BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.4//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:ÌÇÐÄÔ­´´
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:STANDARD
DTSTART:20191103T020000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20190310T020000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RDATE:20200308T020000
TZNAME:EDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.361961.field_event_date.0@www.wright.edu
DTSTAMP:20260220T065211Z
CREATED:20190731T145645Z
DESCRIPTION:Hosted by the Institutional Research and Analytics and the Cent
 er for Teaching and Learning.  Presented by Sherry Cox\, Jeremiah McKinley
 \, & Glenn Hansen of the University of Oklahoma.  Increasing student reten
 tion and graduation rates is a top priority in higher education. Early ide
 ntification of at risk students for intervention programs or redirection i
 nto other degree paths improves retention and graduation rates. Likewise\,
  given the increasing teacher shortage\, identifying strong candidates for
  Teacher Certification programs and graduating prepared future teachers is
  crucial. The use of predictive analytics provides a promising method in t
 he quest to increase student success at universities and colleges. Our cur
 rent predictive analytic model utilizes a machine learning algorithm\, ext
 reme gradient boosted machine\, to identify strong candidates for Teacher 
 Certification programs as well as predicting graduation and program comple
 tion. The prediction model\, built on historical data\, is being applied a
 s a retention and recruitment tool. A strategic graduation and retention a
 ction plan\, based on the model\, is in use by academic advisors and colle
 ge administrators with current students identified by the model as at-risk
  for not graduating. This webinar covers the current model and features\, 
 application and analysis with active students\, the strategic graduation a
 nd retention action plan and its implementation and use by academic adviso
 rs and college administrators to assist at-risk students\, and future dire
 ctions.   Anyone unable to attend\, please send an e-mail to (joanie.hendr
 icks@wright.edu) who will send you the webinar link - which is available a
 fter the live webinar.
DTSTART;TZID=America/New_York:20190807T140000
DTEND;TZID=America/New_York:20190807T150000
LAST-MODIFIED:20210813T202037Z
LOCATION:023 Dunbar Library
SUMMARY:Retention and Recruitment: Using a Predictive Analytic Model to Bui
 ld and Implement a Strategic Graduation and Retention Action Plan (Webinar
 )
URL;TYPE=URI:/events/retention-recruitment-using-pred
 ictive-analytic-model-build-implement-strategic-graduation
END:VEVENT
END:VCALENDAR