We have had a few conversations with them but no demo. Basically they use Wi-Fi logs along with IDM and SIS information to generate classification tables for student behaviors, then calculate student percentage in each category using some type of statistical algorithm. They can then feed this information into your student success system. My opinion is that there are legal/privacy concerns not to mention PR issues with this type of data mining.
In addition, the U.S. Supreme Court just heard arguments about whether people have a reasonable expectation of privacy in their location for a lengthy period of time based on cell site information. The analysis in this case will likely apply to this type of situation. Currently, the law states that there’s no reasonable expectation but, at least according to some commentators, the justices seemed to be concerned by this. Here’s an article discussing the case: https://www.nytimes.com/2017/11/29/us/politics/supreme-court-digital-privacy.html Below are the requirements that we gleamed from the calls: Wireless data: * Historical syslogs - multiple formats we can receive this * Router MAC Address/ID, timestamp, User MAC Address/ID, User Identity (if available) * Preferably 6+ months of historical data * Map of network access points * Router ID, building name, Router name (optional), Longitude & Latitude (preferred, but optional) IDM: * IDM - historical device ownership, needs to go back as far as network syslogs * Device MAC address, student ID (or other identifier) Banner: * Demographic information * Profile features (not limited to): Home state, High school GPA, SATs, Ethnicity, Gender, Adult learner or Age, First-gen, Scholarship Amount, Pell Grant, Socio-economic class, Degree - Major/Minor, Degree Type - 2 or 4 year, Credit Hours, GPA, Transfer Student, Honors, Athlete, University Employment * Class information * Classes: Course name, course times (days of week and hours in day), course location (historical for length of syslog history) * Student schedule * Student class schedule (historical over length of network history): course name, semester, course ID, drop/add history (optional) Feel free to contact me directly if you want to discuss. Steve / Stephen Belcher Assistant Director of Network Operations WVU Information Technology Services (304) 293-8440 office steve.belc...@mail.wvu.edu From: The EDUCAUSE Wireless Issues Constituent Group Listserv [mailto:WIRELESS-LAN@LISTSERV.EDUCAUSE.EDU] On Behalf Of Mike Atkins Sent: Tuesday, January 2, 2018 9:57 AM To: WIRELESS-LAN@LISTSERV.EDUCAUSE.EDU Subject: [WIRELESS-LAN] Degree Analytics? Did anyone talk to Degree Analytics at Educause? Or better yet, has anyone attempted a demo yet? Our library seems interested in Degree Analytics and I’d like to have at least a little information about how the system works and what the requirements are before engaging a serious discussion with customers. Our library says they specialize in wireless networking analytics but the website makes no mention of wireless. https://www.degreeanalytics.com/ Mike Atkins Network Engineer Office of Information Technology University of Notre Dame Phone: 574-631-7210 ---- .__o ----- _-\_<, --- (*)/'(*) ********** Participation and subscription information for this EDUCAUSE Constituent Group discussion list can be found at http://www.educause.edu/discuss. ********** Participation and subscription information for this EDUCAUSE Constituent Group discussion list can be found at http://www.educause.edu/discuss.
