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Nancy G. Rodriguez-Lorta</div>
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<div><b>From:</b> "Catts, Roxie L - (catts)" <<a href="mailto:catts@email.arizona.edu">catts@email.arizona.edu</a>><br>
<b>Date:</b> April 22, 2015 at 1:52:30 PM MST<br>
<b>To:</b> "<a href="mailto:upac@list.arizona.edu">upac@list.arizona.edu</a>" <<a href="mailto:upac@list.arizona.edu">upac@list.arizona.edu</a>><br>
<b>Cc:</b> "Baldasare, Angela Y - (baldasar)" <<a href="mailto:baldasar@email.arizona.edu">baldasar@email.arizona.edu</a>><br>
<b>Subject:</b> <b>[UPAC] Reminder: Civitas Learning Presentation featuring Inspire for Advisors</b><br>
<b>Reply-To:</b> "Catts, Roxie L - (catts)" <<a href="mailto:catts@email.arizona.edu">catts@email.arizona.edu</a>><br>
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<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;"><strong>Advisors:
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I hope the winds of priority registration have begun to subside and that you have marked your calendars for the Civitas Learning Presentation next Thursday, April 30th. Please review the message below and let Dr. Angela Baldasare know if you have any questions
prior to the presentation.<br>
Best-<br>
Roxie<br>
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Join us to learn more about how </strong></span></font><font color="#1F497D" size="3"><span style="font-size:12pt;"><strong>academic advisors</strong></span></font><font size="3"><span style="font-size:12pt;"><strong> can use predictive analytics to improve
student success! </strong></span></font><font size="3"><span style="font-size:12pt;"><strong><span style="text-decoration: underline;">April 30</span></strong></span></font><font size="-1"><strong><span style="text-decoration: underline;"><sup>th</sup></span></strong></font><font size="3"><span style="font-size:12pt;"><strong><span style="text-decoration: underline;">,
8:30am - 10:</span></strong></span></font><font color="#1F497D" size="3"><span style="font-size:12pt;"><strong><span style="text-decoration: underline;">0</span></strong></span></font><font size="3"><span style="font-size:12pt;"><strong><span style="text-decoration: underline;">0am
in the SUMC Ventana Room</span></strong></span></font></span></font></div>
<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;"> </span></font></span></font></div>
<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;">The UA
</span></font><a href="https://cio.arizona.edu" target="_blank"><font size="3"><span style="font-size:12pt;">Office of the Chief Information Officer</span></font></a><font size="3"><span style="font-size:12pt;">,
</span></font><a href="http://studentaffairs.arizona.edu/" target="_blank"><font size="3"><span style="font-size:12pt;">Student Affairs</span></font></a><font size="3"><span style="font-size:12pt;">,
</span></font><a href="http://provost.arizona.edu/" target="_blank"><font size="3"><span style="font-size:12pt;">Provost’s Office</span></font></a><font size="3"><span style="font-size:12pt;">, and
</span></font><a href="http://uair.arizona.edu/" target="_blank"><font size="3"><span style="font-size:12pt;">University Analytics and Institutional Research</span></font></a><font size="3"><span style="font-size:12pt;"> are partnering with Civitas Learning
to combine data from the University’s student information system (PeopleSoft/UAccess Analytics), learning management system (D2L), and the tutoring management system (TutorTrac). This data is leveraged, through predictive analytics, to develop or refine services
and interventions, as well as inform effective practices and policy. Applying predictive analytics to student success in higher education is still a relatively new practice with currently only a small group of universities taking this comprehensive an approach.
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<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;"> </span></font></span></font></div>
<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;">Civitas Learning has developed applications that put this integrated data and predictive analytics in the hands of academic
advisors. You are invited to attend a live demonstration of </span></font><font size="3"><span style="font-size:12pt;"><strong><em>Inspire for Advisors</em></strong></span></font><font size="3"><span style="font-size:12pt;"> on
</span></font><font style="background-color: rgb(255, 255, 0);" size="3"><span style="font-size: 12pt; background-color: rgb(255, 255, 0);"><span style="text-decoration: underline; background-color: rgb(255, 255, 0);"><span style="background-color: rgb(255, 255, 0);">April
30</span></span></span></font><font style="background-color: rgb(255, 255, 0);" size="-1"><span style="text-decoration: underline; background-color: rgb(255, 255, 0);"><sup style="background-color: rgb(255, 255, 0);"><span style="background-color: rgb(255, 255, 0);">th</span></sup></span></font><font style="background-color: rgb(255, 255, 0);" size="3"><span style="font-size: 12pt; background-color: rgb(255, 255, 0);"><span style="text-decoration: underline; background-color: rgb(255, 255, 0);"><span style="background-color: rgb(255, 255, 0);">,
8:30-10:00 am in the SUMC Ventana Room</span></span></span></font><font size="3"><span style="font-size:12pt;">.
<strong><em>Your questions and input will be important as the University considers adopting this user interface.</em></strong>
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<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;"> </span></font></span></font></div>
<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;"><strong><em>Inspire for Advisors
</em></strong></span></font><font size="3"><span style="font-size:12pt;">enables advisors to quickly assess which students are at risk of non-persistence, understand what’s driving their needs and personalize the assistance that may be required to help that
particular student or groups of students. Informed by predictive analytics, advisors are empowered to understand student engagement levels, their continuation probability and key drivers of risk to inform and track their interventions.</span></font></span></font></div>
<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font color="#1F497D"> </font></span></font></div>
<div style="margin:0;"><font face="Calibri,sans-serif" size="2"><span style="font-size:11pt;"><font size="3"><span style="font-size:12pt;">For more information, contact:
</span></font><font size="3"><span style="font-size:12pt;"><strong>Angela Baldasare, PhD,</strong></span></font><font size="3"><span style="font-size:12pt;"> Assistant Provost, University Analytics and Institutional Research, 520-626-2885 or
</span></font><a href="mailto:baldasar@email.arizona.edu" target="_blank"><font size="3"><span style="font-size:12pt;">baldasar@email.arizona.edu</span></font></a></span></font></div>
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