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J I S C AT
L E E D S
T R I N I T Y
U N I V E R S I T Y
O U R J I S C J O U R N E Y S O F A R
18-19
• Student Liaison
and Engagement
officers(SLEOs)
were sourcing and
storing
engagement data
via spreadsheets –
SLEOs finding info
anyway they could
– post-it notes,
paper registers,
passing
conversations.
19-20
• Pilot of Digital
Register (DR)
began, - before
and during the
covid-19 pandemic
with only sport
academic
department.
• Covid had a large
impact, and
escalated the roll
out. LTU were also
in talks with Jisc.
20-21
• LTU launched
Learner Analytics
with Jisc, with key
academic
representatives to
trial the system
before full launch
ensuring any
hiccups were
ironed out.
21-22
• LTU then launched
university wide,
across all levels
from Foundation
year up to level 6.
• By May 2022,
2400 students
were being
supported – a
huge contrast to
how many
students were
supported pre-LA
of around 1800 in
a full academic
year.
W H AT W E L E A R N E D
D U R I N G O U R P I L O T
A N D F I R S T Y E A R S I N C E
L A U N C H I N G
• LTU chose not to validate data - now
considering to do so in the future for
more accurate data.
• Cannot always rely on data – human
intervention always needed and learnt
to use facility to back up findings and
data.
• Ensuring in house processes were
streamlined to work fully with Jisc – for
example ensuring module start and end
dates were correct for a streamlined
approach.
• More students’ needing support than we
ever recognised before as they were
slipping through the net, and data helps
to find them.
• Training is key – ensuring all staff are
fully trained by mandatory training and
drop-in sessions.
• Poor staff engagement has a
detrimental effect on how to support
students, and all staff needed onboard
to create success.
H O W W E A R E U S I N G D ATA N O W
Identifying at risk students; via engagement, non subs,
resits, etc.
Look at students’ VLE, Teams, Attendance data.
RAG indicators – helpful at engagement meetings and
give a better picture of students engagement.
Utilise notes section – gives context of student
academic life.
Engagement meetings carried out every 4 weeks to discuss at
risk students by looking at VLE, module, teams data etc – and
assign outcome.
Increasing amounts of data, creating a fuller picture and
support for students’ who need it.
D ATA V S P E O P L E
• Human interaction is always needed
at LTU – students are a name and
not a number
• At engagement meetings data
supports our decisions but it is
always made with a wider view –
SLEOs, academics, PTs, etc.
• Inconsistencies and lag times in data
– room for human error, so SLEOs
and engagement meetings help to
iron out the data and not cause
unnecessary concern.
• GDPR compliant – better than paper
systems etc. keeps all data in one
place and secure, little room for data
breaches.
• Data to prove and support appeals,
Extenuating Circumstance
applications, and withdrawals – as
before paper registers and such like
weren’t concrete evidence

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JISC at Leeds Trinity University

  • 1. J I S C AT L E E D S T R I N I T Y U N I V E R S I T Y
  • 2. O U R J I S C J O U R N E Y S O F A R 18-19 • Student Liaison and Engagement officers(SLEOs) were sourcing and storing engagement data via spreadsheets – SLEOs finding info anyway they could – post-it notes, paper registers, passing conversations. 19-20 • Pilot of Digital Register (DR) began, - before and during the covid-19 pandemic with only sport academic department. • Covid had a large impact, and escalated the roll out. LTU were also in talks with Jisc. 20-21 • LTU launched Learner Analytics with Jisc, with key academic representatives to trial the system before full launch ensuring any hiccups were ironed out. 21-22 • LTU then launched university wide, across all levels from Foundation year up to level 6. • By May 2022, 2400 students were being supported – a huge contrast to how many students were supported pre-LA of around 1800 in a full academic year.
  • 3. W H AT W E L E A R N E D D U R I N G O U R P I L O T A N D F I R S T Y E A R S I N C E L A U N C H I N G • LTU chose not to validate data - now considering to do so in the future for more accurate data. • Cannot always rely on data – human intervention always needed and learnt to use facility to back up findings and data. • Ensuring in house processes were streamlined to work fully with Jisc – for example ensuring module start and end dates were correct for a streamlined approach. • More students’ needing support than we ever recognised before as they were slipping through the net, and data helps to find them. • Training is key – ensuring all staff are fully trained by mandatory training and drop-in sessions. • Poor staff engagement has a detrimental effect on how to support students, and all staff needed onboard to create success.
  • 4. H O W W E A R E U S I N G D ATA N O W Identifying at risk students; via engagement, non subs, resits, etc. Look at students’ VLE, Teams, Attendance data. RAG indicators – helpful at engagement meetings and give a better picture of students engagement. Utilise notes section – gives context of student academic life. Engagement meetings carried out every 4 weeks to discuss at risk students by looking at VLE, module, teams data etc – and assign outcome. Increasing amounts of data, creating a fuller picture and support for students’ who need it.
  • 5. D ATA V S P E O P L E • Human interaction is always needed at LTU – students are a name and not a number • At engagement meetings data supports our decisions but it is always made with a wider view – SLEOs, academics, PTs, etc. • Inconsistencies and lag times in data – room for human error, so SLEOs and engagement meetings help to iron out the data and not cause unnecessary concern. • GDPR compliant – better than paper systems etc. keeps all data in one place and secure, little room for data breaches. • Data to prove and support appeals, Extenuating Circumstance applications, and withdrawals – as before paper registers and such like weren’t concrete evidence