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Welcome to the
Analytics 3-Day Sprint
FUNDING PROVIDED BY THE
Bill and Melinda Gates
Foundation
SPRINT SPONSOR AND SILVER PARTNER
Visit IBM Analytics for Education
Day 1:
What Does Analytics Mean for
Higher Education?
Speakers
Dr. Freeman
Hrabowski
President,
University of Maryland,
Baltimore Campus
(UMBC)
Bio:
http://www.umbc.edu/a
boutumbc/president/ind
ex.php
Speakers
Mr. Jack Suess
VP of IT & CIO
UMBC
Bio:
http://www.educause.edu/members/jo
hn-j-suess
http://doit.umbc.edu/about-doit/vp-
cio/
Speakers
Dr. Michael Dillon
Director, Office of
Institutional Research
UMBC
Bio:
http://www.educause.edu/members/mic
hael-dillon
Institutional Transformation
Good
Questions
Being
Honest
Using Data
Innovative
Strategies
Execution
Culture
Why Analytics is Important
• Analytics, combined with leadership, is
one way to break through an institutional
culture that often resists change?
• Leaders do this by asking questions that
force the institution to be honest with itself,
gather evidence, and regularly reflect on
how they can do better.
Resources for Institutional
Transformation
1. David Brooks, The Social Animal: The Hidden Sources
of Love, Character, and Achievement
2. Larry Bossidy, Execution – The Discipline of Getting
Things Done
3. Hrabowski, Suess, Fritz – Assessment and Analytics in
Institutional Transformation, EDUCUASE Review,
September 2011
http://www.educause.edu/ero/article/assessment-and-analytics-
institutional-transformation
4. Hrabowski, Rous, Suess, Fritz – Podcast on Lessons
Learned in Institutional Transformation,
http://www.umbc.edu/ER2011.
UMBC Activities on Student Learning
• Chemistry Discovery Center
http://www.umbc.edu/window/discovery_center.html
• CASTLE – Active Science Teaching and
Learning Environment
http://www.umbc.edu/cnms/CASTLE
• Blackboard reports
http://umbc.edu/oit/newmedia/blackboard/stats/
• Office of Institutional Research Studies
http://www.umbc.edu/oir
USM Dashboard
http://www.usmd.edu/usm/adminfinance/IR/reports/DBI_2011_final_for_web.pdf
Blackboard Reporting
Using Analytics in Telling the
Story
2011 Campus Retreat Poster
Session on Analytics
We asked -- What if you knew?
• Who your students are? Where they come from?
• How well they are doing? Overall and in specific classes?
• If they were persisting beyond the first year? Second year?
• Who are your students that are most at risk? How long it
takes your students to graduate?
• What courses your students are taking? In your program and
outside your program?
• More about the students taking your courses?
• If you were meeting course demand and supporting progress
toward degree completion?
Making the Case For Analytics
By Using Analytics – Then You Could…
• Target marketing and recruitment efforts
• Enhance advising practices
• Increase opportunities for faculty and peer
engagement
• Strengthen school, community and alumni
relationships
• Identify opportunities for cross department
collaboration
• Develop student engagement experiences
• Maximize use of limited resources
http://www.youtube.com/watch?v=PjbYm-FUjws
REX Data Includes
Student Administration
• Admissions
• Financial Aid
• Enrollment/Registration
• Student Performance
• Retention/Graduation
Other Data
• Trouble ticket data
• LMS Learning Analytics
• Project Tracking data
• Financial Data (State
accts)
Coming later in AY 2012-13
• Grant Data (planned for
early 2013)
• Faculty productivity data
Data Management Committee
Meets twice a year to review progress made by various teams and
solicit feedback on specific issues and prioritizations.
VPs & Deans
Data
Warehouse
Team (Weekly)
Assigns REX
tickets,
manages
changes to
warehouse &
reporting envir.
Chair: IR
Rep: IR, IT, EM,
Cont. Ed
Deans’
Representation
Campus Systems
Executive Committee
(Twice Monthly)
Chairs: CIO & AVP EM
IT Steering Committee
(Monthly)
Chair: Vice Provost
REX User
Group
(2X Monthly)
Informal
meeting to
discuss users
needs and
specific
reports. Could
be used to
discuss
training
options.
Chair: IT
Rep: IR, IT ,EM,
Stud Affairs, Cont.
Ed, Dean Offices
Data Quality
Team
(ad hoc)
Comprised of
data managers
from various
functional
offices to
develop and
monitor data
integrity
processes
Chair: IR
Rep: IR, IT, EM,
Cont. Ed,
Bud&Fin, HR, Res
Life
Data Access &
Security Team
(ad hoc)
Manages
access to and
security levels
in PS and
REX, including
confidentiality
issues
Chair: IT
Rep: IR, IT, EM,
Cont. Ed,
Bud&Fin, HR, Res
Life
Setup Tables
Team (ad hoc)
Manages
changes to
plans and
subjects as
well as the
rollups to orgs,
colleges, etc.
Chair: EM
Rep: IR, IT, EM,
Bud&Fin, HR, Res
Life
Training Team
(ad hoc)
Manages
training
material for
both SA and
REX
Chair: IT
Rep: IR, IT, EM,
Cont. Ed,
Bud&Fin, HR, Res
Life
Student Demographic Report
Time to Degree by Major
Questions?

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ESPNT121umb pptx.pptx

  • 2. FUNDING PROVIDED BY THE Bill and Melinda Gates Foundation
  • 3. SPRINT SPONSOR AND SILVER PARTNER Visit IBM Analytics for Education
  • 4. Day 1: What Does Analytics Mean for Higher Education?
  • 5. Speakers Dr. Freeman Hrabowski President, University of Maryland, Baltimore Campus (UMBC) Bio: http://www.umbc.edu/a boutumbc/president/ind ex.php
  • 6. Speakers Mr. Jack Suess VP of IT & CIO UMBC Bio: http://www.educause.edu/members/jo hn-j-suess http://doit.umbc.edu/about-doit/vp- cio/
  • 7. Speakers Dr. Michael Dillon Director, Office of Institutional Research UMBC Bio: http://www.educause.edu/members/mic hael-dillon
  • 9. Why Analytics is Important • Analytics, combined with leadership, is one way to break through an institutional culture that often resists change? • Leaders do this by asking questions that force the institution to be honest with itself, gather evidence, and regularly reflect on how they can do better.
  • 10. Resources for Institutional Transformation 1. David Brooks, The Social Animal: The Hidden Sources of Love, Character, and Achievement 2. Larry Bossidy, Execution – The Discipline of Getting Things Done 3. Hrabowski, Suess, Fritz – Assessment and Analytics in Institutional Transformation, EDUCUASE Review, September 2011 http://www.educause.edu/ero/article/assessment-and-analytics- institutional-transformation 4. Hrabowski, Rous, Suess, Fritz – Podcast on Lessons Learned in Institutional Transformation, http://www.umbc.edu/ER2011.
  • 11. UMBC Activities on Student Learning • Chemistry Discovery Center http://www.umbc.edu/window/discovery_center.html • CASTLE – Active Science Teaching and Learning Environment http://www.umbc.edu/cnms/CASTLE • Blackboard reports http://umbc.edu/oit/newmedia/blackboard/stats/ • Office of Institutional Research Studies http://www.umbc.edu/oir
  • 12.
  • 14.
  • 15.
  • 17. Using Analytics in Telling the Story
  • 18. 2011 Campus Retreat Poster Session on Analytics We asked -- What if you knew? • Who your students are? Where they come from? • How well they are doing? Overall and in specific classes? • If they were persisting beyond the first year? Second year? • Who are your students that are most at risk? How long it takes your students to graduate? • What courses your students are taking? In your program and outside your program? • More about the students taking your courses? • If you were meeting course demand and supporting progress toward degree completion?
  • 19. Making the Case For Analytics By Using Analytics – Then You Could… • Target marketing and recruitment efforts • Enhance advising practices • Increase opportunities for faculty and peer engagement • Strengthen school, community and alumni relationships • Identify opportunities for cross department collaboration • Develop student engagement experiences • Maximize use of limited resources
  • 21. REX Data Includes Student Administration • Admissions • Financial Aid • Enrollment/Registration • Student Performance • Retention/Graduation Other Data • Trouble ticket data • LMS Learning Analytics • Project Tracking data • Financial Data (State accts) Coming later in AY 2012-13 • Grant Data (planned for early 2013) • Faculty productivity data
  • 22. Data Management Committee Meets twice a year to review progress made by various teams and solicit feedback on specific issues and prioritizations. VPs & Deans Data Warehouse Team (Weekly) Assigns REX tickets, manages changes to warehouse & reporting envir. Chair: IR Rep: IR, IT, EM, Cont. Ed Deans’ Representation Campus Systems Executive Committee (Twice Monthly) Chairs: CIO & AVP EM IT Steering Committee (Monthly) Chair: Vice Provost REX User Group (2X Monthly) Informal meeting to discuss users needs and specific reports. Could be used to discuss training options. Chair: IT Rep: IR, IT ,EM, Stud Affairs, Cont. Ed, Dean Offices Data Quality Team (ad hoc) Comprised of data managers from various functional offices to develop and monitor data integrity processes Chair: IR Rep: IR, IT, EM, Cont. Ed, Bud&Fin, HR, Res Life Data Access & Security Team (ad hoc) Manages access to and security levels in PS and REX, including confidentiality issues Chair: IT Rep: IR, IT, EM, Cont. Ed, Bud&Fin, HR, Res Life Setup Tables Team (ad hoc) Manages changes to plans and subjects as well as the rollups to orgs, colleges, etc. Chair: EM Rep: IR, IT, EM, Bud&Fin, HR, Res Life Training Team (ad hoc) Manages training material for both SA and REX Chair: IT Rep: IR, IT, EM, Cont. Ed, Bud&Fin, HR, Res Life
  • 23.
  • 25. Time to Degree by Major

Hinweis der Redaktion

  1. Need michaels photo.
  2. Freeman will discuss this in his remarks to diana’s question DIANA: In your article, Assessment and Analytics in Institutional Transformation, you postulated that : Assessment and analytics, supported by information technology, can change institutional culture and drive the transformation in student retention, graduation, and success. Can you elaborate on that?
  3. Slide displays when Freeman is answering diana on this question DIANA: Freeman, you mentioned Analytics, what role does analytics play and is it important?
  4. Slide displays when Freeman is answering diana on this question DIANA: Freeman, you mentioned Analytics, what role does analytics play and is it important?
  5. Slide displays when Freeman is answering diana on this question DIANA: Freeman, you mentioned Analytics, what role does analytics play and is it important?
  6. Slide in response to diana’s question DIANA: How have the trustees engaged institutional analytics initiatives?
  7. Slide in response to diana’s question DIANA: How have the trustees engaged institutional analytics initiatives?
  8. Slide in response to diana’s question DIANA: How have the trustees engaged institutional analytics initiatives?
  9. Slide in response to diana’s question DIANA: How have the trustees engaged institutional analytics initiatives?
  10. Slide in response to diana’s question – when jack starts to speak. DIANA: How have the trustees engaged institutional analytics initiatives?
  11. Slide in response to diana’s question Where have you seen the most value accrue from UMBC analytics initiatives? What has surprised you - either positively or negatively?
  12. Where have you seen the most value accrue from UMBC analytics initiatives? What has surprised you - either positively or negatively? Slides displays when michael starts to talk
  13. Where have you seen the most value accrue from UMBC analytics initiatives? What has surprised you - either positively or negatively? Slides displays when michael starts to talk
  14. DIANA: That brings up a question, how did you pay for the analytics initiative and how do you sustain it? Freeman, did you get any criticism for allocating scarce resources. Jack how do you handle governance? Jack Will note that this is part of our IT as a Game Changer article and that we have a 20 minute discussion between four leaders Yvette mozie-ross, associate provost, enrollment manageent Michael Dillon, Director of OIR Kevin Joseph, Asst. Director, Business Intelligence Jack Suess, VP of IT
  15. This slide goes up in response to the question DIANA: That brings up a question, how did you pay for the analytics initiative and how do you sustain it? Freeman, did you get any criticism for allocating scarce resources. Jack how do you handle governance?
  16. DIANA: That brings up a question Diana: Jack and Michael, how does this fit into the broader IT goverance. Nu
  17. Michael will explain the report and how we are trying ot use graphics to leverage more visual information