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CDE InFocus Conference (London): Big data in education - theory and practice

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Big Data in Education: Theory and Practice Presented at the CDE InFocus Conference - London December 10, 2013 Presented by Mike Moore, Sr. Advisory Consultant - Analytics Desire2Learn, Inc. Originally published http://www.slideshare.net/MikeMoore14/big-data-in-education-theory-and-practice
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Big Data in Education: Theory and Practice You have data We provide Insights™ Michael Moore, MSCIS Sr. Advisory Consultant – Analytics
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Page 1: CDE InFocus Conference (London): Big data in education - theory and practice

Big Data in Education:Theory and Practice

You have dataWe provide Insights™

Michael Moore, MSCISSr. Advisory Consultant – Analytics

Page 2: CDE InFocus Conference (London): Big data in education - theory and practice

Insi

gh

t an

d I

nfo

rmat

ion

Val

ue

D2L Integrated Learning and Advanced Analytics Platform

Risk Forecasting

Predictive Modeling

What will happen?

Stage Two

ReportingDataAccess

What has happened? What is happening?

Stage One

OptimizationStrategic

What do I want to happen?

Stage Three

Advanced Predictive

Advanced Adaptive

What do you want to happen for you??

Stage Four

ILP - Analytics Capability and Maturity Model

Page 3: CDE InFocus Conference (London): Big data in education - theory and practice

Desire2Learn Analytics Portfolio

DEGREE COMPASS™

ANALYTICS ESSENTIALS™

ANDINSIGHTS™REPORTING

TOOLS

STUDENT SUCCESS

Page 4: CDE InFocus Conference (London): Big data in education - theory and practice

Optimized for Potential Performance

“Our primary motivation for deploying Degree Compass was to respond to the unique success and retention needs of our complex student population.” Dr. Tristan Denley, | Austin Peay State University

Page 5: CDE InFocus Conference (London): Big data in education - theory and practice

What ingredients go into the ratings?

Global centrality

Major centrality

Grade prediction

Page 6: CDE InFocus Conference (London): Big data in education - theory and practice

Research Data:Grade Predictions

•Predicts grades to within 0.6 of a letter grade on average

Page 7: CDE InFocus Conference (London): Big data in education - theory and practice

Research Data:Grade Predictions

•Typical probability of achieving A or B in a course – 62%

•Degree Compass™ recommended courses – probability of A or B in a course – 85%

Page 8: CDE InFocus Conference (London): Big data in education - theory and practice

Research Data:Successful Course Completion

http://www.desire2learn.com/learninginsights/2013/11/Looking-to-Improve-Success/

Page 9: CDE InFocus Conference (London): Big data in education - theory and practice

Research Data:Attainment Gap

Minimized performance disparity based on• Socioeconomic status• Ethnicity• Gender• First-generation

enrollments

“Typical achievement gap of 20% is closed to a mere 6%.”

http://www.desire2learn.com/learninginsights/2013/11/Looking-to-Improve-Success/

Page 10: CDE InFocus Conference (London): Big data in education - theory and practice

Research Data:Attainment Gap

http://www.desire2learn.com/learninginsights/2013/11/Looking-to-Improve-Success/

Page 11: CDE InFocus Conference (London): Big data in education - theory and practice

Degree Compass™ Logical Diagram

SIS

Degree Compass™

Degree Audit System

Advisor application such as Ellucian’s Degree Works or CAPP

Student application such as Ellucian’s Banner Student

D2L’s Personalized, course recommendation app

High School transcripts, GPA, SATs, ACTs, Class

Rank, etc.

Program Audit or Inventory - Courses, Schedules, Core and

Elective Requirements, Courses taken vs courses still needed for

degree completion, etc.

Page 12: CDE InFocus Conference (London): Big data in education - theory and practice

Degree Compass™ Details

• SIS Systems– Banner v8.0

• Portals– Banner Self-Service v8.0– Luminis Portal v4.0

• Degree Audit Systems– Degree Works v4.1.0– CAPP v8.5.3

• Web Browsers– Chrome, IE, Firefox, Safari

• Mobile Platforms– iOS v4.0 (native)– Android v2.3 (non-native)

Page 13: CDE InFocus Conference (London): Big data in education - theory and practice

Science Behind Success

• Degree Compass™ composed of two predictive modeling engines and a predictive algorithm– Grade Prediction Engine/Model

• Provides accurate estimate of final grade student will likely receive

– Centrality Prediction Engine/Model • Provides accurate ranking of a program’s courses at the institution

• Degree Compass™ uses several inputs to drive predictive engines and algorithm– Student Information System (SIS)

• Banner SIS

– Degree Audit Systems (DAS) • DegreeWorks• CAPP

Page 14: CDE InFocus Conference (London): Big data in education - theory and practice

Degree Compass™ Roadmap

• TODAY: Which {course} should I choose

Incoming Freshman focus• Which {program} should I choose• Which {career} should I choose

Page 15: CDE InFocus Conference (London): Big data in education - theory and practice

Mapping this to D2L’s Solution Set

• Degree Compass™ - what are your predictors for success in the program

• Student Success System - at what points should we be concerned

• These two together are a powerful analog for the onboarding

Page 16: CDE InFocus Conference (London): Big data in education - theory and practice

Adaptive Learning

• Knowillage LeaP• Adaptive learning engine• Personalized learning experienceWhat if textbooks could learn . . . from you?

Page 17: CDE InFocus Conference (London): Big data in education - theory and practice

Example Reports

Page 18: CDE InFocus Conference (London): Big data in education - theory and practice

Performance Analytics

Page 19: CDE InFocus Conference (London): Big data in education - theory and practice

InsightsTM Achievement Reports Module

Page 20: CDE InFocus Conference (London): Big data in education - theory and practice

Achievements by Course

Page 21: CDE InFocus Conference (London): Big data in education - theory and practice
Page 22: CDE InFocus Conference (London): Big data in education - theory and practice

Mapping Reports

Page 23: CDE InFocus Conference (London): Big data in education - theory and practice

Academic Risk Report

Page 24: CDE InFocus Conference (London): Big data in education - theory and practice

Learning Environment Login

Page 25: CDE InFocus Conference (London): Big data in education - theory and practice

Subtitle

www.Desire2Learn.com

Get to Know Your Big Data

Let the dataset change your mindset.

Page 26: CDE InFocus Conference (London): Big data in education - theory and practice

Questions to Think About…

What if…• you had a reporting tool to directly support

institutional improvement initiatives?• you had a reporting tool which was focused on

support of student retention and improvement?• students could receive personalized content

before they knew what they needed?• you could identify trends and make decisions

based on free text in discussion forums?

Page 27: CDE InFocus Conference (London): Big data in education - theory and practice

Subtitle

www.Desire2Learn.com

Questions?

Michael Moore, MSCISSr. Advisory Consultant - AnalyticsDirect 888.772.0325 x6604Twitter: @[email protected]

Thank You

Page 28: CDE InFocus Conference (London): Big data in education - theory and practice

Subtitle

www.Desire2Learn.com

Desire2Learn, Campus Life, CaptureCast, Desire2Learn Binder, myDesire2Learn, Insert Stuff, Insert Stuff Framework, Instructional Design Wizard, and the molecule logo are trademarks of Desire2Learn Incorporated. The Desire2Learn family of companies includes Desire2Learn Incorporated, D2L Ltd., Desire2Learn Australia Pty Ltd, Desire2Learn UK Ltd, Desire2Learn Singapore Pte. Ltd. and D2L Brasil Soluções de Tecnologia para Educação Ltda.

Let’s transform teaching and learning, together.


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