what can institutional big data tell us - mark northover - auckland university of technology
TRANSCRIPT
Some initial findings and thoughts
What can Institutional BIG DATA tell us?
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Some initial work
• The following few slides are courtesy of the AUT Strategy and Planning department
• Used with permission and thanks
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Auckland University of Technology
• Student numbers on the rise (currently 2nd largest university in NZ)
• Student retention rates protect 5% of our funding.
2012 2013 2014 201515000
17000
19000
21000
Total students Retention rate
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Institutional survey
• What stage are you at – use the TLCANZ app to respond to the poll
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Behavioural Correlation with Success
• There is a positive relationship between borrowing library books and student success
• More pronounced in Pacific students
• Very similar pattern when you look at ‘interactions’ with Blackboard
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But what about attendance?
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What measures can tell us about students on campus?
You’re ‘around’ here
Wi-Fi
PC Lab - Using
Printing - Collecting
Timetabled Lectures
Timetabled Tutorials
Library - Books
Cashiers
Payment Kiosks
Laptop Loan Attendance Register
You ‘should’ be here
You ‘are’ here
Attendance Audit
Someone ‘is’ here
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Some typical students?
JessLily Stan StephBobby
Attendance Rate
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1 2 3 4 5 6 7 8 9 10 11 120%
10%20%30%40%50%60%70%80%90%
100%
Semester week
Aver
age
Wee
kly
Atte
danc
e Ra
te
Jess: No stamina!
Lily: Teacher’
s petStan:
Where’s the
campus?
Steph: OMG! Exam time!
Bobby: Late
bloomer
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How do they do?
Size of Different Attendance Group
Teacher's pet No staminaOMG, exam time Late bloomerWhere's the campus?
Teacher's Pet
Late Bloomer
OMG, Exam Time
No Stamina Where's the
Campus?
0%10%20%30%40%50%60%70%80%90%
100%
Paper Pass Rate of Different Attendance Groups
Learning Analytics
Collecting, analysing and reporting data about students in order to improve learning outcomes and student success
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What the students think
“I would love an app so I can keep up with my classes, grades and
appointments all in one place. I would really
really like to know where I am with grades
compared to the rest of the class”
“This system is fun. It will motivate and makes you feel more inclined to put more effort in, and the lecturers can measure your effort through this system”
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Where to next?
• Blackboard data imported nightly
• Exploring what data is available
• What, why and how???
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PowerView
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Can we trust the data?
Data warehouse
Google Analytics
???
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What happened to the 2014 login count?
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Understanding what the data means
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Some emerging Bb discoveries
Student grade correlates with average Bb login count
No surprises there!
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GPA against school decile rating
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GPA per faculty
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What are your expectations of institutional data?
• padlet.com/mark_northover/TLCANZ16
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What are we hoping to achieve?
• As yet, still unsure
• Waiting for a lightning bolt of inspiration
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