sas: analytics, artificial intelligence and data management - … · 2018-05-08 · insight into...
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From Academy to Industryan experimental Student Journey
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?
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“Education is, today at least, a black box.
Society invests significantly in primary, secondary, and
higher education. Unfortunately, we don’t really know
how our inputs influence or produce outputs.
We don’t know, precisely, which academic practices
need to be curbed and which need to be encouraged.”
George Siemens
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Find ways to gain competitive advantage
Fighting to attract and retain the best students
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Trends and Challenges
Source: https://www2.deloitte.com/content/dam/Deloitte/nl/Documents/deloitte-analytics/deloitte-nl-data-analyse-student-analytics-fact-based-student-services.pdf
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The Institution Perspective
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The Student Perspective
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hidden in the data that universities already have
The competitive advantage is there to be found
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Road to a comprehensive Student Journey
1
2
3
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Uncertainty
1
Shortlist
Application
Information Gathering
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Development
2 Academic Experience
Career Services
Booking & Course Registration
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Go-to-Market
Career Counseling
Professional Experience
Alumni Network
3
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Road to a comprehensive Student Journey
Uncertainty 1
Development 2
Go-to-Market 3
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as personalized as your Netflix account?
What if Universities could provide an experience
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Educational Data Mining & Learning Analytics
HOW?
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Educational Data Mining
Educational Data Mining can be defined as a science focused on developing new
tools and algorithms for discovering data patterns using University’s data
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Learning Analytics
Learning Analytics focuses on applying tools and techniques at larger scales in
instructional systems mixing data from several sources
?
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Student Journey: an Analytical Approach
Information Gathering
Improve Targeted Marketing
Use Right Channel
Shortlist
Competitors Analysis
Influential Factors Analysis
Application
Smart Students Selection
Employability Analysis
Booking & Course Registration
Propensity to miss payment
Course/Student Best Match
Academic Experience
Propensity to Drop-off
Likelihood to Succeed
Career Services
Best Matching Industry
Students Segmentation
Go-To-Market
Social Network Analysis
Sentiment Analysis
Student Satisfaction Study
University Brand Recognition
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Use Case: a Performance Analysis
Predictive model to estimate Propensity to Complete the CourseModel
Predict yearly students with higher and lower propensities to
complete the course they are enrolled inGoal
Universe
Technique
Implementation
Details
Students enrolled in the Informatics Engineering course between
2007 and 2014
Logistic Regression
Main Outcomes 73% AUC ROC
(1) Identify main factors influencing students success/failure
(2) Invest in support for students with lower propensities
(3) Create a career path for students with higher propensities
Software SAS Enterprise Miner via SAS OnDemand for Academics
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… to help students throughout their academic journey
Our goal is to deliver an integrated offering…
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Some Expected Deliverables
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Potential Advantages
▪ More likely to find the best-suited study program
▪ Excellent and personal service experience
▪ Greater chance of student success
▪ More effective by being able to focus on the
students that need counseling
▪ Insight into the relation between student
behavior and student success
▪ More student success (often leading to financial gains)
▪ Better reputation through better service experience
▪ Lower costs to give better advice and more targeted services
▪ Optimized processes, policies and service based on insights in student behavior
▪ Make a necessary change - over the next couple of years, data-driven will become the norm
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Thank you!