ABLE - TILT conference poster - the NTU Student Dashboard
1. The NTU Student Dashboard
ABLE Project: 2015-1-BE-EPPKA3-PI-FORWARD
STELA Project: 562167-EPP-1-2015-1-BE-EPPKA3-PI-FORWARD
Average engagement is a very strong
predictor of success
Average engagement whole year (2015-16)
Low HighGoodPartial
Progression%
9.5% 81.3% 92.0% 94.9%
There is a strong association between
student log ins to the Dashboard and
success
Progression%
72.4% 89.8%81.4%
1 log in 4-6 log ins 20+ log ins
Total log ins for the year (2015-16)
There are strong risks associated with “No
Engagement” alerts
No Engagement alerts are raised where a student has not
engaged with any data input sources for 2 weeks
Number of ”No Engagement” alerts
Progression%
0 1 2 5+
84.1% 55.1% 25.0% 2.9%
!
Dashboard TutorStudent
Metrics
Raw data &
engagement rating
Student engagement
with course
Metrics & alerts
Engagement
with students
presented
to
students
students
act
presented
to
tutors
more-informed
interactions
International, BME and first in HE students are all more likely to find the Dashboard more useful than their peers
(NTU Student Transition Survey 2016-17, n=753, first year students only)
0% 20% 40% 60% 80% 100%
Spoke to someone providing specialist help
(for example student support services/
library) as a result of looking at information
on the Dashboard
Spoke to your tutor
Increased the amount of time you spend
studying
Changed your behaviour to raise or maintain
your engagement score (for example made
sure that you swiped to go into a building)
Checked your attendance
% Of students who responded 'yes- very often, often or sometimes'
Student actions after logging in to the Dashboard
(n=753, Feb/Mar 2017)
0
5,000
10,000
15,000
20,000
25,000
30,000
2014-15 2015-16
Individualstudentusers
Year
Number of students who
logged in
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
2014-15 2015-16
Totalstudentlogins
Year
Total number of student
log-ins
0
5,000
10,000
15,000
20,000
25,000
2014-15 2015-16
Totalstafflog-ins
Year
Total number of staff
log-ins
0
500
1,000
1,500
2,000
2,500
2014-15 2015-16
Individualstaffusers
Year
Number of staff who
logged in