Day 1 Presentation Kristyn Muller Presentation: National Data, SUNY Trends, and Campus Reality: What Does Our Data Tell Us? http://opensunysummit2018.edublogs.org/2017/12/11/osdashboards/ Open SUNY Summit 2018 - Annual conference for the SUNY online teaching and learning community of practice. https://commons.suny.edu/cotehub/ February 28 - March 2, 2018, SUNY Global Center, NY, NY. Conference website: http://opensunysummit2018.edublogs.org/ Program: http://opensunysummit2018.edublogs.org/about/program/ Recordings: http://opensunysummit2018.edublogs.org/mediasite/ Materials: http://opensunysummit2018.edublogs.org/registration/materials/ Open SUNY Online Teaching: http://commons.suny.edu/cote/

1. National Data, SUNY Trends,
and Campus Reality:
What Does Our Data Tell Us?
KRISTYN MULLER
OPEN SUNY SUMMIT
FEBRUARY 28, 2018

2. Presentation Overview
Data Sources
◦ IPEDS
◦ Report examples
◦ National Surveys
◦ SUNY Data Warehouse
◦ Open SUNY Data
◦ Open SUNY Dashboards
◦ Campus-Specific Data
Discussion
◦ Data Accuracy
◦ Next Steps

3. Data Source: IPEDS
Reported by Each Campus
◦Institutional Characteristics
◦ Whether you have distance education courses and/or programs at
the undergraduate and/or graduate levels
◦Completions
◦ # of completions by CIP code and program level (by ethnicity and
gender) - check yes if program is offered as a distance education
program
◦Enrollment
◦ # of online students (Exclusively Online and Some, but Not All
Online) by student level
◦ # of Exclusively Online students by student level and residency

4. IPEDS: Used for National Reports
Digital Learning Compass

5. IPEDS: Used for State Reports
New York Report

6. Data Source: National Surveys
CHLOE: The Changing Landscape of Online Education (2017)

7. Data Source: National Surveys
Recruiting, Orienting, & Supporting Online Adjunct Faculty (2015)

8. Data Source: SUNY Data
Student Term Section (SIRIS)
◦ Course Section Information
◦ Online Course Section Indicator (Asynchronous, Synchronous, Combined – Hybrid NOT counted as online)
◦ Student Demographics and Term Enrollment Status
◦ Online Student Intent (Y/N)
◦ Student Sections, Credits, Grades, etc.
Academic Programs Data (APES)
◦ Academic Program Information
◦ Approval for distance education format (at least 50% online)
◦ Open SUNY+ Indicator (Y/N & Start Date)
Faculty Data
Student Opinion Survey

9. Data Source: Open SUNY Data
Website (open.suny.edu)
◦ Online Programs
◦ Student Leads/Inquiries (Ranku)
◦ Google Analytics
Contracts/Surveys/Data Collection Efforts
◦ Some examples:
◦ Campus LMS
◦ Campus status with HelpDesk, Application Services, LMS Host
◦ Campus status with Enrollment Planning Roundtable and Institutional Readiness
◦ Campus usage of OSCQR and other faculty supports
Open SUNY Student & Faculty Longitudinal Surveys

10. Open SUNY Campus Dashboards
Most visualizations based on data from SUNY Data
(Accessed through SUNY OBIEE or reported by SUNY IR)
◦ Online Students
◦ Online Enrollment AY Trends
◦ Online Course Sections
◦ Online Registrations and Credits
◦ Online Faculty
Some visualizations based on Open SUNY Data
◦ Open SUNY Campus Info
◦ Online Recruitment
◦ Online Programs
All of the visualizations are interactive – you can filter for your campus specifically
◦ Click around – you won’t break it! (There is a reset button at the bottom.)

11. http://www.commons.suny.edu/opensuny/dashboards

20. Campus-Specific Data
Additional data a campus might have:
◦ Online program codes (and the ability to count online completions more
accurately)
◦ Online applicant indicator
◦ Other online student leads/inquiries
◦ Early term enrollment
◦ Other course classifications (i.e. flex courses)
◦ Records of online faculty training
◦ Access to online course data through LMS
Applicant Data

21. Discussion: Data Accuracy
Accuracy of Student Term Section SIRIS Data is ESSENTIAL!
◦ Online Course Section Indicator
◦ Online Student Intent (student population code)
Definitions and calculations must be consistent
◦ Discrepancies between IPEDS data and SUNY data
◦ Registrations vs unduplicated headcount
Connect with your Institutional Research staff and/or Registrar
◦ Look at any internal reports you’ve already created and see if they align with
the Open SUNY Dashboards

22. Discussion: Next Steps
Report Online Student Intent data
◦ Allows us to track online enrollment based on the students’ intention
◦ Minimizes the assumptions about Exclusively Online students
Report online completions data
◦ Preliminary data recently shared with DOODLE
Continue to use data for decision making at campus and SUNY levels
Continue to use data for online learning research

23. Questions?
Kristyn Muller
Impact Analyst
Open SUNY
kristyn.muller@suny.edu