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Open educational resources for all? Comparing user motivations and characteristics across The Open
University’s iTunes U channel and OpenLearn platform
Patrina Law, Open Media Unit, The Open University
Leigh-Anne Perryman, OER Research Hub, The Open University
Andrew Law, Open Media Unit, The Open University
“Advancement and dissemination of learning and knowledge … to promote the general
wellbeing of the community.”
2
The hypothesis:
Open education models lead to more equitable access to education, serving a broader base of learners than traditional education.
Online survey (n=1067)Disabled: 19%English first language: 81%UK resident: 66%
Online survey (n=2,208)Disabled: 13%English first language: 53%UK resident: 14%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
Under 15years
15 – 18 years 19 – 24 years 25 – 34 years 35 – 44 years 45 – 54 years 55 – 64 years 65 - 74 years Over 74years
Prefer not tosay
iTunes U
OpenLearn
Online survey (n=1067)Formal students (14%)Informal learners (87%)Educators (16%)
0%
5%
10%
15%
20%
25%
30%
35%
School leaving Vocational qual College dip/cert UG degree PG degree None
iTunes U
OpenLearn
Online survey (n=2,208)Formal students (38%)Informal learners (42%)Educators (18%)
The green figures highlight where disabled or unwaged users are above the overall percentage for that qualification category, the red figures show where they are below the overall percentage.
Non native English speakers residing in English speaking countries
iTunes U OpenLearn
% of respondents
in English-
speaking countries
English not first
language
% of respondents
in English-
speaking countries
English not first
language
49.39% 11.18% 66.45% 27.00%
Comparison of UK national data and survey data
UK national
data
iTunes U OpenLearn
Percentage of working
age adults living in the
UK who are disabled
16%* 15% in UK sample 18% in UK sample
Percentage living in the
UK with English not as
first language
8%** 9% in UK sample 10% in UK sample
*Department for Work and Pensions, Disability Facts and Figures, 2013**Office for National Statistics, 2013
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
90.00%
All -- less likely totake a paid-for
course
Informal learners-- more likely to
take paid-forcourse
Formal students -- more likely totake a paid-for
course
All -- more likelyto take a freecourse in thesubject area
All -- stronglyagree -- use OUmaterials withconfidence for
factual accuracy
iTunes U
OpenLearn
“I have tended to use these free modules from OU and elsewhere as tasters to help me decide on more formal distance learning courses.”
“…I would be prepared to pay for whole courses if I could afford them but I can't…”
“As a pensioner I cannot afford to pay for education, never the less I still feel the need to learn and achieve.”
Open education models lead to more equitable access to education, serving a broader base of learners than
traditional education
?
How are we responding to this data?
Key differences
between platforms
Short, medium + long term
action
1. Extend syndication2. Build badging infrastructure3. Improve ‘course’ experience (OpenLearn)4. Explore mobile optimisation5. Commissioning fine tuned to underserved groups e.g.
disabled/unwaged
0.00%5.00%
10.00%15.00%20.00%25.00%30.00%
iTunes U
OpenLearn
Ensure analytics give insight into underserved groups e.g. disabled, unwaged.
Ensure accessibility of online content. Provide multiple formats.
Provide mobile optimisation. Develop entry-level content to build
learners’ confidence. Consider non-native English speakers.
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