Transcript Author, Educator, and Advisor The aim of Learning Analytics is

Desire2Learn
Advanced Learning Analytics
Ronald Mol
Desire2Learn
[email protected]
Learning Analytics
What is it?
Why is it important?
Demonstration
Student Success System
a holistic, analytical view of student
academic progress, including risk
Degree Compass
a “flight plan” for navigating and
selecting courses in a program
Advanced Learning
Analytics
D2L Differentiator
• Big Data
• Data Mining Algorithms
• Advanced Visualizations
“Less Data, More Insights”
Why Learning Analytics?
Sir Kenneth Robinson
Author, Educator, and Advisor
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The aim of Learning Analytics is to
personalize learning and, therefore, to
transform teaching and
learning.
Three Types of
Analytics
Learning Analytics
focus is the individual
student or learner
Academic Analytics
focus is the institution, program,
department, and course
Enterprise Analytics
with IBM
focus is the entire enterprise and includes
all systems and data
Product Overview
Less Data, More Insights
D3
Enterprise
Data Warehouse
+
R3
Reporting
+
S3
Next-Generation
Learning Analytics
Big Data
one-stop shop repository
for all assessment & learning data
comprehensive data-domains
for tracking all aspects of learning
D3
massively scalable
to billions of records
Enterprise
Data Warehouse
data pledge
”all your data is yours forever”
“Only education analytics solution built on an top
of a scalable, enterprise-class data warehouse”
Deep Learning Insights
hierarchical views
for viewing data dynamically at multiple levels
historical data
for trend and comparative analysis
advanced statistics
for going beyond data to insights
access controls
R3
Analytics
Advanced
Reporting
for sharing data based on role authorization
“Recipient of Brandon Hall Group’s Gold
Medal
for technology innovation.”
Next-Generation
Learning Analytics
customized predictive models
for early intervention
advanced visualizations
for diagnosis and deep insights
S3
Student Success
System
case management
for personalized referrals and 360 student view
open architecture
for flexible enterprise integration
D2L Analytics High-Level Architecture
xtraction, Transformation & Loading (ETL)
Enrollment
Content Access
Web
Course Access
Predictive
Modeling
Engine
Tool Access
Competencies
Learning Outcomes
Packaged
Analytics
Applications
Internet Usage
ransactional Data Sources
Curriculum
Mapping
Packaged
Analytics
Data
Services
API
D2L Analytics
Data
Warehouse
Database
Rubrics
Mobile
Assessments
Devices
Custom
Analytics
Applications
Three Levels of
Analytics (Maturity)
Analytics Maturity Levels
desired future
how i want things to be
information value
predicted future
what will happen?
past
what happened?
present
what is happening now?
insight
desired future
optimal path
current state
Analytics is finding an optimal to a desired
future
Demonstration
Student Success System
a holistic, analytical view of student
academic progress, including risk
Degree Compass
a “flight plan” for navigating and
selecting courses in a program
Navigation
Which courses in my program are optimal?
Which program(s) or major is optimal?
Which career(s) is optimal?
(in development)
What ingredients
go into the ratings?
Global centrality
Major centrality
Grade prediction
Thank You
[email protected]