Download presentation
Presentation is loading. Please wait.
Published byAlfred Farmer Modified over 9 years ago
1
Student engagement in teaching, learning and assessment
Image: world.edu Student engagement in teaching, learning and assessment @mikehamlyn
2
Outline Individual engagement retention and success a sense of belonging Benefits of engagement for the individual and society Engagement Outcomes Module and award level Public informatiion League Tables What can we do with the data portfolio performance how to get “smart” how to improve outcomes from better engagement The future How will we carry on?
3
What will engaged students look like in the future?
Is this engagement? How do you know? Does this reflect reality? What will engaged students look like in the future?
4
Individual Engagement
Student Retention and Success Project 1. At the heart of student retention and success is a strong sense of belonging in HE for students. This is most effectively nurtured through mainstream activities that all students participate in. 2. The academic sphere is the most important site for nurturing belonging. 3. Specific interventions cannot be recommended over and above each other. Rather the institution, department and programme should all nurture a culture of belonging. 4. Student belonging is an outcome of: supportive peer relations; meaningful interaction between staff and students; developing knowledge, confidence and identity as successful HE learners; and an HE experience which is relevant to interests and future goals.
6
Benefits of engagement
Engaged students get better outcomes Celebrating individual success Maximising individual rewards Maximising contribution to society Market and non-market benefits
8
How do we do this in a region of low aspiration?
9
Engagement Outcomes Student surveys award level Module outcomes
employability
10
Engagement Outcomes Students act increasingly as engaged consumers
Access price comparisons Access to performance comparisons Demand better outcomes University needs to optimise Module and award level outcomes Student survey results Public information League Tables
11
Inputs Outcomes An engaged student reads….. An engaged student
contributes to… Inputs Spend per student Staff student ratios Entry standards Research ratings Cost of living Spend on services Faculty spend Outcomes Number of “good” degrees National Student Survey results Retention rates Employability
12
Student Input to Information
National Student Survey Measure of final year students Questions on satisfaction with course Satisfaction with teaching and learning Satisfaction with assessment and feedback Degree results Retention Employability Used in 3 areas: League tables/KIS (external) Portfolio performance review (internal) Award annual monitoring (internal)
13
League Tables – a mirror.
14
League Tables
15
67/119
16
62/119
17
38/119
18
83/119
19
107/119
20
113/119
21
108/119
22
Are we trying to improving position or performance?
Clearly, we can try to play the game of moving our league table position What we really want to do is improve our performance in each of the key areas to make sure there is a sustainable and genuine change
23
Guardian criteria Suggested Action Entry standards Review all current standard offers to pitch ourselves properly against competitors Student/staff ratio Reviewed more thoroughly the data we submit to HESA Developing better models of SSR to identify where investment is most needed Spend per student Reviewed classification of spend Increased recent spend on libraries and IT will have an impact
24
Guardian criteria Action Value added Increased number of “good” degrees awarded. Reviewing all level 6 modules with low pass rates and average marks. Identifying through portfolio review awards with consistently poor progression and attainment L&T conference on attainment BME student performance NSS teaching, assessment and feedback and overall satisfaction Faculty action plans, and award level plans Increased student engagement with survey Seven principles of feedback Online assessment and feedback project Review through portfolio performance tool employment Staffordshire Graduate – improving our students’ chances of success On-campus graduate internships
25
Student Input to Information
Used in 3 areas: League tables/KIS (external) Portfolio performance review (internal) Award annual monitoring (internal)
26
Portfolio performance review
Measures: Market Academic outcomes inc good degrees Student satisfaction Employability Uses Comparison against targets Comparison between awards Annual monitoring Portfolio decisions SNC/ABB 2nd stage enrol per offer total apps/2nd stage enrol retention 2011 retention 2012 progress 2011 progress 2012 % good degrees 2011 % good degrees 2012 total all levels enrol 2010 total all levels enrol 2011 total all levels enrol 2012 total all levels enrol 2013 dlhe dlhe NSS 2012 teaching NSS assess and feedback NSS 2012 overall NSS 2013 teaching NSS assess and feedback NSS 2013 overall score 1 market led (enter target below) score 2 - quality led 0.5 5 90.0 56.0 60.0 80 85 86 70 72 80.00 0.22 9.50 100.0 66.7 50.0 10 8 9 80.0 78.0 65.0 75.0 89.0 74.0 80.87 100.69 0.12 16.00 93.3 86.4 72.7 25.0 27 28 21 14 0.0 97.0 94.0 83.0 85.0 87.0 60.71 81.83 0.42 3.40 77.8 7 94.68 79.92
27
Student Input to Information
Used in 3 areas: League tables/KIS (external) Portfolio performance review (internal) Award annual monitoring (internal)
28
Annual Monitoring Key part of quality process
Reflection on award performance Reflection on student engagement and outcomes Statistics – progression, achievement, retention Response to external examiner comments Reflection on employer input Staffordshire Graduate Reports are made available to students, to demonstrate our engagement Critically important for partner input, and to recognise joint responsibility for improvements
29
How it fits together Student satisfaction Student surveys
League tables Action Plans Annual Monitoring Student engagement and outcomes Course improvements reputation Market demand
30
Improved engagement leads to improved outcomes
improved outcomes for individual students Grades and classifications Employability –getting into the right jobs Satisfaction Satisfying aspirations improved overall outcomes Institutional success and reputation Changing the aspirations of our communities
31
How institutional data and analysis can help?
Identifying performance metrics at module level Identifying performance metrics for awards Developing a culture where this analysis becomes embedded Being prepared to deal with the issue!
32
How could we improve engagement and outcomes for institution?
TLA practice Relevant TL and assessment practice Responsive curricula – employer and technology led Increased student engagement in course design and monitoring Staff engaged in reflective practice Management Intervention Questioning low average marks, poor attainment rates Managing the performance of the portfolio Increased emphasis on EEE (staff and students) Continuous staff development Improving quality of teaching Uses of technology Electronic assessment and feedback Online communities Student portal Mobile technologies The future….. How we teach in 2013? How to learn in 2020?
33
Improving individual engagement Using “big data”?
Learning Analytics – can work if all systems joined up A way to encourage or check on student engagement? Every log in Every use of VLE – pages read, scores on formative tests Use of library – frequency, downloads, loans Attendance at class or online A way to audit teaching as well……. Or is this another example of technological solutionism? LEADERSHIP AND LEARNING ANALYTICS, “To Save Everything, Click Here: Technology, Solutionism, and the Urge to Fix Problems that Don’t Exist” Evgeney Morozov, pb Allen Lane 2103, ISBN-10: ”
34
How will we engage students in learning when:
Half of what they learn in first year is out of date by the time they graduate? They will have maybe 10 different jobs in their career? The jobs they will do don’t even exist yet using technology that isn't invented yet, to solve problems we don’t know are problems yet. 100 Billion queries a month on Google – who did we ask before? 90% of the data in the world was created in the last 2 years There are more students in the top 5% in China than all the students in the UK
35
blogs.staffs.ac.uk/mgh1/
@mikehamlyn blogs.staffs.ac.uk/mgh1/
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.