The Long & Siemens article "Penetrating the Fog: Analytics in Learning and Education" (2011) situates our examination in the context of learning analytics' data sources, levels of analysis, and value propositions. The article concludes with questions for further consideration.
What data is collected
When data is collected
How data is collected, stored, and secured
Why data is collected (how it will be used)
Who has access to data (including third parties)
How and when data will be securely disposed of (if ever), and
Breach response plans for when data security is compromised.
In "What We Know About Technology-Mediated Advising Reform," the Community College Research Center at Columbia discusses the need for concomitant changes in institutional culture and processes alongside implementation of technology to support integrated planning and advising for student success (iPASS). The main takeaway here is that technology is only so good as it supports sustained, meaningful face-to-face engagements between students and advisers.