blackboard analytics - aarhus universitet · predictive analytics defined “predictive analytics...

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September 14th, 2017

Richard Burrows, Analytics Business Manager

richard.burrows@blackboard.com

@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

24000

24500

25000

25500

26000

26500

27000

27500

28000

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