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Strategies 
for 
Dealing 
with 
Privacy 
in 
the 
context 
of 
LA 
Tore 
Hoel 
Oslo 
and 
Akershus 
University 
College 
of 
Applied 
Sciences 
Norway 
September 
2014
What 
is 
the 
problem 
with 
Privacy? 
2 
Medical 
Privacy 
Various 
methods 
have 
been 
used 
to 
protect 
patient's 
privacy. 
This 
1822 
drawing 
by 
Jacques-­‐Pierre 
Maygnier 
shows 
a 
"compromise" 
procedure, 
in 
which 
the 
physician 
is 
kneeling 
before 
the 
woman 
but 
cannot 
see 
her 
genitalia. 
(Wikipedia)
Privacy, 
Interoperability 
& 
Data 
Sharing 
"Silos, 
Acatlán, 
Hidalgo, 
México, 
2013-­‐10-­‐11, 
DD 
03" 
by 
Diego 
Delso 
-­‐ 
Own 
work. 
Licensed 
under 
Creative 
Commons 
Attribution-­‐Share 
Alike 
3.0 
via 
Wikimedia 
Commons3
Control 
or 
Limitations? 
Privacy 
is 
out 
of 
scope 
for 
LA 
– 
it 
is 
dealt 
with 
by 
basic 
infrastructure 
or 
front-­‐end 
applications 
"Silos, 
Acatlán, 
Hidalgo, 
México, 
2013-­‐10-­‐11, 
DD 
03" 
by 
Diego 
Delso 
-­‐ 
Own 
work. 
Licensed 
under 
Creative 
Commons 
Attribution-­‐Share 
Alike 
3.0 
via 
Wikimedia 
Commons4 
I 
want 
control 
over 
my 
own 
data! 
I 
want 
to 
grant 
limited 
access 
to 
your 
data!
Privacy 
defined… 
• Privacy 
is 
not 
simply 
an 
absence 
of 
information 
about 
us 
in 
the 
minds 
of 
others; 
rather 
it 
is 
the 
control 
we 
have 
over 
information 
about 
ourselves. 
-­‐-­‐Charles 
Fried 
• Privacy 
is 
a 
limitation 
of 
others’ 
access 
to 
an 
individual 
through 
information, 
attention, 
or 
physical 
proximity. 
-­‐-­‐Ruth 
Gavison 
5 
Or…
Privacy 
as 
Contextual 
Integrity 
• Norms 
of 
Appropriateness 
• Norms 
of 
Distribution 
(Flow, 
transfer) 
• S 
shares 
information 
with 
R 
at 
S’s 
discretion 
• R 
requires 
S 
to 
share 
information 
• R 
may 
freely 
share 
information 
about 
S 
• R 
may 
not 
share 
information 
about 
S 
with 
anyone 
• R 
may 
share 
information 
about 
S 
under 
specified 
constraints 
• Information 
flow 
is/is 
not 
reciprocal 
• etc. 
6 Source: 
Helen 
Nissenbaum
Integrity 
– 
respected 
or 
violated 
Contextual 
Integrity, 
is 
respected 
when 
norms 
of 
appropriateness 
and 
distribution 
are 
respected; 
it 
is 
violated 
when 
any 
of 
the 
norms 
are 
infringed. 
7
‘Contexts’ 
is 
the 
strategic 
word 
– 
so 
what? 
• Contexts 
are 
Structured 
Social 
Settings 
(“Institutions”) 
• Characterized 
by 
roles, 
relationships, 
power 
structures, 
canonical 
activities, 
strategies, 
norms 
(rules), 
enforcement 
mechanisms, 
and 
internal 
values 
(goals, 
ends, 
purposes) 
(Nissenbaum) 
8 
Health-­‐care 
Education 
Politics 
Religious 
observance
More 
about 
‘contexts’… 
9 
• Evolve 
over 
time 
in 
cultures 
and 
societies, 
subject 
to 
historical, 
cultural, 
geographic 
contingencies 
• May 
be 
nested, 
overlap, 
conflict 
• May 
be 
more 
or 
less 
explicit, 
formalized, 
institutionalized 
• May 
be 
more 
or 
less 
“complete”
Education 
as 
context(s) 
• Learning, 
Education 
and 
Training 
• Levels 
– 
K12, 
HE, 
LLL 
• Types 
of 
learning 
• Informal 
vs 
formal 
learning 
• Pedagogies 
• Learning 
styles 
10
Privacy 
a 
concern 
for 
LA 
research 
community? 
• Not 
really, 
it 
seems… 
• LAK14 
papers: 
12 
of 
47 
contained 
word 
‘privacy’ 
• we 
anonymised 
data 
before 
analysis 
• barrier 
& 
restriction 
• users 
are 
«concerned» 
-­‐ 
privacy 
as 
a 
risk 
• «Learners 
need 
to 
be 
convinced 
that 
they 
are 
reliable 
and 
will 
improve 
their 
learning 
without 
intruding 
into 
their 
privacy» 
(Ferguson, 
2014) 
• «Many 
myths 
surrounding 
the 
use 
of 
data, 
privacy 
infringement 
and 
ownership 
of 
data 
need 
to 
be 
dispelled 
and 
can 
be 
properly 
modulated 
once 
the 
values 
of 
learning 
analytics 
are 
realized» 
(Arnold, 
2014). 
11
LACE 
LA 
Quality 
Indicator 
study 
12 
Data 
Privacy 
– 
a 
major 
area 
of 
concern (Scheffel 
et 
al., 
in 
press)
What 
are 
the 
optimal 
contexts 
for 
discussing 
Privacy 
in 
Education? 
13
Privacy 
by 
Design 
14 
• «The 
principles 
of 
data 
protection 
by 
design 
and 
data 
protection 
by 
default» 
(European 
Commisson, 
2012) 
• 7 
Foundational 
Principles 
by 
PbD 
• Proactive 
not 
Reactive; 
Preventative 
not 
Remedial 
• Privacy 
as 
the 
Default 
Setting 
• Privacy 
Embedded 
into 
Design 
• Full 
Functionality 
-­‐ 
Positive-­‐Sum, 
not 
Zero-­‐Sum 
• End-­‐to-­‐End 
Security 
-­‐ 
Full 
Lifecycle 
Protection 
• Visibility 
and 
Transparency 
-­‐ 
Keep 
it 
Open 
• Respect 
for 
User 
Privacy 
-­‐ 
Keep 
it 
User-­‐Centric
Strategies 
for 
design 
of 
interoperable 
LA 
applications 
• Give 
Privacy 
priority 
– 
Privacy 
is 
in 
scope! 
• Follow 
Privacy 
by 
Design 
principles 
• Be 
aware 
of 
contexts 
• Focus 
on 
well 
defined 
and 
autonomous 
contexts 
first 
• When 
multiple 
contexts 
are 
involved, 
go 
for 
lightweight, 
low-­‐ 
ambitious 
solutions 
15
Questions 
• What 
are 
the 
relevant 
educational 
contexts 
from 
a 
Privacy 
perspective? 
• What 
contexts 
generate 
the 
most 
interesting 
data 
from 
a 
LA 
perspective? 
• If 
Social 
Media 
contexts 
are 
relevant 
for 
learning 
– 
how 
do 
we 
avoid 
contextual 
integrity 
infringements? 
• How 
are 
responsibilities 
balanced 
between 
learner 
and 
institution 
when 
it 
comes 
to 
the 
different 
contexts 
of 
Learning, 
Education 
and 
Training? 
16
www.laceproject.eu 
@laceproject 
“Strategies 
for 
Dealing 
with 
Privacy 
in 
the 
context 
of 
LA” 
by 
Tore 
Hoel, 
Oslo 
and 
Akershus 
University 
College 
of 
Applied 
Sciences, 
was 
presented 
at 
EC-­‐TEL 
workshop, 
Graz, 
Austria, 
on 
16 
September 
2014. 
! 
tore.hoel@hioa.no 
@tore 
This 
work 
was 
undertaken 
as 
part 
of 
the 
LACE 
Project, 
supported 
by 
the 
European 
Commission 
Seventh 
Framework 
Programme, 
grant 
619424. 
These 
slides 
are 
provided 
under 
the 
Creative 
Commons 
Attribution 
Licence: 
http://creativecommons.org/ 
licenses/by/4.0/. 
Some 
images 
used 
may 
have 
different 
licence 
terms. 
17

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Strategies for Dealing with Privacy in the context of Learning Analytics

  • 1. Strategies for Dealing with Privacy in the context of LA Tore Hoel Oslo and Akershus University College of Applied Sciences Norway September 2014
  • 2. What is the problem with Privacy? 2 Medical Privacy Various methods have been used to protect patient's privacy. This 1822 drawing by Jacques-­‐Pierre Maygnier shows a "compromise" procedure, in which the physician is kneeling before the woman but cannot see her genitalia. (Wikipedia)
  • 3. Privacy, Interoperability & Data Sharing "Silos, Acatlán, Hidalgo, México, 2013-­‐10-­‐11, DD 03" by Diego Delso -­‐ Own work. Licensed under Creative Commons Attribution-­‐Share Alike 3.0 via Wikimedia Commons3
  • 4. Control or Limitations? Privacy is out of scope for LA – it is dealt with by basic infrastructure or front-­‐end applications "Silos, Acatlán, Hidalgo, México, 2013-­‐10-­‐11, DD 03" by Diego Delso -­‐ Own work. Licensed under Creative Commons Attribution-­‐Share Alike 3.0 via Wikimedia Commons4 I want control over my own data! I want to grant limited access to your data!
  • 5. Privacy defined… • Privacy is not simply an absence of information about us in the minds of others; rather it is the control we have over information about ourselves. -­‐-­‐Charles Fried • Privacy is a limitation of others’ access to an individual through information, attention, or physical proximity. -­‐-­‐Ruth Gavison 5 Or…
  • 6. Privacy as Contextual Integrity • Norms of Appropriateness • Norms of Distribution (Flow, transfer) • S shares information with R at S’s discretion • R requires S to share information • R may freely share information about S • R may not share information about S with anyone • R may share information about S under specified constraints • Information flow is/is not reciprocal • etc. 6 Source: Helen Nissenbaum
  • 7. Integrity – respected or violated Contextual Integrity, is respected when norms of appropriateness and distribution are respected; it is violated when any of the norms are infringed. 7
  • 8. ‘Contexts’ is the strategic word – so what? • Contexts are Structured Social Settings (“Institutions”) • Characterized by roles, relationships, power structures, canonical activities, strategies, norms (rules), enforcement mechanisms, and internal values (goals, ends, purposes) (Nissenbaum) 8 Health-­‐care Education Politics Religious observance
  • 9. More about ‘contexts’… 9 • Evolve over time in cultures and societies, subject to historical, cultural, geographic contingencies • May be nested, overlap, conflict • May be more or less explicit, formalized, institutionalized • May be more or less “complete”
  • 10. Education as context(s) • Learning, Education and Training • Levels – K12, HE, LLL • Types of learning • Informal vs formal learning • Pedagogies • Learning styles 10
  • 11. Privacy a concern for LA research community? • Not really, it seems… • LAK14 papers: 12 of 47 contained word ‘privacy’ • we anonymised data before analysis • barrier & restriction • users are «concerned» -­‐ privacy as a risk • «Learners need to be convinced that they are reliable and will improve their learning without intruding into their privacy» (Ferguson, 2014) • «Many myths surrounding the use of data, privacy infringement and ownership of data need to be dispelled and can be properly modulated once the values of learning analytics are realized» (Arnold, 2014). 11
  • 12. LACE LA Quality Indicator study 12 Data Privacy – a major area of concern (Scheffel et al., in press)
  • 13. What are the optimal contexts for discussing Privacy in Education? 13
  • 14. Privacy by Design 14 • «The principles of data protection by design and data protection by default» (European Commisson, 2012) • 7 Foundational Principles by PbD • Proactive not Reactive; Preventative not Remedial • Privacy as the Default Setting • Privacy Embedded into Design • Full Functionality -­‐ Positive-­‐Sum, not Zero-­‐Sum • End-­‐to-­‐End Security -­‐ Full Lifecycle Protection • Visibility and Transparency -­‐ Keep it Open • Respect for User Privacy -­‐ Keep it User-­‐Centric
  • 15. Strategies for design of interoperable LA applications • Give Privacy priority – Privacy is in scope! • Follow Privacy by Design principles • Be aware of contexts • Focus on well defined and autonomous contexts first • When multiple contexts are involved, go for lightweight, low-­‐ ambitious solutions 15
  • 16. Questions • What are the relevant educational contexts from a Privacy perspective? • What contexts generate the most interesting data from a LA perspective? • If Social Media contexts are relevant for learning – how do we avoid contextual integrity infringements? • How are responsibilities balanced between learner and institution when it comes to the different contexts of Learning, Education and Training? 16
  • 17. www.laceproject.eu @laceproject “Strategies for Dealing with Privacy in the context of LA” by Tore Hoel, Oslo and Akershus University College of Applied Sciences, was presented at EC-­‐TEL workshop, Graz, Austria, on 16 September 2014. ! tore.hoel@hioa.no @tore This work was undertaken as part of the LACE Project, supported by the European Commission Seventh Framework Programme, grant 619424. These slides are provided under the Creative Commons Attribution Licence: http://creativecommons.org/ licenses/by/4.0/. Some images used may have different licence terms. 17