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<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">From:</span></b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif""> upac-request@list.arizona.edu [mailto:upac-request@list.arizona.edu]
<b>On Behalf Of </b>Catts, Roxie L - (catts)<br>
<b>Sent:</b> Friday, April 03, 2015 11:48 AM<br>
<b>To:</b> upac@list.arizona.edu<br>
<b>Subject:</b> [UPAC] Civitas demo for academic advisors<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">Join us to learn more about how
</span></b><b><span style="font-size:12.0pt;color:#1F497D">academic advisors</span></b><b><span style="font-size:12.0pt;color:black"> can use predictive analytics to improve student success!
<u>April 30<sup>th</sup>, 8:30am - 10:</u></span></b><b><u><span style="font-size:12.0pt;color:#1F497D">0</span></u></b><b><u><span style="font-size:12.0pt;color:black">0am in the SUMC Ventana Room</span></u></b><span style="color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">The UA <a href="https://cio.arizona.edu" target="_blank">
Office of the Chief Information Officer</a>, <a href="http://studentaffairs.arizona.edu/" target="_blank">
Student Affairs</a>, <a href="http://provost.arizona.edu/" target="_blank">Provost’s Office</a>, and
<a href="http://uair.arizona.edu/" target="_blank">University Analytics and Institutional Research</a> 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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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">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
<b><i>Inspire for Advisors</i></b> on <u>April 30<sup>th</sup>, 8:30-10:00 am in the SUMC Ventana Room</u>. Your questions and input will be important as the University considers adopting this user interface.
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<p class="MsoNormal"><b><i><span style="font-size:12.0pt;color:black">Inspire for Advisors
</span></i></b><span style="font-size:12.0pt;color:black">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><span style="color:black"><o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;color:black">For more information, contact:
<b>Angela Baldasare, PhD,</b> Assistant Provost, University Analytics and Institutional Research, 520-626-2885 or
<a href="mailto:baldasar@email.arizona.edu" target="_blank">baldasar@email.arizona.edu</a></span><span style="color:black"><o:p></o:p></span></p>
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