Building an Evidence Based Practices Culture 5 TH ANNUAL APPALACHIAN - - PowerPoint PPT Presentation

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Building an Evidence Based Practices Culture 5 TH ANNUAL APPALACHIAN - - PowerPoint PPT Presentation

Building an Evidence Based Practices Culture 5 TH ANNUAL APPALACHIAN HIGHER EDUCATION NETWORK CONFERENCE DR. SHAWN M. BERGMAN JENNIFER WILSONKEARSE Who are these people? Evidencebased decisionmaking Barends, E., Rousseau, D.M.,


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  • DR. SHAWN M. BERGMAN

JENNIFER WILSON‐KEARSE

Building an Evidence‐ Based Practices Culture

5TH ANNUAL APPALACHIAN HIGHER EDUCATION NETWORK CONFERENCE

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Who are these people?

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Evidence‐based decision‐making

Barends, E., Rousseau, D.M., & Brinner, R.B. (2014). Evidence‐based management: The basic principles. Amsterdam: Center for Evidenced‐Based Management.

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How did we get here?

https://www.rand.org/content/dam/rand/pubs/occasional_papers/2006/RAND_OP170.pdf

School Improvement Planning 1970’s Measurement Driven Instruction 1980’s School‐based Strategic Planning 1990’s No Child Left Behind 2000’s Data‐Driven Decisions 2010’s

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Data‐driven decisions: Where are we now?

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Ignoring the evidence: Even the scientists

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No regard for science: Hollywood too?

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Culture Data and evidence‐based decisions: The cycle and the culture

Measure Analyze Report Act

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Data and evidence‐based decisions: The cycle and the culture

DAM! DAM! DAM!

Culture

Measure Analyze Report Act

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Discussion overview

1 2 3

Analytics & Education

Working Together

Next Steps

Finding the Right Mix

Do’s & Don’ts

Data‐Driven Cultures

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Analytics: What is it?

Scientific process transforming data into insights to better

decisions

  • Discover
  • Visualize
  • Communicate

Institute for Operations Research and the Management Sciences (2014)

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Four Analytic Applications

Prescriptive Analytics

How to prevent bad things from happening and ensure good things?

Predictive Analytics

What is going to happen?

Diagnostic Analytics

What are the relationships?

Descriptive Analytics

What’s happened?

Retrospective Future

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Advisory analytics: Dashboards and embedded interactive results

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Innovation: Analytics and education

Services Received Academic Performance Engagement and Absences FAFSA Completion Efficacy and Mindset College Going Culture

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Great!

What could possibly go wrong?

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Applied Data Analytics: More than just numbers

Industry People Methodology Algorithms Technology

Bergman, S.M. (2016, December). Applied data analytics: It is not all about the numbers. Presentation made to the Appalachian State University Walker College of Business, Boone, NC.

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Applied Data Analytics: It is about people

People

Bergman, S.M. (2016, December). Applied data analytics: It is not all about the numbers. Presentation made to the Appalachian State University Walker College of Business, Boone, NC.

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Culture Data and evidence‐based decisions: The cycle and the culture

Measure Analyze Report Act

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Espoused values and observable actions: Creating the desired culture

Observable Actions

Do you act like it is important?

Espoused Values

What do you say is important?

Desired Culture

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Espoused values and observable actions: The culture gap

Desired Culture Actual Culture Observable Actions

Do you act like it is important?

Espoused Values

What do you say is important?

Desired Culture

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Culture do’s and don’ts: Removing barriers to data‐driven decisions

  • 1. Have a vision and purpose
  • 2. Solicit from all levels
  • 3. Get the right information
  • 4. Build trust and be positive
  • 5. Be open to new possibilities
  • 6. Get people what they need
  • 7. Expect and reduce anxiety
  • 8. Train and provide resources
  • 9. Reinforce progress

10.Communicate ROI

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Culture do’s and don’ts: Removing barriers to data‐driven decisions

Have a vision and purpose Be open to new possibilities Reinforce progress Build trust and be positive

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Data Analytics Process: Think about the end at the beginning

Systematic way to implement data and analytics Ensures projects produce desired results Iterative process that requires collaboration

Institute for Operations Research and the Management Sciences (2014)

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Have a vision and purpose: Problem framing

  • Most important, because it sets expectations and

limitations

  • Establishes a firm foundation on which analytics will be

implemented

Institute for Operations Research and the Management Sciences (2014)

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Culture do’s and don’ts: Removing barriers to data‐driven decisions

Have a vision and purpose Be open to new possibilities Reinforce progress Build trust and be positive

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Build trust and be positive: Align your values and actions

Trust in data

  • Data collected has to be accurate

Build positive relationships with people Be positive and up front

  • Make sure values and actions align
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Build trust and be positive: Align your espoused values and actions

Balboni, F., Finch, G., Reese, C.R., & Shockley, R. (2013). Analytics: A blueprint for value. Converting big data and analytics insights into results. IBM Institute for Business Value Made by Mugdha Damle

Trust in people (Balboni, Finch, Reese, & Shockley, 2013)

  • Lack of trust one of most significant hurdles

Make sure you have a communication strategy

  • In the absence of information
  • People will _____ the blanks
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Culture do’s and don’ts: Removing barriers to data‐driven decisions

Have a vision and purpose Be open to new possibilities Reinforce progress Build trust and be positive

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ANALYTICS: SIGNAL AND NOISE

Teams Refs Make Bad Calls Against

Your Team The Other Team

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Research and analytics: Signal and noise

No evidence of bias in favor of top‐rated teams Found bias in favor of underdogs

  • Bias varied by conference
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This is a test: This is only a test

Write down how many times the players wearing white passed the ball.

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Know yourself: Be open to new possibilities

Richard Feynman

“The first principle is that you must not fool yourself – and you are the easiest person to fool.”

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Be open to new possibilities: Unexpected results

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Culture do’s and don’ts: Removing barriers to data‐driven decisions

Have a vision and purpose Be open to new possibilities Reinforce progress Build trust and be positive

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Reinforce progress: People like to be reinforced

Action Result Reward

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Reinforce progress: People like to be reinforced

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Reinforce progress: People like to be reinforced

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Communicate ROI: People like to know what has been done

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Culture and analytics: Working together

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Culture change: But what can I do?

  • 1. Be concrete with specific changes you

would like to make

  • 2. Make small changes that will have lasting

impact

  • 3. Pilot study and proof of concepts

a) Gain buy‐in b) Build trust

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Thank you!

  • Dr. Shawn M. Bergman

Shawn.Bergman@velainstitute.org Jennifer Wilson‐Kearse Jennifer.Wilson‐Kearse@velainstitute.org