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Page 1
Quality Multiplied:
Learning that matters in
a runaway world
Lina Markauskaite
Associate Professor of the Learning Sciences
Co-Director of the Centre for Research on Learning and
Innovation
The OpenLearning Conference 2018
26–27 November
Kuala Lumpur, Malaysia
Page 2
Acknowledgements
Professional learning for knowledgeable action
and innovation (ARC DP0988307)
– Peter Goodyear, Agnieszka Bachfischer and many
others
Understanding and facilitating learning in
emerging knowledge co-creation spaces (SREI
2020, DVCR)
– Peter Reimann, Celina McEwen, and 17 other
colleagues and PhD students
Re-imagining the future: Frontiers of learning
innovation and research (SRS, DVCR&E)
Page 3
About me
Last 14 years…
A big part of my life…
From https://sydney.edu.au/about-us/our-story/timeline.html
From https://www.vu.lt
Page 4
My focus: Social learning
– For future complex knowledge
work
– Where ‘Social’ really matters
for knowledge
– Expansive learning:
individuals, groups,
communities, cultures
Page 5
Main messages
A runaway world
– more than where we are
naturally heading
Knowledge that matters
– more than we already know
Learning that matters
– more than what and whom
we teach
Quality multiplied
– more than efficiency and
satisfaction
Page 6
A runaway world
Why is education a global issue?
Page 7
Global transformations and issues
World Economic Forum. Mapping Global Transformations, 2018 November
From https://toplink.weforum.org/knowledge/insight/a1Gb0000000LPFfEAO/explore/summary
Page 8
The future of skills and Higher
Education
– AI, robotics, blockchain: some
roles are on the way out
(accountants, financial
analysts, lawyers)
– Fast change: the most in-
demand occupations did not
exist 10 years ago
– ‘Content’ matters, but
‘futureproof’ skills matter more
so
World Economic Forum. The Future of Jobs Report 2018. From http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf
World Economic Forum. The Future of Jobs Report 2016. From http://www3.weforum.org/docs/WEF_Future_of_Jobs.pdf
From https://www.smh.com.au/education/university-degrees-obsolete-
report-ernst-young-20180501-p4zcn5.html
Page 10
Knowledge that matters
What should professionals be able
to do with knowledge?
Page 11
Expectations from the
(future) professionals
1. Evidence informed and
generating practice
2. ‘Second-hand’ knowledge
3. Relational expertise
4. AI & redistribution of work
5. Open innovation &
co-configuration
What does it mean for
HE?
“…learning for an unknown future has to be a learning understood neither in
terms of knowledge or skills but of human qualities and dispositions.”
Barnett, 2004, “Learning for an unknown future”, 247
Knowledge Flexibility,
Adaptability
?
Moving away
from
knowledge
Rethinking
knowledge &
skills
Page 12
Actionable knowledge
Knowledge as a tool for action
“People who use tools actively rather
than just acquire them . . . build an
increasingly rich understanding of the
world in which they use the tools and
of the tools themselves”
Brown, Collins & Duguid, 1989, 33
Actionable knowledge is
“knowledge that is particularly useful
to get things accomplished in
practical activities”
After Yinger & Lee, 1993
Page 13
Epistemic fluency
People who are flexible and adept
with respect to different kinds of
knowledge and different ways of
knowing about the world can be said
to possess epistemic fluency.
After Morrison & Collins, 1996
Page 14
Learning that matters
What kind of learning is key
for (future) professionals?
Page 15
How people learn
1. People develop a diverse array of
knowledge and other cognitive
resources
2. Different kinds of knowledge are
learned in different ways
3. Learning is a remarkably dynamic
and enmeshed in physical and digital
environments, social practices and
cultures
4. Learners constantly integrate many
types of knowledge and learning
processes, both deliberately and
unconsciously
National Academies of Sciences, Engineering, and Medicine. 2018. How People Learn II: Learners, Contexts, and Cultures. Washington, DC: The National
Page 16
Design for Social learning
‘Social’ is at the core of
knowledge (eg. wicked problems)
– Diverse perspectives
– Distributed environments
– Production of complex
knowledge objects and
artefacts
Source : Arthar’s PhD,
2018
Page 17
How do we create complex
actionable knowledge?
Shared knowledge
problems/objects
Local
epistemic practices
Personal
resourcefulness
Knowledge, skills,
dispositions, etc.
Assembling environments,
creating objects,
tinkering, etc.
Assumptions, concepts,
methods, etc.
Global
knowledge cultures
Page 18
An example
What does this look like in
practice?
Page 19
An example
From https://sydney.edu.au/courses/units-of-study/2019/edpc/edpc5024.html
Page 20
Learning to lead innovation and change
100%
Agreement for 9 out of 12 items of
evaluation
“During this challenge I personally
experienced frustration, panic and
joy”
“Overall, a different but very
rewarding course for me”
“I learnt far more doing the teamwork than I'd expected
to”
Page 21
Key course components
A guide for
innovation & change
managers
Joint
innovation
Analytical
reflection
…of past experiences
…of teamwork
Analysis and design
Teamwork
Weekly readings
Online discussions
Ideas and
methods
Using ideas & methods to
inform knowledgeable action &
create actionable knowledge
products
Understanding &
improving individual &
group learning
Making ideas
actionable by
grounding them in
past experiences
Page 22
Design principles
1. Making action knowledgeable
2. Making knowledge actionable
3. Creating epistemic artefacts
(tools)
4. Integrating diverse kinds of
disciplinary and non-disciplinary
knowledge
5. Coordinating diverse ways of
knowing
6. Co-assembling joint epistemic
environments
7. Learning at genuine knowledge
Page 23
Principle I: Making action knowledgeable
Seeing experiences through
theory
Using ideas and methods to
inform immediate action
Page 24
Principle II: Making knowledge actionable
Guides for Change and
Innovation Managers
iPad Journey (MLS&T)
Constructing practical-principled
knowledge products (tools)
Overcoming isolation in online learning
Learning on-the-go: Mobile learning in
HE
Redesigning learning spaces:
Learning through making
Learning analytics for deep learning
Page 25
Principle III: Creating epistemic artefacts
Learning to recognize and
deliberately create various kinds
of epistemic artefacts that allow to
share ideas across disciplinary,
professional and other
boundaries and mediate joint
knowledge work
– models,
– blueprints,
– prototypes,
– principles,
– etc.
Page 26
Principle IV: Integrating diverse kinds of
knowledge
Multiple disciplinary perspectives Multiple stakeholder
perspectives
Individual
learning
Image based on Senge, P. et al. (2000). Schools that learn: A fifth discipline fieldbook for educators, parents,
and everyone who cares about education. New York: Doubleday.
Organisational
learning
Page 27
Principle V: Coordinating diverse ways of
knowing
Three
modes of
inquiry
Systems
thinking
Design
practice
Responsiv
e action
From big ideas… to specific ‘know how’
Page 28
Principle VI: Co-assembling joint epistemic
environments
Learning to manage distributed
teamwork by learning to choose
and use appropriate methods
and tools
– Face-to-face
– Synchronous web conferencing
– Online collaborative writing
– Knowledge mapping
– Idea generation
– Online project management
– Asynchronous discussions
– Document management
– etc.
Page 29
Principle VII: Learning at genuine knowledge
frontiers
Creating useful knowledge for
future and for others and, ideally,
with others
- Guides for change & innovation
managers
- Future scenarios
- Horizon scanning reports
- etc.
Page 30
Bringing it all together: “The three orders” of
learning
Teaching as
telling
Learning as
acquisition
Designing for
learning
content
(product
design)
Teaching as
facilitation
Learning as
participation
Designing for
experiences
(service
design)
Teaching as
co-configuration
Learning as
co-construction and
conscientious
inhabiting
Co-designing for
knowing
(relational design)
1st Order 2nd Order 3rd Order
Page 31
Opportunities for co-construction
Open & Citizen
science
Industry & community
partnership
Open & Living labs
From https://enoll.org/about-us/
National Academies of Sciences, Engineering and
Medicine. (2018). Learning through citizen science:
Enhancing opportunities by design. Washington, DC:
The National Academies Press.
From https://sydney.edu.au/study/find-a-
course/undergraduate-courses/interdisciplinary-
projects.html
Co-
creation
Real-life
setting
Multi-
method
approach
Multi-
stakeholder
participation
Active user
engagement
Page 33
Firms co-operating on innovation with HE or
government, OECD 2017
OECD Innovation Indicators 2017, From http://www.oecd.org/sti/inno-
stats.htm#indicators
0
10
20
30
40
50
60
70
AUT
FIN
GBR
BEL
SVN
COL_S
EST
NOR
ESP
DNK
NLD
MEX
DEU
FRA
POL
SVK
CZE
JPN
HUN
ISL
COL_M
TUR
GRC
CHE
PRT
LTU
LVA
ITA
KOR
BRA
NZL
CHL
AUS
RUS
SMEs
Large
Australia
Page 34
Is it ‘laziness’ or ‘a bottleneck’?
– 2 066 600 Small (0-19)
– 51 000 Medium (20-199)
– 3 700 Large (200+ employees)
– Plus governmental, community
organisations, etc.
Businesses, 2017 (AU data) University, 2016-17
– 55 600 Academic staff
– 66 405 Research Students
– 1 513 400 HE students
Engagement of students in real-world problem solving is
not only a pedagogical opportunity, but an economic
necessity
The Australian Small Business and Family Enterprise Ombudsman (2016) Small business counts. From
https://www.asbfeo.gov.au/sites/default/files/Small_Business_Statistical_Report-Final.pdf
Norton, A., Cherastidtham, I., & Mackey, W. (2018). Mapping Australian higher education 2018. Grattan Institute. From https://grattan.edu.au/wp-content/uploads/2018/09/907-
Page 35
An opportunity
– Careful planning
– Learning supports
– Intentional design
– Building iteratively
– Input from stakeholders
Global ‘research resource’,
2025
Doing ≠ Learning
– 262 million students
– 5.6 million person years of
research time per year*
Disclaimer: I haven't checked data & calculations
*If 50% study time was allocated for research
Evans, J., et al. (2015). Living labs and co-production: university campuses as
platforms for sustainability science. Current Opinion in Environmental Sustainability,
16, 1-6
National Academies of Sciences, Engineering and Medicine. (2018). Learning through citizen
science: Enhancing opportunities by design. Washington, DC: The National Academies Press.
Students’ learning and research time is a huge underutilized
intellectual resource that could make a huge difference to economies
and society
, BUT also…
Page 36
Quality multiplied
Do we have issues with
quality?
Page 37
Quality: What, who and how to evaluate it
1. Knowledge and skills – teachers (grades)
2. Experiences – students (course evaluations)
3. Workplace readiness – employers (satisfaction), accreditation
4. Value for money – governments (staff to student ratios, drop-outs,
etc.)
Page 38
Employer satisfaction with graduates, 2017
(AU)
Including innovation
QUILT (2017) The 2017 Employer Satisfaction Survey. National Report. From https://www.qilt.edu.au/about-this-
Page 39
Student experience, 2017 (AU)
63% Internal/mixed
22% External
QUILT (2018) The 2017 Student Experience Survey. National Report. From https://www.qilt.edu.au/about-this-site/student-
Page 41
Do we have issues with quality?
From: https://www.smh.com.au/education/university-degrees-obsolete-report-
ernst-young-20180501-p4zcn5.html
EY (2018) Can Universities Today Lead Learning for Tomorrow:
The university of the future. From
https://www.ey.com/au/en/industries/government---public-
sector/ey-university-of-the-future-2030
Page 42
NONE of these are
1. Students are not
‘consumers’ but co-creators
of knowledge and
universities
2. Universities have skin in
the knowledge creation
game
3. We should think about
‘relational’, not ‘reactive’,
futures of HE
The future of HE
Page 43
Quality: What, who and how to evaluate it
1. Knowledge and skills – teachers (grades)
2. Experiences – students (course evaluations)
3. Workplace readiness – employers (satisfaction), accreditation
4. Value for money – governments (staff to student ratios, drop-outs,
etc.)
5. Relevance and direct value – co-participants (co-produced
knowledge artefacts, societal benefits)
Page 44
HE as a ‘relational service’: Some insights
1. Expert-designed services
2. Students as customers of
educational services
3. Gain knowledge and
experiences
4. Predefined tasks,
predictable outcomes
5. Quality is a responsibility
of providers
6. A technological platform
1. Expert-enabled services
2. Students as co-producers
of education
3. Develop capabilities to
co-create knowledge &
experiences
4. Negotiated tasks, emerging
outcomes
5. Quality is a joint responsibility
of co-producers
6. A sociotechnical system
Standard Relational
After Cipolla, C., & Manzini, E. (2009). Relational Services. Knowledge, Technology & Policy,
Page 46
Final points
What could you take
away from this?
Page 47
Main messages
A runaway world
– A world we can imagine, want
to live in, and can create
Knowledge that matters
– interconnected, actionable,
embodied in artefacts
Learning that matters
– ‘leaks’ into learning of others
beyond students
Quality multiplied
– socially relevant, of direct
value
Page 48
Takeaway: ‘What’
Social learning should not just equip
a greater number of students with
more knowledge or provide them
with positive experiences. Social
learning should aspire to develop
students’ capabilities to create
actionable knowledge for complex
workplace and societal issues, and
directly contribute to solutions of
these issues
Page 49
Takeaway: ‘How’
Actionable knowledge
for complex workplace
& societal problems
Quality of
social learning
Graduate
qualities
Quality of
our society
Page 50
Thank you
Email: Lina.Marakauskaite@sydney.edu.au
Website: https://epistemicfluency.com
Twitter: @markauskaite
eBook:
https://www.springer.co
m/9789400743687

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Quality multiplied: Learning that matters in a runaway world

  • 1. Page 1 Quality Multiplied: Learning that matters in a runaway world Lina Markauskaite Associate Professor of the Learning Sciences Co-Director of the Centre for Research on Learning and Innovation The OpenLearning Conference 2018 26–27 November Kuala Lumpur, Malaysia
  • 2. Page 2 Acknowledgements Professional learning for knowledgeable action and innovation (ARC DP0988307) – Peter Goodyear, Agnieszka Bachfischer and many others Understanding and facilitating learning in emerging knowledge co-creation spaces (SREI 2020, DVCR) – Peter Reimann, Celina McEwen, and 17 other colleagues and PhD students Re-imagining the future: Frontiers of learning innovation and research (SRS, DVCR&E)
  • 3. Page 3 About me Last 14 years… A big part of my life… From https://sydney.edu.au/about-us/our-story/timeline.html From https://www.vu.lt
  • 4. Page 4 My focus: Social learning – For future complex knowledge work – Where ‘Social’ really matters for knowledge – Expansive learning: individuals, groups, communities, cultures
  • 5. Page 5 Main messages A runaway world – more than where we are naturally heading Knowledge that matters – more than we already know Learning that matters – more than what and whom we teach Quality multiplied – more than efficiency and satisfaction
  • 6. Page 6 A runaway world Why is education a global issue?
  • 7. Page 7 Global transformations and issues World Economic Forum. Mapping Global Transformations, 2018 November From https://toplink.weforum.org/knowledge/insight/a1Gb0000000LPFfEAO/explore/summary
  • 8. Page 8 The future of skills and Higher Education – AI, robotics, blockchain: some roles are on the way out (accountants, financial analysts, lawyers) – Fast change: the most in- demand occupations did not exist 10 years ago – ‘Content’ matters, but ‘futureproof’ skills matter more so World Economic Forum. The Future of Jobs Report 2018. From http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf World Economic Forum. The Future of Jobs Report 2016. From http://www3.weforum.org/docs/WEF_Future_of_Jobs.pdf From https://www.smh.com.au/education/university-degrees-obsolete- report-ernst-young-20180501-p4zcn5.html
  • 9. Page 10 Knowledge that matters What should professionals be able to do with knowledge?
  • 10. Page 11 Expectations from the (future) professionals 1. Evidence informed and generating practice 2. ‘Second-hand’ knowledge 3. Relational expertise 4. AI & redistribution of work 5. Open innovation & co-configuration What does it mean for HE? “…learning for an unknown future has to be a learning understood neither in terms of knowledge or skills but of human qualities and dispositions.” Barnett, 2004, “Learning for an unknown future”, 247 Knowledge Flexibility, Adaptability ? Moving away from knowledge Rethinking knowledge & skills
  • 11. Page 12 Actionable knowledge Knowledge as a tool for action “People who use tools actively rather than just acquire them . . . build an increasingly rich understanding of the world in which they use the tools and of the tools themselves” Brown, Collins & Duguid, 1989, 33 Actionable knowledge is “knowledge that is particularly useful to get things accomplished in practical activities” After Yinger & Lee, 1993
  • 12. Page 13 Epistemic fluency People who are flexible and adept with respect to different kinds of knowledge and different ways of knowing about the world can be said to possess epistemic fluency. After Morrison & Collins, 1996
  • 13. Page 14 Learning that matters What kind of learning is key for (future) professionals?
  • 14. Page 15 How people learn 1. People develop a diverse array of knowledge and other cognitive resources 2. Different kinds of knowledge are learned in different ways 3. Learning is a remarkably dynamic and enmeshed in physical and digital environments, social practices and cultures 4. Learners constantly integrate many types of knowledge and learning processes, both deliberately and unconsciously National Academies of Sciences, Engineering, and Medicine. 2018. How People Learn II: Learners, Contexts, and Cultures. Washington, DC: The National
  • 15. Page 16 Design for Social learning ‘Social’ is at the core of knowledge (eg. wicked problems) – Diverse perspectives – Distributed environments – Production of complex knowledge objects and artefacts Source : Arthar’s PhD, 2018
  • 16. Page 17 How do we create complex actionable knowledge? Shared knowledge problems/objects Local epistemic practices Personal resourcefulness Knowledge, skills, dispositions, etc. Assembling environments, creating objects, tinkering, etc. Assumptions, concepts, methods, etc. Global knowledge cultures
  • 17. Page 18 An example What does this look like in practice?
  • 18. Page 19 An example From https://sydney.edu.au/courses/units-of-study/2019/edpc/edpc5024.html
  • 19. Page 20 Learning to lead innovation and change 100% Agreement for 9 out of 12 items of evaluation “During this challenge I personally experienced frustration, panic and joy” “Overall, a different but very rewarding course for me” “I learnt far more doing the teamwork than I'd expected to”
  • 20. Page 21 Key course components A guide for innovation & change managers Joint innovation Analytical reflection …of past experiences …of teamwork Analysis and design Teamwork Weekly readings Online discussions Ideas and methods Using ideas & methods to inform knowledgeable action & create actionable knowledge products Understanding & improving individual & group learning Making ideas actionable by grounding them in past experiences
  • 21. Page 22 Design principles 1. Making action knowledgeable 2. Making knowledge actionable 3. Creating epistemic artefacts (tools) 4. Integrating diverse kinds of disciplinary and non-disciplinary knowledge 5. Coordinating diverse ways of knowing 6. Co-assembling joint epistemic environments 7. Learning at genuine knowledge
  • 22. Page 23 Principle I: Making action knowledgeable Seeing experiences through theory Using ideas and methods to inform immediate action
  • 23. Page 24 Principle II: Making knowledge actionable Guides for Change and Innovation Managers iPad Journey (MLS&T) Constructing practical-principled knowledge products (tools) Overcoming isolation in online learning Learning on-the-go: Mobile learning in HE Redesigning learning spaces: Learning through making Learning analytics for deep learning
  • 24. Page 25 Principle III: Creating epistemic artefacts Learning to recognize and deliberately create various kinds of epistemic artefacts that allow to share ideas across disciplinary, professional and other boundaries and mediate joint knowledge work – models, – blueprints, – prototypes, – principles, – etc.
  • 25. Page 26 Principle IV: Integrating diverse kinds of knowledge Multiple disciplinary perspectives Multiple stakeholder perspectives Individual learning Image based on Senge, P. et al. (2000). Schools that learn: A fifth discipline fieldbook for educators, parents, and everyone who cares about education. New York: Doubleday. Organisational learning
  • 26. Page 27 Principle V: Coordinating diverse ways of knowing Three modes of inquiry Systems thinking Design practice Responsiv e action From big ideas… to specific ‘know how’
  • 27. Page 28 Principle VI: Co-assembling joint epistemic environments Learning to manage distributed teamwork by learning to choose and use appropriate methods and tools – Face-to-face – Synchronous web conferencing – Online collaborative writing – Knowledge mapping – Idea generation – Online project management – Asynchronous discussions – Document management – etc.
  • 28. Page 29 Principle VII: Learning at genuine knowledge frontiers Creating useful knowledge for future and for others and, ideally, with others - Guides for change & innovation managers - Future scenarios - Horizon scanning reports - etc.
  • 29. Page 30 Bringing it all together: “The three orders” of learning Teaching as telling Learning as acquisition Designing for learning content (product design) Teaching as facilitation Learning as participation Designing for experiences (service design) Teaching as co-configuration Learning as co-construction and conscientious inhabiting Co-designing for knowing (relational design) 1st Order 2nd Order 3rd Order
  • 30. Page 31 Opportunities for co-construction Open & Citizen science Industry & community partnership Open & Living labs From https://enoll.org/about-us/ National Academies of Sciences, Engineering and Medicine. (2018). Learning through citizen science: Enhancing opportunities by design. Washington, DC: The National Academies Press. From https://sydney.edu.au/study/find-a- course/undergraduate-courses/interdisciplinary- projects.html Co- creation Real-life setting Multi- method approach Multi- stakeholder participation Active user engagement
  • 31. Page 33 Firms co-operating on innovation with HE or government, OECD 2017 OECD Innovation Indicators 2017, From http://www.oecd.org/sti/inno- stats.htm#indicators 0 10 20 30 40 50 60 70 AUT FIN GBR BEL SVN COL_S EST NOR ESP DNK NLD MEX DEU FRA POL SVK CZE JPN HUN ISL COL_M TUR GRC CHE PRT LTU LVA ITA KOR BRA NZL CHL AUS RUS SMEs Large Australia
  • 32. Page 34 Is it ‘laziness’ or ‘a bottleneck’? – 2 066 600 Small (0-19) – 51 000 Medium (20-199) – 3 700 Large (200+ employees) – Plus governmental, community organisations, etc. Businesses, 2017 (AU data) University, 2016-17 – 55 600 Academic staff – 66 405 Research Students – 1 513 400 HE students Engagement of students in real-world problem solving is not only a pedagogical opportunity, but an economic necessity The Australian Small Business and Family Enterprise Ombudsman (2016) Small business counts. From https://www.asbfeo.gov.au/sites/default/files/Small_Business_Statistical_Report-Final.pdf Norton, A., Cherastidtham, I., & Mackey, W. (2018). Mapping Australian higher education 2018. Grattan Institute. From https://grattan.edu.au/wp-content/uploads/2018/09/907-
  • 33. Page 35 An opportunity – Careful planning – Learning supports – Intentional design – Building iteratively – Input from stakeholders Global ‘research resource’, 2025 Doing ≠ Learning – 262 million students – 5.6 million person years of research time per year* Disclaimer: I haven't checked data & calculations *If 50% study time was allocated for research Evans, J., et al. (2015). Living labs and co-production: university campuses as platforms for sustainability science. Current Opinion in Environmental Sustainability, 16, 1-6 National Academies of Sciences, Engineering and Medicine. (2018). Learning through citizen science: Enhancing opportunities by design. Washington, DC: The National Academies Press. Students’ learning and research time is a huge underutilized intellectual resource that could make a huge difference to economies and society , BUT also…
  • 34. Page 36 Quality multiplied Do we have issues with quality?
  • 35. Page 37 Quality: What, who and how to evaluate it 1. Knowledge and skills – teachers (grades) 2. Experiences – students (course evaluations) 3. Workplace readiness – employers (satisfaction), accreditation 4. Value for money – governments (staff to student ratios, drop-outs, etc.)
  • 36. Page 38 Employer satisfaction with graduates, 2017 (AU) Including innovation QUILT (2017) The 2017 Employer Satisfaction Survey. National Report. From https://www.qilt.edu.au/about-this-
  • 37. Page 39 Student experience, 2017 (AU) 63% Internal/mixed 22% External QUILT (2018) The 2017 Student Experience Survey. National Report. From https://www.qilt.edu.au/about-this-site/student-
  • 38. Page 41 Do we have issues with quality? From: https://www.smh.com.au/education/university-degrees-obsolete-report- ernst-young-20180501-p4zcn5.html EY (2018) Can Universities Today Lead Learning for Tomorrow: The university of the future. From https://www.ey.com/au/en/industries/government---public- sector/ey-university-of-the-future-2030
  • 39. Page 42 NONE of these are 1. Students are not ‘consumers’ but co-creators of knowledge and universities 2. Universities have skin in the knowledge creation game 3. We should think about ‘relational’, not ‘reactive’, futures of HE The future of HE
  • 40. Page 43 Quality: What, who and how to evaluate it 1. Knowledge and skills – teachers (grades) 2. Experiences – students (course evaluations) 3. Workplace readiness – employers (satisfaction), accreditation 4. Value for money – governments (staff to student ratios, drop-outs, etc.) 5. Relevance and direct value – co-participants (co-produced knowledge artefacts, societal benefits)
  • 41. Page 44 HE as a ‘relational service’: Some insights 1. Expert-designed services 2. Students as customers of educational services 3. Gain knowledge and experiences 4. Predefined tasks, predictable outcomes 5. Quality is a responsibility of providers 6. A technological platform 1. Expert-enabled services 2. Students as co-producers of education 3. Develop capabilities to co-create knowledge & experiences 4. Negotiated tasks, emerging outcomes 5. Quality is a joint responsibility of co-producers 6. A sociotechnical system Standard Relational After Cipolla, C., & Manzini, E. (2009). Relational Services. Knowledge, Technology & Policy,
  • 42. Page 46 Final points What could you take away from this?
  • 43. Page 47 Main messages A runaway world – A world we can imagine, want to live in, and can create Knowledge that matters – interconnected, actionable, embodied in artefacts Learning that matters – ‘leaks’ into learning of others beyond students Quality multiplied – socially relevant, of direct value
  • 44. Page 48 Takeaway: ‘What’ Social learning should not just equip a greater number of students with more knowledge or provide them with positive experiences. Social learning should aspire to develop students’ capabilities to create actionable knowledge for complex workplace and societal issues, and directly contribute to solutions of these issues
  • 45. Page 49 Takeaway: ‘How’ Actionable knowledge for complex workplace & societal problems Quality of social learning Graduate qualities Quality of our society
  • 46. Page 50 Thank you Email: Lina.Marakauskaite@sydney.edu.au Website: https://epistemicfluency.com Twitter: @markauskaite eBook: https://www.springer.co m/9789400743687