blackboard analytics - aarhus universitet · predictive analytics defined “predictive analytics...
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September 14th, 2017
Richard Burrows, Analytics Business Manager
@rburrowsbb
Blackboard Analytics
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Use Cases for Learning Analytics & Learners’ Data
Course Management & DeliveryProviding instructors with info on engagement & performance of students
Institutional EffectivenessIdentify issues with educational design, delivery and consistency of Blackboard Learn use
Student Retention & SuccessIdentify students at risk of failing courses, graduating late or dropping out
Developing Reflective LearnersProviding students with insights into their own learning
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Institutional EffectivenessAssessment Bottlenecks
5Discussion Forum AssignmentContent Test Wiki
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Student Retention & Success
Which students aren’t going to pass their courses ?
Which students will not graduate on time?
Which students are likely to leave?
Which students aren’t submitting activities (assessments, assignments, discussion posts)?
Which students are engaged but aren’t performing well?
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Predictive analytics defined
“Predictive analytics is the process of learning from historical data in order to make predictions about the future (or
any unknown).”Rock Heal+h report
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Predictive Analytics is Everywhere
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INTERVENTIONS
Context & Research
Assuming a school with 30,000 students and a starting retention rate of 55%
1-3 point improvement for schools with a proactive advising model
23000
23500
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0 1 point increase 3 point increase
900students retained
300students retained
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Blackboard Predict
What is it?
Blackboard Predict helps
instructors and counsellors
to identify at-risk students
early so that they can
intervene and keep them on
track to graduate with
highest possible grades and
on time.
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Blackboard PredictHow does it work?
ProblemWhat is the question you are trying to answer?
Collect DataAggregate the data from multiple sources
ModelTurn the data into valuable info (answer the question)
DistributePut the valuable info in the hands of those who can act on it
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Changes over the semester The model reflects the changing importance of data
Week 0 Week 7
,00 ,05 ,10 ,15
Current GPA
Course add weeks prior
Transfer credits
EFC
Percent of classes…
Ethnicity
Class load
Academic year
Course modality
,00 ,10 ,20 ,30 ,40
Earned over attempted
Number of page views
Earned over possible
Percent of classes passed
Days since last page view
Posts to faculty
Example
Week 0 Week 7Week 4 Week 10 Week 13Week 1
Grade History
Financial hardship
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Blackboard Predict
Who intervenes? Three Views.
STUDENTCOUNSELLORS INSTRUCTOR
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Blackboard Predict Instructor’s Dashboard
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Instructors can view an individual’s probability of passing their course
Instructor’s Dashboard
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Instructors can identifyspecificsymptomsof risk
Instructor’s Dashboard
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Counsellors’ Dashboard
Counsellors canidentify studentsegments in need of support
Understand riskfactorsand tailorinterventions
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Blackboard Predict Advisor Dashboard
Advisors canidentify individual students by name, number, or course
And filter for students who’s risk of failing is increasing
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Solution
Early insights: Texas A&M – Corpus Christi
Blackboard Predict pilot starting Fall semester 2017 and plan on larger roll-out in 2018.
TAMUCC began their partnership with strategic consulting services to maximize the value of their technology investment and garner best practices for improving student success strategies and goals.
About TAMUCC
• Public university in Texas (US) offering bachelors, master, and doctoral degrees
• 80+ programs• Serves over 12,000 students
Challenge
• Close gaps in achievement and deliver a robust campus experience
• Proactively provide student academic and other support services to assist student success and retention efforts
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Use Cases Supported by Blackboard’s Analytics Solutions
Module Management & DeliveryProviding instructors with info on engagement & performance of students
Institutional EffectivenessIdentify issues with educational design, delivery and consistency of Blackboard Learn use
Student Retention & SuccessIdentify students at risk of failing courses, graduating late or dropping out
Developing Reflective LearnersProviding students with insights into their own learning