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Desire2Learn Advanced Learning Analytics

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Title: Desire2Learn Advanced Learning Analytics


1
Desire2LearnAdvanced Learning Analytics
Ronald Mol Desire2Learn ronald.mol_at_desire2learn.
com
2
Learning Analytics
3
What is it?
4
Why is it important?
5
Demonstration
6
Student Success System
a holistic, analytical view of student academic
progress, including risk
7
Degree Compass
a flight plan for navigating and selecting
courses in a program
8
Advanced Learning AnalyticsD2L Differentiator
  • Big Data
  • Data Mining Algorithms
  • Advanced Visualizations
  • Less Data, More Insights

9
Why Learning Analytics?
10
Sir Kenneth Robinson
Author, Educator, and Advisor
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(No Transcript)
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The aim of Learning Analytics is to personalize
learning and, therefore, to transform teaching
and learning.
13
Three Types of Analytics
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Learning Analytics
focus is the individual student or learner
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Academic Analytics
focus is the institution, program, department,
and course
16
Enterprise Analytics
with IBM
focus is the entire enterprise and includes all
systems and data
17
Product Overview
  • Less Data, More Insights

18
Analytics Reporting
Student Success System


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Big Data
Only education analytics solution built on an
top of a scalable, enterprise-class data
warehouse
20
Deep Learning Insights
R3Analytics Advanced Reporting
Recipient of Brandon Hall Groups Gold Medal
for technology innovation.
21
Next-Generation Learning Analytics
advanced visualizations
for diagnosis and deep insights
S3Student Success System
open architecture
for flexible enterprise integration
22
D2L Analytics High-Level Architecture



Extraction, Transformation Loading (ETL)
Predictive Modeling Engine
Enrollment
Course Access
Web
Content Access
Tool Access
Statistics Layer
Assessments
PackagedAnalyticsApplications
Mobile
Competencies
Learning Outcomes
Rubrics
Internet Usage
Database

PackagedAnalyticsData Services
Curriculum Mapping
D2L Analytics Data Warehouse
API
Visualization Layer
Devices
CustomAnalytics Applications
Data Domain Layer
Transactional Data Sources
Access Layer
23
Three Levels of Analytics (Maturity)
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Analytics Maturity Levels
past
what happened?
present
what is happening now?
information value
insight
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current state
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Analytics is finding an optimal to a desired
future
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Demonstration
28
Student Success System
a holistic, analytical view of student academic
progress, including risk
29
Degree Compass
a flight plan for navigating and selecting
courses in a program
30
Navigation
Which courses in my program are optimal?
Which program(s) or major is optimal?
Which career(s) is optimal?
(in development)
31
(No Transcript)
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What ingredientsgo into the ratings?
  • Global centrality
  • Major centrality
  • Grade prediction

33
(No Transcript)
34
Thank You
ronald.mol_at_desire2learn.com
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