analytics: from reflective to predictive

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David Onder Director of Assessment Casey Iannone Consultant

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Page 1: Analytics: From Reflective to Predictive

David Onder Director of

Assessment

Casey Iannone Consultant

Page 2: Analytics: From Reflective to Predictive

Background

2

Page 3: Analytics: From Reflective to Predictive

Background

3Freshmen Only

Page 4: Analytics: From Reflective to Predictive

The Problem• We are asked for program-level data

• Lack of program-level retention and graduation rates

• Complicated (particularly for undergrads)

• Different programs serve different purposes

• High stakes – program prioritization (AA driven)

• Reports lumped all non-retained together (whether they graduated or stopped out)

4

Page 5: Analytics: From Reflective to Predictive
Page 6: Analytics: From Reflective to Predictive

Reflecting on the past

Page 7: Analytics: From Reflective to Predictive

What We Wanted• Solid & simple approach (easy to explain and defend)• Fair

• Useful for all types of programs • Meaningful for decision-making (high- and low-level)• Not overly complicated display• Illuminates

• Overall performance• Historic trends• When are students lost

• Something that can be generated yearly w/o too much effort

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Page 8: Analytics: From Reflective to Predictive

5 Outcomes

• Five possible outcomes for each student that declares a given major• Retained in program

• Graduated in program

• Retained in different program

• Graduated in different program

• Not retained (stop-out/drop-out)

• Exclusive and exhaustive8

Page 9: Analytics: From Reflective to Predictive

General Approach

• Based on cohorts:• A student is placed in a program cohort the 1st time

they declare a given program

• Each student in the cohort is flagged as one of the 5 possible outcomes for each ½ year interval (each regular semester)

• At each interval we report where the members of the cohort fall

• Each student will only appear in one cohort for a program (usually)

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Page 10: Analytics: From Reflective to Predictive

Technical Approach

10

Page 11: Analytics: From Reflective to Predictive

Multiple IterationsStarted with term-level data

New Cohort @1 year @2 years @3 years @4 years @6 years

0.5 1 2 3 4 6

Year SemesterNew Cohort Prg Ret Prg Grad WCU Ret WCU Grad Not

Retained Total Prg Ret Prg Grad WCU Ret WCU Grad Not Retained Total Prg Ret Prg Grad WCU Ret WCU Grad Not

Retained Total Prg Ret Prg Grad WCU Ret WCU Grad Not Retained Total Prg Ret Prg Grad WCU Ret WCU Grad Not

Retained Total

1996 Fall 28 54% 18% 4% 0% 25% 100% 25% 46% 0% 0% 29% 100% 21% 61% 0% 0% 18% 100% 14% 64% 0% 0% 21% 100% 7% 79% 0% 0% 14% 100%1997 Spring 3 67% 0% 0% 0% 33% 100% 33% 33% 0% 0% 33% 100% 33% 33% 0% 0% 33% 100% 0% 33% 0% 0% 67% 100% 0% 33% 0% 0% 67% 100%

1997 Fall 14 50% 14% 0% 0% 36% 100% 7% 43% 0% 0% 50% 100% 14% 50% 0% 0% 36% 100% 0% 50% 0% 0% 50% 100% 0% 57% 0% 0% 43% 100%1998 Spring 4 75% 0% 0% 0% 25% 100% 25% 50% 0% 0% 25% 100% 0% 75% 0% 0% 25% 100% 0% 75% 0% 0% 25% 100% 0% 75% 0% 0% 25% 100%

1998 Fall 15 80% 7% 0% 0% 13% 100% 47% 40% 0% 0% 13% 100% 13% 53% 0% 0% 33% 100% 13% 60% 0% 0% 27% 100% 7% 67% 0% 0% 27% 100%1999 Spring 5 60% 0% 20% 0% 20% 100% 40% 0% 0% 20% 40% 100% 0% 40% 0% 20% 40% 100% 0% 40% 0% 20% 40% 100% 0% 40% 0% 20% 40% 100%

1999 Fall 4 75% 0% 0% 0% 25% 100% 25% 25% 0% 0% 50% 100% 0% 50% 0% 0% 50% 100% 0% 50% 0% 0% 50% 100% 0% 50% 0% 0% 50% 100%2000 Spring 4 75% 0% 0% 0% 25% 100% 25% 25% 0% 0% 50% 100% 25% 25% 0% 0% 50% 100% 0% 50% 0% 0% 50% 100% 0% 50% 0% 0% 50% 100%

2000 Fall 3 67% 0% 0% 0% 33% 100% 0% 0% 0% 0% 100% 100% 33% 0% 0% 0% 67% 100% 0% 33% 0% 0% 67% 100% 0% 33% 0% 0% 67% 100%2001 Spring 5 40% 0% 0% 0% 60% 100% 20% 20% 0% 0% 60% 100% 20% 20% 0% 0% 60% 100% 0% 40% 0% 0% 60% 100% 0% 40% 0% 0% 60% 100%

2001 Fall 9 56% 22% 11% 0% 11% 100% 22% 56% 11% 0% 11% 100% 22% 56% 0% 11% 11% 100% 0% 78% 0% 11% 11% 100% 0% 78% 0% 11% 11% 100%2002 Spring 5 60% 0% 0% 0% 40% 100% 60% 0% 0% 0% 40% 100% 0% 0% 0% 0% 100% 100% 0% 0% 0% 0% 100% 100% 20% 0% 0% 0% 80% 100%

2002 Fall 10 60% 10% 10% 0% 20% 100% 20% 40% 0% 10% 30% 100% 10% 50% 10% 10% 20% 100% 10% 50% 0% 10% 30% 100% 0% 60% 0% 10% 30% 100%2003 Spring 6 67% 0% 0% 0% 33% 100% 33% 33% 0% 0% 33% 100% 17% 50% 0% 0% 33% 100% 0% 67% 0% 0% 33% 100% 17% 67% 0% 0% 17% 100%

2003 Fall 11 73% 9% 0% 0% 18% 100% 36% 45% 0% 0% 18% 100% 9% 73% 0% 0% 18% 100% 0% 73% 9% 0% 18% 100% 0% 73% 0% 9% 18% 100%2004 Spring 4 75% 0% 0% 0% 25% 100% 75% 0% 0% 0% 25% 100% 25% 25% 0% 0% 50% 100% 25% 25% 0% 0% 50% 100% 0% 25% 0% 0% 75% 100%

2004 Fall 12 67% 0% 17% 0% 17% 100% 25% 42% 0% 8% 25% 100% 0% 50% 0% 8% 42% 100% 0% 50% 0% 8% 42% 100% 0% 50% 0% 8% 42% 100%2005 Spring 3 67% 0% 0% 0% 33% 100% 67% 0% 0% 0% 33% 100% 33% 33% 0% 0% 33% 100% 0% 67% 0% 0% 33% 100% 0% 67% 0% 0% 33% 100%

2005 Fall 17 71% 6% 0% 0% 24% 100% 35% 41% 0% 0% 24% 100% 12% 53% 6% 0% 29% 100% 6% 59% 0% 6% 29% 100% 0% 65% 0% 6% 29% 100%2006 Spring 8 50% 13% 0% 13% 25% 100% 25% 13% 25% 13% 25% 100% 13% 25% 13% 25% 25% 100% 0% 38% 0% 38% 25% 100% 0% 38% 0% 38% 25% 100%

2006 Fall 7 57% 0% 0% 0% 43% 100% 0% 29% 29% 0% 43% 100% 0% 29% 14% 14% 43% 100% 0% 29% 0% 14% 57% 100% 0% 0% 0% 0% 0% 0%2007 Spring 9 33% 22% 22% 0% 22% 100% 0% 56% 22% 0% 22% 100% 0% 56% 0% 11% 33% 100% 0% 56% 0% 11% 33% 100% 0% 0% 0% 0% 0% 0%

2007 Fall 13 92% 0% 0% 0% 8% 100% 38% 46% 0% 0% 15% 100% 15% 69% 0% 0% 15% 100% 8% 77% 0% 0% 15% 100% 0% 0% 0% 0% 0% 0%2008 Spring 3 33% 0% 0% 0% 67% 100% 0% 33% 0% 0% 67% 100% 0% 33% 33% 0% 33% 100% 0% 33% 0% 0% 67% 100% 0% 0% 0% 0% 0% 0%

2008 Fall 18 67% 6% 6% 0% 22% 100% 22% 50% 6% 0% 22% 100% 17% 61% 6% 0% 17% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%2009 Spring 7 57% 0% 0% 0% 43% 100% 57% 14% 0% 0% 29% 100% 29% 43% 0% 0% 29% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%

2009 Fall 15 80% 0% 7% 0% 13% 100% 27% 53% 0% 7% 13% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%2010 Spring 3 67% 0% 0% 0% 33% 100% 67% 0% 0% 0% 33% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%

2010 Fall 17 76% 0% 0% 0% 24% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%2011 Spring 6 50% 0% 0% 0% 50% 100% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%

2011 Fall 9 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%

New Cohort @1 year @2 years

0.5 1 2

Year SemesterNew Cohort Prg Ret Prg Grad WCU Ret WCU Grad Not

Retained Total Prg Ret Prg Grad WCU Ret WCU Grad Not Retained Total

1996 Fall 28 54% 18% 4% 0% 25% 100% 25% 46% 0% 0% 29% 100% 1997 Spring 3 67% 0% 0% 0% 33% 100% 33% 33% 0% 0% 33% 100%

1997 Fall 14 50% 14% 0% 0% 36% 100% 7% 43% 0% 0% 50% 100% 1998 Spring 4 75% 0% 0% 0% 25% 100% 25% 50% 0% 0% 25% 100%

1998 Fall 15 80% 7% 0% 0% 13% 100% 47% 40% 0% 0% 13% 100% 1999 Spring 5 60% 0% 20% 0% 20% 100% 40% 0% 0% 20% 40% 100%

1999 Fall 4 75% 0% 0% 0% 25% 100% 25% 25% 0% 0% 50% 100% 2000 Spring 4 75% 0% 0% 0% 25% 100% 25% 25% 0% 0% 50% 100%

This is helpful for programs, in the context of program history,

but NOT administrators

11

Page 12: Analytics: From Reflective to Predictive

Academic Year

Next combined data into academic years

12

New Cohort @1 year @4 years New Cohort 1 4

Year Semester Class LevelNew Cohort Prg Ret Prg Grad WCU Ret WCU

GradNot

Retained Total Prg Ret Prg Grad WCU Ret WCU Grad

Not Retained Total

2006-2007 Total 40 33% 0% 25% 0% 43% 100% 3% 15% 18% 26% 38% 100%Lower Division 36 28% 0% 25% 0% 47% 100% 3% 17% 19% 28% 36% 103%Upper Division 4 75% 0% 25% 0% 0% 100% 0% 0% 0% 0% 50% 50%

2007-2008 Total 27 56% 0% 7% 0% 37% 100% 15% 22% 26% 7% 78% 148%Lower Division 26 54% 0% 8% 0% 38% 100% 15% 12% 27% 4% 81% 138%Upper Division 1 100% 0% 0% 0% 0% 100% 0% 300% 0% 100% 0% 400%

2008-2009 Total 42 45% 0% 24% 0% 31% 100% 12% 7% 10% 2% 33% 64%Lower Division 38 42% 0% 24% 0% 34% 100% 13% 8% 11% 3% 34% 68%Upper Division 3 67% 0% 33% 0% 0% 100% 0% 0% 0% 0% 33% 33%

2009-2010 Total 38 50% 0% 11% 0% 39% 100% 11% 26% 18% 11% 45% 111%Lower Division 32 47% 0% 9% 0% 44% 100% 13% 22% 22% 13% 50% 119%Upper Division 6 67% 0% 17% 0% 17% 100% 0% 33% 0% 0% 17% 50%

2010-2011 Total 62 48% 0% 19% 0% 32% 100% 5% 8% 3% 5% 40% 61%Lower Division 55 42% 0% 22% 0% 36% 100% 5% 7% 4% 2% 40% 58%Upper Division 7 100% 0% 0% 0% 0% 100% 0% 14% 0% 29% 43% 86%

2011-2012 Total 51 51% 0% 22% 2% 25% 100% Lower Division 42 50% 0% 24% 0% 26% 100% Upper Division 9 56% 0% 11% 11% 22% 100%

2012-2013 Total 56 52% 0% 25% 0% 23% 100% Lower Division 44 52% 0% 27% 0% 20% 100% Upper Division 12 50% 0% 17% 0% 33% 100%

2013-2014 Total 11 64% 0% 27% 0% 9% 100% Lower Division 6 50% 0% 50% 0% 0% 100% Upper Division 5 80% 0% 0% 0% 20% 100%

Page 13: Analytics: From Reflective to Predictive

@1 year @4 years 1 4

Year Semester Class LevelNew Cohort Program Success Non-program

Success Not Retained Program Success Non-program Success Not Retained

2006-2007 Total 40 33% 25% 43% 18% 44% 38%Lower Division 36 28% 25% 47% 19% 47% 36%Upper Division 4 75% 25% 0% 0% 0% 50%

2007-2008 Total 27 56% 7% 37% 37% 33% 78%Lower Division 26 54% 8% 38% 27% 31% 81%Upper Division 1 100% 0% 0% 300% 100% 0%

2008-2009 Total 42 45% 24% 31% 19% 12% 33%Lower Division 38 42% 24% 34% 21% 13% 34%Upper Division 3 67% 33% 0% 0% 0% 33%

2009-2010 Total 38 50% 11% 39% 37% 29% 45%Lower Division 32 47% 9% 44% 34% 34% 50%Upper Division 6 67% 17% 17% 33% 0% 17%

2010-2011 Total 62 48% 19% 32% 13% 8% 40%Lower Division 55 42% 22% 36% 13% 5% 40%Upper Division 7 100% 0% 0% 14% 29% 43%

2011-2012 Total 51 51% 24% 25% Lower Division 42 50% 24% 26% Upper Division 9 56% 22% 22%

2012-2013 Total 56 52% 25% 23% Lower Division 44 52% 27% 20% Upper Division 12 50% 17% 33%

2013-2014 Total 11 64% 27% 9% Lower Division 6 50% 50% 0% Upper Division 5 80% 0% 20%

SummaryAll students lumped into 3 groups

This is the most summarized data we can (read: are willing to) provide.The bottom line = Bold 3-group number

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Page 14: Analytics: From Reflective to Predictive

But how does that compare?

This is average program data to use as a comparison

14

New Cohort @1 year @4 years New Cohort 1 4

Year Semester Class Level New Cohort Program Success Non-program

Success Not Retained Program Success Non-program Success Not Retained

2006-2007 Total 1 64% 16% 21% 44% 24% 32% Lower Division 40 62% 19% 19% 34% 30% 36% Upper Division 37 68% 9% 23% 61% 12% 27% 2007-2008 Total 2 59% 16% 25% 38% 27% 36% Lower Division 40 55% 19% 26% 26% 33% 41% Upper Division 36 67% 11% 22% 57% 16% 27% 2008-2009 Total 0 56% 19% 25% 30% 32% 38% Lower Division 27 54% 22% 24% 23% 37% 40% Upper Division 26 60% 14% 26% 43% 23% 35% 2009-2010 Total 1 39% 38% 23% 31% 28% 41% Lower Division 42 33% 41% 26% 23% 25% 52% Upper Division 38 50% 33% 17% 45% 33% 22% 2010-2011 Total 1 67% 13% 20% 57% 12% 31% Lower Division 38 59% 17% 24% 43% 15% 42% Upper Division 32 75% 9% 16% 73% 9% 18% 2011-2012 Total 2 66% 8% 26% Lower Division 64 63% 10% 27% Upper Division 55 71% 5% 24% 2012-2013 Total 3 66% 9% 25% Lower Division 51 62% 11% 28% Upper Division 42 74% 6% 20% 2013-2014 Total 3 65% 14% 21% Lower Division 58 60% 17% 23% Upper Division 44 75% 8% 16%

Page 15: Analytics: From Reflective to Predictive

2006-2007

2007-2008

2008-2009

2009-2010

2010-2011

2011-2012

2012-2013

2013-2014

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Program Success WCU Success Not Retained

Horizontal stacked bar• Normally we would never do this, but

…..

What are people asking:- How is the program performing?- How are students performing overall at institution?- How many are dropping out?

15

Page 16: Analytics: From Reflective to Predictive

We graph 5 Flags too

@ 1 year @ 4 year @ 6 year

Transitions to completers and drop-outs

16

2006-2007

2007-2008

2008-2009

2009-2010

2010-2011

2011-2012

2012-2013

2013-2014

0% 20% 40% 60% 80% 100%

0% 10%20%

30%40%

50%60%

70%80%

90%100%

0% 10%20%

30%40%

50%60%

70%80%

90%100%

Compare performance over time

Page 17: Analytics: From Reflective to Predictive

Main question

17

2006-2007

2007-2008

2008-2009

2009-2010

2010-2011

2011-2012

2012-2013

2013-2014

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

But what about next year?

Page 18: Analytics: From Reflective to Predictive
Page 19: Analytics: From Reflective to Predictive

If we study learning as a data science, we can reverse engineer the human brain and tailor learning techniques to maximize the chances of student success. This is the biggest revolution that could happen in education, turning it into a data-driven science, and not such a medieval set of rumors professors tend to carry on.

-Sebastian Thrun

Page 20: Analytics: From Reflective to Predictive

Most data is only viewed in one direction.

Page 21: Analytics: From Reflective to Predictive

A Small Window of Time Exist to

Reach Students.

Page 22: Analytics: From Reflective to Predictive

The Rising Tide Of Data.

Page 23: Analytics: From Reflective to Predictive

What is Machine Learning?

Page 24: Analytics: From Reflective to Predictive

Machine learning is the science of getting computers to act without being explicitly programmed.

-Stanford University

Page 25: Analytics: From Reflective to Predictive
Page 26: Analytics: From Reflective to Predictive

Supervised Learning

Unsupervised Learning

Page 27: Analytics: From Reflective to Predictive

Cont

inuo

usSupervised

Unsupervised

Dis

cret

eClassification

or Categorization

Regression

Clustering

Dimensionality reduction

Page 28: Analytics: From Reflective to Predictive

Cont

inuo

usSupervised

Unsupervised

Dis

cret

eClassificationo KNNo Treeso Logistic

Regressiono Naïve-Bayeso SVM

Regressiono Linearo PolynomialDecision TreesRandom Forests

Association Analysiso Apriorio FP-GrowthHidden Markov Model

Clustering & Dimensionality reductiono SVDo PCAo K-means

Page 29: Analytics: From Reflective to Predictive

Ready to enter the

Lab

Page 30: Analytics: From Reflective to Predictive

First-year Retention Example

Student Retention

Binary response:

Retained yes/no

Page 32: Analytics: From Reflective to Predictive

Brainstorm

Page 33: Analytics: From Reflective to Predictive

BrainstormCampus Assessment/Effectiveness

Framework

Data Dissemination

Key Stakeholders

Education