On October 6th, Leah gave a short presentation on key themes and ethical issues identified by the authors of this paper..
Slade, S., & Prinsloo, P. (2013). Learning analytics: Ethical issues and dilemmas.
American Behavioral Scientist, 57(10), 1510-1529. doi:10.1177/000276421347936
…and we had a healthy discussion about data ethics for a learning analytics era.
It’s a complex and multidimensional area, but some universities have already made good headway in developing policy and ethical guidelines:
See for example:
Ethical use of Student Data for Learning Analytics Policy (UK Open University)
Code of practice for learning analytics
This week we watched this video from
Educause which had various professionals discussing why measuring learning is difficult.
Some key ideas from the video that had us talking were descriptions of the process of learning as a “black box” or “magic”. We tried to bring the discussion of measuring and studying learning into the context of learning analytics.
Check it out
A set of current 30-minute videos:
Talk Data to Me Webinar Series: How to Excel Using Tableau
Talk Data to Me Webinar Series: Rapid Fire Tips & Tricks
Talk Data to Me Webinar Series: Hot Dirty Sets
Talk Data to Me Webinar Series: How to Excel Using Tableau, Part 2
Talk Data to Me Webinar Series: Become a Mix Master with Data Blending
Talk Data to Me – Data in the Wild: Transforming Excel, text, and other stuff into data you can use.
Talk Data to Me Webinar Series: Table Calculations: A First Foray
Talk Data to Me: Data Visualization Best Practices
Talk Data to Me Webinar Series: Salesforce Canvas