equity by design joint cdo & ir/ie training...2020/08/12 · 30 east 7th street, suite 350 st....
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Equity by DesignJoint CDO & IR/IE Training
Office of Equity & Inclusion
August 12, 2020
Lead Facilitators• Priyank Shah, PhD, Director of Equity Assessment
• Nancy D. Floyd, PhD, Senior System Director for Research
• Josefina Landrieu, PhD, Assistant Chief Diversity Officer
• Tarrence Robertson, OEI Project Director
Agenda• Introductions
• Equity by Design & Data
• Campus Experiences - Equity & Data Implementation
• Data Challenges & Considerations
• Next Steps & Questions
Overview & Agenda
What do you think you need, in terms of training and/or support, to effectively implement Equity by Design at your institution?
Equity by Design Overview & Data
Equity-minded methodology that equips higher education leaders to address educational disparities.
• Data-informed
• Influences organizational change and development
• Prioritizes equity in academic outcomes (student success).
• System-wide implementation (Equity 2030)
Equity by Design - Overview
Elements of Equity by Design
Student-ready
institutions
Leadership philosophy
Localized context
Institutional change
Accountability
Let’s do a quick poll!
Importance of Data
• Examining disparity patterns in student outcomes − Critical for narrowing equity gaps in course level
outcomes
• Relatable & less abstract data− Course level
− Building blocks
• Facilitate process of seeing & understanding disparities
Equity by Design & Data
Aggregate Category • Moving beyond binary analysis: “Student of Color” & “Non-
Student of Color”
• Consideration of tremendously varied experiences & contexts
Imperative for Race/American Indian Disaggregation • New approaches are necessary
• Patterns revealed
• Disparate experiences, engagement, & outcomes
Data Disaggregation
1. Ethnicity Individuals are asked to designate ethnicity as:
• Hispanic or Latino
2. Race Individuals are asked to select 1 or more among following:
• American Indian or Alaska Native
• Asian
• Black or African American
• Native Hawaiian or Other Pacific Islander
• White
IPEDS Two Question Format
Race / Ethnicity Hierarchy: 7 variables 9 reporting possibilities
Nonresident
Alien
Hispanic/
Latino
Report
Yes
No
Report
Yes
No
American
Indian or
Alaskan Native
Asian
Black or
African
American
Native
Hawaiian or
Other Pac.
Islander
White
Report
Yes, to one
Report
Two or
More
Races
Race &
Ethnicity
Unknown
Report
Yes
Discussion, Q & A
Equity & Data Campus Experiences
Wendy Marson Director of Institutional ResearchInver Hills Community College & Dakota County Technical College
Lessons Learned• Figure out the level of understanding across the group about data
• This is an iterative process – every time you introduce a new data set, ensure that your group understands what you’re showing them – no one becomes an expert overnight
• +
• Anticipate very different interpretations of what you may think is straightforward information – everyone’s lens on the data is informed by their unique experiences
• Be prepared to think about the data in different ways – the Diversity Officers and the IR Directors should be talking early and often about the data and how to best help facilitate the discussions around it
• Understand the resistance to the data and try to get to the root cause –it’s often rooted in fear
Narren J. Brown, PhDVice President of Research &
Institutional EffectivenessDean of Faribault Campus
South Central College
Is your goal student success…ours is
Who are the least successful students at your college?
National trends suggest that your least successful students are:Students of Color
First Generation
Pell Eligible
How do these or any combination of these groups succeed at your institution?
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Data Information Knowledge Wisdom
Data
6.34 6.64
6.45 6.71
6.39 6.82
6.62 7.12
6.57 7.06
Information
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Wisdom
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Percentage of Entering Fall Students Taking Dev Ed Math Who Complete in Year 1
2009 2010 2011 2012 2013 2014 2015 2016
Completed Dev Ed Math in Year 1 51.55% 48.48% 50.94% 55.82% 56.81% 59.52% 55.59% 56.68%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
Information
Data
Percentage of Entering Fall Students Taking Dev Ed Math Who Complete in Year 1 by Gender and Student of Color
2009 2010 2011 2012 2013 2014 2015 2016
Female - Non SOC 57.38% 48.76% 55.39% 66.47% 61.25% 62.07% 54.55% 58.06%
Female - SOC 53.66% 45.83% 47.50% 44.00% 51.79% 49.15% 56.06% 50.79%
Male - Non SOC 48.94% 50.29% 48.15% 54.46% 57.63% 63.22% 55.06% 67.82%
Male - SOC 22.86% 38.24% 39.53% 34.04% 45.83% 58.33% 54.24% 45.90%
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%Students of Color Complete Dev Ed Math at a lower rate than non SOC
Develop an intervention to improve success for Students of Color in Dev Ed Math
The praxis of creating shared understanding
Discussion, Q & A
Data Challenges & Considerations
Data & Analytics Focus Areas
• Sharing of student information
• Interpretation & leveraging data
What & Why Do We Need to Know?
• Summary level − Retrospective focus for Equity by Design
• Student level
Data Challenges & Considerations
Interpreting Data & Decision Making• Small N’s
− Patterns & Repetition
• Interpretations & Conclusions − Critical Evaluation & Biases
• Reactions & Response − Reflected & Measured
Data Challenges & Considerations
Ethics & Confidentiality • FERPA: Family Educational Rights and Privacy Act 1974
− Protect privacy of student’s academic information
− Certain exemptions for sharing data
− Legitimate education interest & school officials
• Story Telling & Sharing Data− Public sharing of information - Caution
− Highlighting themes & notable patterns
Data Challenges & Considerations
EbD Data
• Data set development
Upcoming EbD Trainings• October 13th (2:00-4:00pm) OR
October 21st (9:30-11:30am)
• November 18th (2:00-4:00pm) ORNovember 23rd (9:30-11:30am)
Next Steps
Campus Next Steps• Review and understand the Equity by Design toolkit
• Refine campus areas of focus & goals
• Conduct capacity building activities (review articles, team and self-reflection, history in context, build equity-minded language)
• Begin equity-minded data inquiry
• Attend Fall 2020 training
Next Steps
Discussion, Q & A
Thank you for your commitment.
30 East 7th Street, Suite 350St. Paul, MN 55101-7804
651-201-1800888-667-2848
www.MinnState.edu
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