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The future of Learning Analytics
Wat is haalbaar en wat is wenselijk?
Hendrik Drachsler| Open Universiteit
Onderwijsdagen 2015| 11 November 2015
#laceproject, #owd2015, @hdrachsler
The future of Learning Analytics
Wat is haalbaar en wat is wenselijk?
Hendrik Drachsler| Open Universiteit
Onderwijsdagen 2015| 11 November 2015
#laceproject, #owd2015, @hdrachsler
The LACE project
3
K12 Workplace
HEI Community-building through events &
communication channels/social media
(cross-disciplinary HEI, K12, Workplace)
 Technology transfer & best practice
 Organized 22 events, and contributed to 33
(tutorials, workshops, conferences, etc.
Dé Onderwijsdagen, 11 November 2015
European support action aimed at integrate communities working on LA from schools,
workplace and universities
LACE Goals and objectives
4
• Objective 1 – Promote
knowledge creation and
exchange
• Objective 2 – Increase the
evidence base
• Objective 3 – Contribute to
the definition of future
directions
• Objective 4 – Build consensus
on interoperability and data
sharing
Dé Onderwijsdagen, 11 November 2015
Why envisioning the future of learning analytics
 We are interested in indications
of the future of learning
analytics:
 To provide guidance for policy
makers
 To help coordinate research
 We have described 9 possible
futures of learning analytics
(visions)
 Conceivable with current
technology, but challenging in
their implications
 Developed and winnowed
down within the project
5
We are carrying out a 'policy Delphi'
6
 To solicit informed judgments on the future of
learning analytics, in order to understand
 The underlying trends
 The opinions of stakeholders from different areas
 The visions are of interest in themselves, but their
main purpose is as a tool for eliciting and thinking
about beliefs about
 The trends which are driving learning analytics
 The implications of those trends
Today's workshop
 Share the visions:
 https://goo.gl/Elsx3x
 The main purpose is to generate enlightening
conversations on
 The current trends in learning analytics
 Where those trends are leading to
 We would also like to include the points from your
conclusions in the wider study.
 All contributions will be anonymous
7
Three stages of the workshop
 Stage 1: Short presentation of a vision (Doug)
 Stage 2: Rate Vision on (Audience)
 1. ‘haalbaar’ =‘feasible’
 2. ‘wenselijk’ = ‘desirable’
 By raising your hands!
 Stage 3: Capture some comments on each Vision
 Miriam Brand will take notes on rating results per vision
and write down comments
In total 5 minutes per Vision, let’s see how far we get !!!
Vision 1: 2025, LA are essential tools for
educational management
9Pic by: Janneke Staaks, https://www.flickr.com/photos/jannekestaaks/14204590229/
• A wide range of data about
learner behaviour is used
• This generates good quality,
real-time predictions about
likely study success
• Learners, teachers,
managers and policymakers
have access to live
information
• You don’t have to wait to
see if a course is booming
or failing
Vision 2: 2025, LA analytics support self-directed
autonomous learning
10Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/
• No Curricula anymore
• Students create study
groups that decide their
learning goals and how to
achieve these
• Analytics support info
exchange and group
collaborations
• Teachers become MENTORS
• Formative assessment is
used to guide future
progress towards learning
goals
Vision 3: 2025, analytics are rarely used in
education
11Pic by: Tara Hunt, https://www.flickr.com/photos/missrogue/94403705
• Courses that are automated
by analytics are seen as
inferior
• Learners have realised that
they can game the system
• There have been major
leaks and misuse of
sensitive personal data
• All use of data for
educational purposes has to
be approved not only by the
learner but also by new
inspectorates.
Vision 4: 2025, classrooms monitor the physical
environment to support learning and teaching
12Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/
• Furniture, pens, writing pads –
almost any tool used during
learning – can be fitted with
sensors.
• Cameras monitor movements,
and record exactly how learners
work with and manipulate
objects.
• Information is used to monitor
learners’ progress.
• Teachers are alerted to signs of
individual learner’s boredom,
confusion, and deviation from
task.
Vision 5: 2025, most teaching is delegated to
computers
13Pic by: Charis Tsevis, https://farm6.staticflickr.com/5215/5470451264_c0612f2102_z_d.jpg
• Development of enormous
datasets containing information
about hundreds of thousands of
learners
• It is possible to provide reliable
evidence-based
recommendations about the
most successful routes to
learning
• Recommendations are better
informed and more reliable than
by even the best-trained humans
Vision 6: 2025, personal data tracking supports
learning
14Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/
• Sensors gather personal
information about factors
such as posture, attention,
rest, stress, blood sugar, and
metabolic rate.
• This data helps people to
master skills as swimming,
driving, and passing
examinations
• Programmes using this data
to optimise learning for
different ages and courses
Vision 7: 2025, individuals control their own data
15Pic by: Gideon Burton, https://www.flickr.com/photos/wakingtiger/3157622608
• People are aware of the importance
and value of their data.
• Learners control the type and
quantity of personal data that they
share, and with whom they share it
• If they do not engage with these
tools, then no data is shared and no
benefits gained.
• Most educational institutions run
campaigns to raise awareness of the
risks and exposure of data
Provide your ideas for the Future!
 Don’t forget to share the
Visions with your colleges or
friends
 We are keen on getting as
many replies to make a rich
judgment how the future will
look like
 You can find the Visions here:
https://goo.gl/Elsx3x
17
“The future of Learning Analytics” by Hendrik Drachsler, OU
NL, and Doug Clow, OU UK, was presented at the
Onderwijsdagen 2015 in Rotterdam, Netherlands 11
November, 2015.
@dougclow
dougclow.org
doug.clow@open.ac.uk
This work was undertaken as part of the LACE Project, supported by the European Commission Seventh
Framework Programme, grant 619424.
www.laceproject.eu
@laceproject
18

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De toekomst van Learning Analytics - wat is haalbaar en wat is wenselijk?

  • 1. The future of Learning Analytics Wat is haalbaar en wat is wenselijk? Hendrik Drachsler| Open Universiteit Onderwijsdagen 2015| 11 November 2015 #laceproject, #owd2015, @hdrachsler
  • 2. The future of Learning Analytics Wat is haalbaar en wat is wenselijk? Hendrik Drachsler| Open Universiteit Onderwijsdagen 2015| 11 November 2015 #laceproject, #owd2015, @hdrachsler
  • 3. The LACE project 3 K12 Workplace HEI Community-building through events & communication channels/social media (cross-disciplinary HEI, K12, Workplace)  Technology transfer & best practice  Organized 22 events, and contributed to 33 (tutorials, workshops, conferences, etc. Dé Onderwijsdagen, 11 November 2015 European support action aimed at integrate communities working on LA from schools, workplace and universities
  • 4. LACE Goals and objectives 4 • Objective 1 – Promote knowledge creation and exchange • Objective 2 – Increase the evidence base • Objective 3 – Contribute to the definition of future directions • Objective 4 – Build consensus on interoperability and data sharing Dé Onderwijsdagen, 11 November 2015
  • 5. Why envisioning the future of learning analytics  We are interested in indications of the future of learning analytics:  To provide guidance for policy makers  To help coordinate research  We have described 9 possible futures of learning analytics (visions)  Conceivable with current technology, but challenging in their implications  Developed and winnowed down within the project 5
  • 6. We are carrying out a 'policy Delphi' 6  To solicit informed judgments on the future of learning analytics, in order to understand  The underlying trends  The opinions of stakeholders from different areas  The visions are of interest in themselves, but their main purpose is as a tool for eliciting and thinking about beliefs about  The trends which are driving learning analytics  The implications of those trends
  • 7. Today's workshop  Share the visions:  https://goo.gl/Elsx3x  The main purpose is to generate enlightening conversations on  The current trends in learning analytics  Where those trends are leading to  We would also like to include the points from your conclusions in the wider study.  All contributions will be anonymous 7
  • 8. Three stages of the workshop  Stage 1: Short presentation of a vision (Doug)  Stage 2: Rate Vision on (Audience)  1. ‘haalbaar’ =‘feasible’  2. ‘wenselijk’ = ‘desirable’  By raising your hands!  Stage 3: Capture some comments on each Vision  Miriam Brand will take notes on rating results per vision and write down comments In total 5 minutes per Vision, let’s see how far we get !!!
  • 9. Vision 1: 2025, LA are essential tools for educational management 9Pic by: Janneke Staaks, https://www.flickr.com/photos/jannekestaaks/14204590229/ • A wide range of data about learner behaviour is used • This generates good quality, real-time predictions about likely study success • Learners, teachers, managers and policymakers have access to live information • You don’t have to wait to see if a course is booming or failing
  • 10. Vision 2: 2025, LA analytics support self-directed autonomous learning 10Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/ • No Curricula anymore • Students create study groups that decide their learning goals and how to achieve these • Analytics support info exchange and group collaborations • Teachers become MENTORS • Formative assessment is used to guide future progress towards learning goals
  • 11. Vision 3: 2025, analytics are rarely used in education 11Pic by: Tara Hunt, https://www.flickr.com/photos/missrogue/94403705 • Courses that are automated by analytics are seen as inferior • Learners have realised that they can game the system • There have been major leaks and misuse of sensitive personal data • All use of data for educational purposes has to be approved not only by the learner but also by new inspectorates.
  • 12. Vision 4: 2025, classrooms monitor the physical environment to support learning and teaching 12Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/ • Furniture, pens, writing pads – almost any tool used during learning – can be fitted with sensors. • Cameras monitor movements, and record exactly how learners work with and manipulate objects. • Information is used to monitor learners’ progress. • Teachers are alerted to signs of individual learner’s boredom, confusion, and deviation from task.
  • 13. Vision 5: 2025, most teaching is delegated to computers 13Pic by: Charis Tsevis, https://farm6.staticflickr.com/5215/5470451264_c0612f2102_z_d.jpg • Development of enormous datasets containing information about hundreds of thousands of learners • It is possible to provide reliable evidence-based recommendations about the most successful routes to learning • Recommendations are better informed and more reliable than by even the best-trained humans
  • 14. Vision 6: 2025, personal data tracking supports learning 14Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/ • Sensors gather personal information about factors such as posture, attention, rest, stress, blood sugar, and metabolic rate. • This data helps people to master skills as swimming, driving, and passing examinations • Programmes using this data to optimise learning for different ages and courses
  • 15. Vision 7: 2025, individuals control their own data 15Pic by: Gideon Burton, https://www.flickr.com/photos/wakingtiger/3157622608 • People are aware of the importance and value of their data. • Learners control the type and quantity of personal data that they share, and with whom they share it • If they do not engage with these tools, then no data is shared and no benefits gained. • Most educational institutions run campaigns to raise awareness of the risks and exposure of data
  • 16. Provide your ideas for the Future!  Don’t forget to share the Visions with your colleges or friends  We are keen on getting as many replies to make a rich judgment how the future will look like  You can find the Visions here: https://goo.gl/Elsx3x 17
  • 17. “The future of Learning Analytics” by Hendrik Drachsler, OU NL, and Doug Clow, OU UK, was presented at the Onderwijsdagen 2015 in Rotterdam, Netherlands 11 November, 2015. @dougclow dougclow.org doug.clow@open.ac.uk This work was undertaken as part of the LACE Project, supported by the European Commission Seventh Framework Programme, grant 619424. www.laceproject.eu @laceproject 18