'Context' section: "it it is not technology that drives adoption; it is the institutional strategy, the changing nature of the student population and the decisions of individual instructors and faculty members." Predictive analytics will grow in significance in terms of student retention and learner support. And we don't need predictive analytics, we just need good sensors and good calculation mechanisms - how many calories did my 13 km walk burn?

E-Learning Generations

Stephen Downes: Half an Hour

Second, it created the idea that these content modules orchunks were sharable. Themajor technologies have been commercialized and are moving rapidly towardcommodification and enterprise adoption. Thecontent itself could have been anything - we have since run courses in criticalliteracies, learning analytics, and personal learning environments. Consider 'learning analytics', for example, which is anattempt to learn about the learning process by examining a large body of data.