Joint CDO & IR/IE Training August 12, 2020 Overview & - PowerPoint PPT Presentation

Office of Equity & Inclusion Equity by Design Joint CDO & IR/IE Training August 12, 2020

Overview & Agenda 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

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 by Design - Overview 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)

Elements of Equity by Design Leadership philosophy Localized context Student- ready institutions Institutional change Accountability

Let’s do a quick poll!

Equity by Design & Data 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

Data Disaggregation 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

IPEDS Two Question Format 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

Race / Ethnicity Hierarchy: 7 variables  9 reporting possibilities Nonresident No Alien Hispanic/ No Yes Latino Report Yes American Indian or Alaskan Native Report Yes, to one Asian Race & Report Ethnicity Black or Unknown African American Yes Native Hawaiian or Other Pac. Report Two or Islander More Report Races White

Discussion, Q & A

Equity & Data Campus Experiences

Wendy Marson Director of Institutional Research Inver 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, PhD Vice President of Research & Institutional Effectiveness Dean 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?

Data  Information  Knowledge  Wisdom Knowledge Data Information Sirius stock is on 6.34 6.64 SIRIUS SATELLITE RADIO INC. an upward trend 6.45 6.71 $7.20 $7.00 6.39 6.82 $6.80 Stock Price $6.60 6.62 7.12 Wisdom $6.40 6.57 7.06 $6.20 Buy Sirius stock $6.00 $5.80 1 2 3 4 5 6 7 8 9 10 Last 10 Days 18

Percentage of Entering Fall Students Taking Dev Ed Math Who Complete in Year 1 70.00% Data 60.00% Information 50.00% 40.00% 30.00% 20.00% 10.00% 0.00% 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%

Percentage of Entering Fall Students Taking Dev Ed Math Who Complete in Year 1 by Gender and Student of Color Students of 80.00% Color 70.00% Complete 60.00% Dev Ed Math 50.00% at a lower Develop an intervention to 40.00% rate than improve success for Students 30.00% non SOC of Color in Dev Ed Math 20.00% 10.00% 0.00% 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%

The praxis of creating shared understanding

Discussion, Q & A

Data Challenges & Considerations

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

Next Steps 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) OR November 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

Discussion, Q & A

Thank you for your commitment.

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