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Subject:

Retaining Online Students: A Student Affairs and Faculty Perspective

From:

valerie kisiel <[log in to unmask]>

Reply-To:

Open Forum for Learning Assistance Professionals <[log in to unmask]>

Date:

Tue, 9 Feb 2010 12:28:16 -0700

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (91 lines)

Retaining Online Students:  A Student Affairs and Faculty Perspective 
Wednesday, March 3rd & Wednesday, March 10th ~ 
3:00-4:30 EST  (2-part workshop)

Registration - http://www.innovativeeducators.org/retention_p/776.htm

Free on-demand training - Free Tips, Tricks, and Technology Tools for Teachers

 

If you can not make this date and time, you can watch the recording.  



Overview

A case study from Rio Salado Community College, a large online college, will present best practices for promoting retention in an online learning environment.  The Faculty perspective session will highlight the innovative use of data to identify students who may need additional support.  The use of predictive modeling analytics and how it can convert this data into action by identifying learners with the highest risk of attrition and the circumstances affecting their success will be discussed.  Presenters will show how you can use this data to design a corresponding communication campaign and develop other relevant instructor strategies for retaining and reaching online students.
  

The second part of this presentation will discuss the Student Affairs perspective and will highlight the use of an innovative virtual student union called the RioLounge. Participants will also see how Rio Salado College uses online orientation to improve student retention and success. Finally, information will be provided on how CRM technology can be leveraged to encourage persistence. 

Objectives 



Part 1 (March 3rd):



Student Affairs best practices that promote online student retention

How an online orientation can support persistence and retention

The value of social networking in an online community college environment

Leveraging CRM technology to connect with online learners
Part 2 (March 10th): 



Faculty best practices that promote online student retention

How data and predictive modeling can be leveraged to promote student success

How to design a communication campaign that reaches students who are struggling

How to make it a collaborative approach with student support systems
 
Who should attend? 





Vice Presidents

Academic Deans

Enrollment Managers

Admissions Officers

Marketing Professionals

Retention Personnel

Student Service Providers

Enrollment Management Committee Members

Faculty Members
 
Who are the speakers?


Kishia Brock is the dean of Enrollment Management at Rio Salado College. She has over ten years of experience in developing support services and retention and recruitment outreach programs for online learning students. In her current position at Rio Salado, Kishia oversees the development of the college strategic enrollment management plan and oversees the areas of Academic Advisement, Admissions, Records and Registration, Program Admissions, Recruitment and Outreach Services. Brock received her B.A. in Spanish and her M.Ed. in Educational Leadership from Northern Arizona University. She is currently pursuing her Ph.D. in Higher Education Leadership and Enrollment Management at Capella University. 

Shannon Corona the Faculty Chair for the Physical Sciences Department at Rio Salado College. She has held this position since July 2008.  She has been a Residential Faculty member with Rio Salado for the past 4 years.  Shannon currently facilitates training of new Adjunct Faculty, provides student support and works with over 50 Physical Science Faculty to provide effective online instruction. She holds a BA in Biology from the University of Arizona, a MA in Educational Leadership from Arizona State University and is pursuing her PhD in Professional Studies from Capella University. 
 
Adam Lange is a programmer analyst in the Institutional Research department at Rio Salado College. He has researched and applied multiple data mining and predictive modeling methods in support of several initiatives across the college, including student success, retention, recruitment, academic integrity, and budgeting. Mr. Lange has a B.S. in Computer Science from Arizona State University.
 
 		 	   		  
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