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Taking the next steps
to support low
engaged students
Alastair Allen, Course Leader – BA (Hons) Business Management & Marketing, NBS
Ed Foster, Student Engagement Manager, CADQ,
Session outcomes
• What is Student Engagement?
• What is the impact of engagement on student success?
• Talking about student (dis)engagement (15 mins)
• What works? (20 mins)
• Before we go any further, can we have 1-minute reflective thinking
• Please think of a student who you have dealt with who had been
disengaging & you helped get back on track
What do we mean by ‘student engagement’?
• Engaging with ’studies’
• Engaging with quality assurance
– QAA
• Engaging with student life
– E.g. volunteering
Engagement with studies
(student/course interaction)
• “A key assumption is that learning outcomes are influenced by how an individual
participates in educationally purposeful activities. While students are responsible for
constructing their own knowledge, learning is also seen to depend on institutions and
staff generating conditions that stimulate student involvement”
(Kuh, 2001, pg.12)
• “engaging in the activities of a course with thoroughness and seriousness”
– (Hockings et al., 2007, pg. 721)
• Learning is seen as a ‘joint proposition’, however, which also depends on institutions
and staff providing students with the conditions, opportunities and expectations to
become involved”
– (Coates, 2006, pg. 26)
Engagement with studies
(multi-dimensional)
• Strong criticism that SE research is often very focussed on
behaviourist ways of looking at the student
– Focus on interactions with the course, fail to see potential problems in students’
wider life
• Zepke & Leach (2012) argue that SE depends on multiple
dimensions
– Motivation & agency
– Transactional engagement: students to tutors
– Transactional engagement: peers
– Institutional support
– Active citizenship
– Non-institutional support
Engagement with studies
(Student-constructed)
• Conflict between staff and students’ perceptions (Bryson, 2014)
– Staff – students working diligently
– Students – sense of feeling engaged
• Dubet (1994) argues that identity is constructed through:
– Nature of the personal project
– Degree of integration into university life
– Level of intellectual engagement with the subject
• Solomonides (2012)
– Students own sense of dimensions of their academic and future professional
identity
• Harris et al (2004) four dimensions
– Cognitive
– Affective
– Relational
– Conative (time on task)
Student engagement = student success
• Kuh et al., (2008)
– Background characteristics: gender, pre-university academic attainment,
parental income = strongest predictors of success
– Predictions improved when NSSE results, academic attainment were added
• Romer (1993)
– Attendance had multiplying effect on academic success: good attendance
improved academic outcomes
• Woodfield, Jessop & McMillan (2006)
– Several characteristics associated with success: entry qualifications,
conscientiousness, extroversion etc.
– Attendance once again a success multiplying factor, particularly for male
students
Raises
alerts!!
Measuring engagement
NTU Student Dashboard
NTU
Student
Dashboard
Student biographical
info, e.g. enrolment
status
Evidence of student
engagement
• Door swipes
(where appropriate)
• Library books
• NOW use
• Dropbox
submissions
• Attendance data
• Access to e-
books & journals
through
Shibboleth
authentication
Staff
view
Student
view
Compares student
engagement across
the cohort & gives
rating
Can make
comments in
free text box
Using the Dashboard
• Two change agents
• Designed student use in from the outset
• Deliberately ignore background and only focus on engagement
• Students can change their engagement, can’t change background
• Dashboard score based on engagement, not risk of failure
Students Staff
Relationship between engagement &
progression (2015-16)
Whole
institutional
data
However
• Socioeconomic disadvantage remains
Whole
institutional
data
1st year
students
Student Transition Survey 2016-17
• Checking their attendance is the top exploration of the Dashboard amongst students.
When using the Dashboard, how often have you explored the following?
Base: 753
5%
5%
13%
17%
49%
8%
9%
28%
28%
34%
18%
22%
33%
29%
16%
70%
63%
26%
26%
1%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 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
Very Often Often Sometimes Never
Relationship between Dashboard log ins and
engagement
Students as agents
Whole
institutional
data
1st year
students
Staff as agents
Whole
institutional
data
1st year
students
Library Learning and Teaching Team
• The team offers guidance covering all aspects of academic skills.
• Students can book 30 minute one-to-one sessions with team
members between 9 am and 5 pm using an online booking system
• In 2015-16, the eight team members inputted 815 notes into the
NTU Student Dashboard during/shortly after one-to-one sessions
with students
More information about the team can be found at http://www4.ntu.ac.uk/library/learning_teaching/teaching_support/index.html
Progression differences
• Progression rates for students who visited the library team was
8.6a% higher than those who didn’t
• 65.2% of students who visited the librarians achieved a GPA
equivalent to a 2:1 or better compared to 54.1% of those who didn’t
Timing of the appointments with the Library
Learning and Teaching Team
• Students appear to be using library as part of the process of engaging
more with the University, rather than the library appointment being
the trigger for increased engagement
Student disengagemen
Student Engagement 2015-16
= Low engagement = Partial engagement = Good engagement = High engagement
Timeline of low engagement
• Using the flipchart paper, please draw a timeline for the academic
year. Please work with the other colleagues on your table
1. Across the year, what warning signs do you currently use to spot
students with low engagement/ at risk of underperforming?
• 2. What communication/ interventions do you carry out?
(10 minutes)
What works case studies
What works?
• Please work in pairs
• Would you describe a student whose engagement dropped that
you’ve had a positive impact upon?
• Rules
– This is an unreservedly positive activity, we are interested in times when your
intervention/ support worked, not when it didn’t
– Please do focus on a success story
– Please describe your actions, student reactions and feedback
– 10 minutes each
– 5 minutes explaining what happened
– After 5 minutes describing what you did, please discuss why you think it worked
in this case
What next?
• We were going to use a some of the literature to frame the
conclusions
– But just ended up with lists
• So
• Prevention (acculturation) is probably better than cure
– Early communication of expectations, cultural norms and feedback all likely to
help
• But ’cure’ is still important
– Evidence is poor about changing student trajectory, but the quality of
relationships is probably an important factor
• We would like help with a Dashboard pilot to test the efficacy
interventions (& time it takes)
– Is anyone interested?

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ABLE - course leaders conference 2017 - Taking the next steps to support low engaged students

  • 1. Taking the next steps to support low engaged students Alastair Allen, Course Leader – BA (Hons) Business Management & Marketing, NBS Ed Foster, Student Engagement Manager, CADQ,
  • 2. Session outcomes • What is Student Engagement? • What is the impact of engagement on student success? • Talking about student (dis)engagement (15 mins) • What works? (20 mins) • Before we go any further, can we have 1-minute reflective thinking • Please think of a student who you have dealt with who had been disengaging & you helped get back on track
  • 3. What do we mean by ‘student engagement’? • Engaging with ’studies’ • Engaging with quality assurance – QAA • Engaging with student life – E.g. volunteering
  • 4. Engagement with studies (student/course interaction) • “A key assumption is that learning outcomes are influenced by how an individual participates in educationally purposeful activities. While students are responsible for constructing their own knowledge, learning is also seen to depend on institutions and staff generating conditions that stimulate student involvement” (Kuh, 2001, pg.12) • “engaging in the activities of a course with thoroughness and seriousness” – (Hockings et al., 2007, pg. 721) • Learning is seen as a ‘joint proposition’, however, which also depends on institutions and staff providing students with the conditions, opportunities and expectations to become involved” – (Coates, 2006, pg. 26)
  • 5. Engagement with studies (multi-dimensional) • Strong criticism that SE research is often very focussed on behaviourist ways of looking at the student – Focus on interactions with the course, fail to see potential problems in students’ wider life • Zepke & Leach (2012) argue that SE depends on multiple dimensions – Motivation & agency – Transactional engagement: students to tutors – Transactional engagement: peers – Institutional support – Active citizenship – Non-institutional support
  • 6. Engagement with studies (Student-constructed) • Conflict between staff and students’ perceptions (Bryson, 2014) – Staff – students working diligently – Students – sense of feeling engaged • Dubet (1994) argues that identity is constructed through: – Nature of the personal project – Degree of integration into university life – Level of intellectual engagement with the subject • Solomonides (2012) – Students own sense of dimensions of their academic and future professional identity • Harris et al (2004) four dimensions – Cognitive – Affective – Relational – Conative (time on task)
  • 7. Student engagement = student success • Kuh et al., (2008) – Background characteristics: gender, pre-university academic attainment, parental income = strongest predictors of success – Predictions improved when NSSE results, academic attainment were added • Romer (1993) – Attendance had multiplying effect on academic success: good attendance improved academic outcomes • Woodfield, Jessop & McMillan (2006) – Several characteristics associated with success: entry qualifications, conscientiousness, extroversion etc. – Attendance once again a success multiplying factor, particularly for male students
  • 8. Raises alerts!! Measuring engagement NTU Student Dashboard NTU Student Dashboard Student biographical info, e.g. enrolment status Evidence of student engagement • Door swipes (where appropriate) • Library books • NOW use • Dropbox submissions • Attendance data • Access to e- books & journals through Shibboleth authentication Staff view Student view Compares student engagement across the cohort & gives rating Can make comments in free text box
  • 9. Using the Dashboard • Two change agents • Designed student use in from the outset • Deliberately ignore background and only focus on engagement • Students can change their engagement, can’t change background • Dashboard score based on engagement, not risk of failure Students Staff
  • 10. Relationship between engagement & progression (2015-16) Whole institutional data
  • 11. However • Socioeconomic disadvantage remains Whole institutional data 1st year students
  • 12. Student Transition Survey 2016-17 • Checking their attendance is the top exploration of the Dashboard amongst students. When using the Dashboard, how often have you explored the following? Base: 753 5% 5% 13% 17% 49% 8% 9% 28% 28% 34% 18% 22% 33% 29% 16% 70% 63% 26% 26% 1% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 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 Very Often Often Sometimes Never
  • 13. Relationship between Dashboard log ins and engagement
  • 16. Library Learning and Teaching Team • The team offers guidance covering all aspects of academic skills. • Students can book 30 minute one-to-one sessions with team members between 9 am and 5 pm using an online booking system • In 2015-16, the eight team members inputted 815 notes into the NTU Student Dashboard during/shortly after one-to-one sessions with students More information about the team can be found at http://www4.ntu.ac.uk/library/learning_teaching/teaching_support/index.html
  • 17. Progression differences • Progression rates for students who visited the library team was 8.6a% higher than those who didn’t • 65.2% of students who visited the librarians achieved a GPA equivalent to a 2:1 or better compared to 54.1% of those who didn’t
  • 18. Timing of the appointments with the Library Learning and Teaching Team • Students appear to be using library as part of the process of engaging more with the University, rather than the library appointment being the trigger for increased engagement
  • 20. Student Engagement 2015-16 = Low engagement = Partial engagement = Good engagement = High engagement
  • 21. Timeline of low engagement • Using the flipchart paper, please draw a timeline for the academic year. Please work with the other colleagues on your table 1. Across the year, what warning signs do you currently use to spot students with low engagement/ at risk of underperforming? • 2. What communication/ interventions do you carry out? (10 minutes)
  • 22. What works case studies
  • 23. What works? • Please work in pairs • Would you describe a student whose engagement dropped that you’ve had a positive impact upon? • Rules – This is an unreservedly positive activity, we are interested in times when your intervention/ support worked, not when it didn’t – Please do focus on a success story – Please describe your actions, student reactions and feedback – 10 minutes each – 5 minutes explaining what happened – After 5 minutes describing what you did, please discuss why you think it worked in this case
  • 24. What next? • We were going to use a some of the literature to frame the conclusions – But just ended up with lists • So • Prevention (acculturation) is probably better than cure – Early communication of expectations, cultural norms and feedback all likely to help • But ’cure’ is still important – Evidence is poor about changing student trajectory, but the quality of relationships is probably an important factor • We would like help with a Dashboard pilot to test the efficacy interventions (& time it takes) – Is anyone interested?