This document discusses how universities can use advanced analytics and real-time data to help students succeed. It recommends universities leverage analytics to determine potential problems, predict learning needs, evaluate support options, and provide proactive guidance from admission through graduation. Real-time analytics can help track student behavior and needs to guide decisions and actions toward academic success.

1. Decide
on best measure
Determine
root cause of
potential problem
Determine
student
& learning profile
Predict learning
needs
& student success
Collect student
& learning behavior
Evaluate
options for
proactive measures
Graduate
student
Engage
and guide student
Retain
student
Provide
proactive student
support in real-time
Sources:
1
“Workforce 2020: Building a Strategic Workforce for the Future,” Oxford Economics, 2014
http://www.oxfordeconomics.com/workforce2020
2
“NMC Horizon Report: 2015 Higher Education Edition,” NMC, 2015
http://cdn.nmc.org/media/2015-nmc-horizon-report-HE-EN.pdf
3
Massive Online Open Course, Wikipedia, Last Modified April 2016
https://en.wikipedia.org/wiki/Massive_open_online_course
Leverage advanced analytics to guide student success, overcome obstacles,
and facilitate positive learning behaviors from admission to graduation.
http://spr.ly/DigitalHigherEducation
Proactive Student Engagement
>50%
71%
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The Digital Institution
Universities play a unique role in the shaping the world by disseminating
knowledge, producing advanced research, and preparing students to play a
productive and fulfilling role their communities.
Support Students in Real-Time
Real-time analytics can help universities track student learning behavior and
potential needs in advance, and can proactively guide decision making and
actions toward academic success and graduation.
Workforce that will be from the
millenial generation by 20202
10m
Students enrolled in massive open
online courses (MOOCs)1
Students aged 16-24 who indicated
they want to use wearable technologies
in class3
Educational demand, faster learning cycles, and increasing
expectations are driving advances in digital platforms at universities.
Learning in the
Digital World